JosiahSiegel
217 verified skills8,168 total stars
ml-evaluation
This skill should be used when the user asks to evaluate, validate, compare, explain, or debug model performance. PROACTIVELY activate for: (1) metrics selection for classification, regression, ranking, NLP, CV, recommender, forecasting, and generative AI, (2) train/validation/test splits, cross-validation, grouped or time-series validation, (3) confusion matrices, ROC/PR curves, calibration, thresholds, error analysis, (4) ablation studies, statistical significance, confidence intervals, bootstrap tests, (5) bias, fairness, explainability, robustness, leakage detection. Provides: rigorous evaluation methodology and production-readiness checks.
development38
python-github-actions
Complete Python GitHub Actions system. PROACTIVELY activate for: (1) uv-based CI workflows (10-100x faster), (2) Matrix testing across Python versions, (3) Dependency caching with setup-uv, (4) Parallel test execution, (5) Reusable workflows, (6) Publishing to PyPI with trusted publishing, (7) Code coverage with codecov, (8) Security scanning. Provides: Workflow templates, caching config, matrix strategies, composite actions. Ensures fast, reliable CI/CD pipelines.
development38
python-fastapi
Complete FastAPI production system. PROACTIVELY activate for: (1) Project structure (scalable layout), (2) Pydantic schemas (input/output separation), (3) Dependency injection, (4) Async database with SQLAlchemy, (5) JWT authentication, (6) Error handling patterns, (7) Docker deployment, (8) Gunicorn + Uvicorn production, (9) Rate limiting, (10) Testing with httpx. Provides: Project templates, schema patterns, auth setup, Docker config. Ensures production-ready FastAPI applications.
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python-asyncio
Complete Python asyncio system. PROACTIVELY activate for: (1) async/await syntax, (2) asyncio.gather for concurrent execution, (3) TaskGroup (3.11+), (4) Semaphores for rate limiting, (5) Timeouts with asyncio.timeout, (6) Producer-consumer with Queue, (7) Async generators and context managers, (8) uvloop performance, (9) Common async gotchas. Provides: Concurrent patterns, I/O optimization, async libraries (aiohttp, httpx, asyncpg). Ensures correct async patterns without blocking.
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python-testing
Complete Python testing system. PROACTIVELY activate for: (1) pytest fundamentals, (2) Fixtures and scopes, (3) Parameterized tests, (4) Mocking with pytest-mock, (5) Async testing with pytest-asyncio, (6) Coverage configuration, (7) FastAPI testing with httpx, (8) Property-based testing with hypothesis, (9) Snapshot testing. Provides: pytest patterns, fixture examples, mock setup, coverage config. Ensures comprehensive test coverage with best practices.
development38
react-forms
Complete React forms system. PROACTIVELY activate for: (1) Controlled form patterns, (2) React Hook Form setup and validation, (3) Zod schema validation, (4) Dynamic fields with useFieldArray, (5) Server Actions with forms, (6) useOptimistic for optimistic updates, (7) File upload handling, (8) Multi-step form wizards. Provides: Form validation, error handling, field arrays, file drag-drop, form state management. Ensures robust form handling with proper validation and UX.
development38
python-type-hints
Complete Python type hints system. PROACTIVELY activate for: (1) Built-in generics (list[str], dict[str, int]), (2) Union types (str | None), (3) Type parameter syntax 3.12+, (4) Protocol for structural typing, (5) TypedDict for dict schemas, (6) Literal and Final types, (7) TypeGuard and TypeIs, (8) ParamSpec for decorators, (9) Mypy/Pyright configuration. Provides: Type syntax, Protocol patterns, TypedDict, mypy config. Ensures static type safety with gradual typing strategy.
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python-video-pipeline
Expert guide to end-to-end Python video pipelines combining FFmpeg, OpenCV, PyAV, ffmpegcv, Decord, VidGear, and Modal.com for scalable GPU-accelerated workflows. PROACTIVELY activate for: (1) FFmpeg+OpenCV in same pipeline (decode, process, re-encode); (2) color-format mismatches (BGR vs RGB across OpenCV, PIL, PyAV, FFmpeg); (3) frame dim ordering (HWC vs CHW) between OpenCV and ML frameworks; (4) audio stream loss in filter chains; (5) memory mgmt for long/large videos (streaming vs in-memory); (6) choosing ffmpegcv/Decord/VidGear/PyAV for performance; (7) GPU decode/encode on Modal.com; (8) parallel + chunk-based processing on Modal; (9) transcoding pipelines on serverless; (10) HLS generation on Modal; (11) upload -> process -> transcode -> HLS workflows; (12) batch sizing for GPU memory, pixel formats, large-video streaming. Provides: library selection matrix, integration recipes, Modal.com deployment examples, GPU pipeline tuning, production-ready workflow examples.
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react-state-management
Complete React state management system. PROACTIVELY activate for: (1) Context API patterns and optimization, (2) Zustand store setup and usage, (3) Jotai atomic state, (4) TanStack Query (React Query) for server state, (5) SWR data fetching, (6) useState vs useReducer decisions, (7) State normalization, (8) Avoiding prop drilling. Provides: Store configuration, context optimization, server state caching, optimistic updates, infinite queries. Ensures scalable state architecture with proper tool selection.
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react-performance
Complete React performance optimization system. PROACTIVELY activate for: (1) React.memo and memoization, (2) useMemo and useCallback usage, (3) Code splitting with React.lazy, (4) List virtualization (react-window, react-virtuoso), (5) Avoiding unnecessary re-renders, (6) useTransition and useDeferredValue, (7) Bundle optimization, (8) Web Vitals and profiling. Provides: Profiler setup, memoization patterns, lazy loading, virtualization config, state colocation. Ensures optimal React performance with measurable improvements.
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flow-orchestrator-2025
Salesforce Flow Orchestrator for multi-user, multi-step business processes (2025). PROACTIVELY activate for: (1) building Flow Orchestrations (autolaunched and screen flows), (2) work assignment to users, queues, or roles, (3) interactive vs background steps, (4) approval-style workflows in Flow, (5) parallel and sequential stages, (6) Flow Orchestrator events (StageCompleted, OrchestrationCanceled), (7) error handling and resume patterns, (8) testing orchestrations, (9) migrating from legacy Process Builder/Workflow Rules, (10) Flow Orchestrator vs Approval Process tradeoffs. Provides: orchestration design patterns, stage/step templates, error-handling recipes, and migration guidance.
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react-patterns
Complete React component patterns system. PROACTIVELY activate for: (1) Compound components with context, (2) Render props pattern, (3) Higher-Order Components (HOC), (4) Custom hooks as patterns, (5) Provider pattern with reducer, (6) Controlled vs uncontrolled components, (7) Prop getter pattern, (8) State reducer pattern. Provides: Pattern implementations, composition strategies, reusable component APIs, flexible state control. Ensures clean, maintainable component architecture.
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react-testing
Complete React testing system. PROACTIVELY activate for: (1) Vitest/Jest setup and configuration, (2) React Testing Library patterns, (3) Component testing with userEvent, (4) Custom hook testing with renderHook, (5) Mocking modules and components, (6) Async component testing, (7) Context and provider testing, (8) Accessibility testing with jest-axe. Provides: Test setup, query priority, user simulation, mock patterns, integration testing. Ensures reliable tests that focus on user behavior.
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react-hooks-complete
Complete React hooks reference system. PROACTIVELY activate for: (1) useState and useReducer patterns, (2) useEffect and lifecycle, (3) useRef for DOM and values, (4) useContext for shared state, (5) useMemo and useCallback optimization, (6) React 19 hooks (useTransition, useDeferredValue, useActionState, useOptimistic), (7) Custom hook development, (8) Hook rules and best practices. Provides: Hook syntax, effect cleanup patterns, performance optimization, custom hook patterns. Ensures correct hook usage following React best practices.
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react-typescript
Complete React TypeScript system. PROACTIVELY activate for: (1) Component props typing, (2) Event handler types, (3) Hooks with TypeScript, (4) Generic components, (5) forwardRef typing, (6) Context with type safety, (7) Utility types (Partial, Pick, Omit), (8) Discriminated unions for state. Provides: Props interfaces, event types, generic patterns, type-safe context, polymorphic components. Ensures type-safe React with proper TypeScript patterns.
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agentforce-2025
Salesforce Agentforce AI agents and autonomous automation (2025-2026). PROACTIVELY activate for: (1) building Agentforce agents and topics, (2) Agent Builder configuration, (3) Atlas Reasoning Engine usage, (4) Agentforce action setup (Apex, Flow, Prompt Templates), (5) topic-based routing and instructions, (6) Agentforce Service Agent vs Sales Agent vs Custom, (7) Einstein Trust Layer (data masking, toxicity detection), (8) prompt engineering for grounded responses, (9) Agentforce testing and Test Center, (10) deploying agents across orgs. Provides: agent design patterns, topic and action templates, prompt engineering recipes, Trust Layer configuration, and deployment workflow.
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windows-git-bash-paths
Windows and Git Bash path handling for SSDT, SqlPackage, and DACPAC files. PROACTIVELY activate for: (1) SqlPackage failing on Git Bash with path errors, (2) DACPAC file path conversion (MSYS, MINGW), (3) shell detection (PowerShell vs Git Bash) for SSDT scripts, (4) MSYS_NO_PATHCONV usage, (5) Windows-style backslash paths in publish profiles, (6) running dotnet build of .sqlproj from Git Bash, (7) cross-platform pipeline compatibility, (8) line-ending issues in SQL files. Provides: SqlPackage path-conversion recipes, shell-detection helpers, dotnet build patterns from bash, and CRLF/LF normalization steps.
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sql-server-2025
SQL Server 2025 and SqlPackage 170.2.70 (October 2025) — vector databases, AI integration, and modern features. PROACTIVELY activate for: (1) SQL Server 2025 features, (2) vector type and vector indexes for AI, (3) Vector functions (VECTOR_DISTANCE, etc.), (4) AI integration (Azure OpenAI, embeddings, RAG), (5) JSON type and JSON_ARRAYAGG, (6) parameter sensitivity plan optimization, (7) SqlPackage 170.2.70 new features and switches, (8) Always Encrypted with secure enclaves on 2025, (9) ledger tables, (10) Azure Arc-enabled SQL Server. Provides: SQL 2025 changelog, vector type usage, AI integration patterns, SqlPackage 170.2.70 reference, and migration guidance.
devops38
lightning-2025-features
Salesforce Lightning Web Components and platform features (Winter '26 / 2025). PROACTIVELY activate for: (1) authoring Lightning Web Components (LWC), (2) Wire service and @wire decorator, (3) Apex from LWC (imperative, @wire), (4) Lightning Data Service and recordEditForm/recordViewForm, (5) Lightning Design System (SLDS) styling, (6) Salesforce Mobile App development, (7) LWC events (composed, bubbles, custom events), (8) LWC testing with Jest and sfdx-lwc-jest, (9) Winter '26 platform features (new APIs, deprecations), (10) LWC + Experience Cloud customization. Provides: LWC component templates, @wire patterns, SLDS class reference, Jest test recipes, and Winter '26 changelog.
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tailwindcss-accessibility
Tailwind CSS accessibility patterns including WCAG 2.2 compliance, touch targets, focus management, and ARIA. PROACTIVELY activate for: (1) building accessible UI with Tailwind, (2) WCAG 2.2 compliance (Level A, AA, AAA), (3) focus rings and focus-visible styling, (4) minimum touch-target sizes (24x24/44x44), (5) color contrast and text legibility, (6) screen-reader-only utilities (sr-only, not-sr-only), (7) prefers-reduced-motion handling, (8) ARIA attribute styling (data-state, aria-* selectors), (9) keyboard navigation patterns, (10) accessible forms (label association, error announcements). Provides: WCAG 2.2 checklist, focus-management utilities, touch-target sizing recipes, sr-only patterns, and accessible component templates.
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stripe-credit-audit-trail
credit_transactions audit trail invariants and daily reconciliation patterns. PROACTIVELY activate for: (1) Designing a credit / balance / entitlement ledger, (2) credit_transactions row shape (delta, balanceAfter, reason, referenceType, referenceId, idempotencyKey), (3) Canonical idempotency key formats (refund:/debit:/stripe_checkout:/stripe_invoice:/stripe_refund:/stripe_signup_bonus:/dispute_hold:/dispute_restore:), (4) Daily reconciliation cron design (snapshot comparison, not full-sum), (5) Alert-only policy (never auto-correct drift), (6) Canonical refund helper pattern (single source of truth across pg-raw and Drizzle call sites), (7) Past_due block + credit balance shared preflight, (8) creditsDeducted boolean return pattern for pre- vs post-deduction error differentiation, (9) Money-safe email description based on resolvedVia flag, (10) Skip-users-without-baseline-snapshot reconciliation logic. Provides: table schema, canonical helper skeleton, reconciliation SQL, email gating pattern.
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stripe-refund-dispute-lifecycle
Complete Stripe refund and dispute lifecycle handling. PROACTIVELY activate for: (1) charge.refunded handler design, (2) charge.dispute.created / charge.dispute.closed handlers, (3) Refund delta computation from event.data.previous_attributes.amount_refunded, (4) Dispute-hold past_due status management, (5) shouldRestoreStatus predicate with satisfies Record<Stripe.Dispute.Status, boolean>, (6) Credit-pack vs subscription refund differentiation, (7) Checkout Session lookup for refund proportion math, (8) Allowlist default-deny for external enums, (9) stripe.checkout.sessions.list({payment_intent}) pattern, (10) Dispute outcome branch logic (won / lost / warning_closed / prevented). Provides: full handler patterns for all three events, predicate examples, credit-pack vs subscription math, exhaustive switch patterns.
testing38
stripe-list-pagination-previous-attributes
Stripe list-API pagination and event.data.previous_attributes semantics. PROACTIVELY activate for: (1) invoice.lines.data / charge.refunds.data / subscription.items.data embedded pagination, (2) starting_after cursor when falling through to list APIs, (3) has_more flag checking, (4) event.data.previous_attributes field semantics (which fields changed between old and new state), (5) Cumulative vs per-event Stripe fields (charge.amount_refunded is cumulative), (6) Delta computation patterns, (7) Plan resolution from invoice line items with pagination, (8) Safety fallback on pagination exhaustion (G6 — {plan:'free',credits:0}), (9) API error handling mid-scan. Provides: full pagination scan pattern, previous_attributes delta helper, plan resolver with paginated line-item scan.
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hyperforce-2025
Salesforce Hyperforce public cloud infrastructure and architecture (2025). PROACTIVELY activate for: (1) understanding Hyperforce architecture (multi-region, public cloud), (2) Hyperforce migration planning, (3) data residency and regional deployments, (4) Hyperforce security model (BYOK, Shield encryption), (5) network architecture (PrivateLink, public IP allowlists), (6) Hyperforce vs first-generation infrastructure differences, (7) backup and disaster recovery on Hyperforce, (8) Hyperforce performance and SLA, (9) compliance certifications (HIPAA, FedRAMP, GDPR). Provides: Hyperforce overview, migration checklist, network architecture patterns, BYOK setup, and DR/backup configuration.
testing38
python-gotchas
Complete Python gotchas reference. PROACTIVELY activate for: (1) Mutable default arguments, (2) Mutating lists while iterating, (3) is vs == comparison, (4) Late binding in closures, (5) Variable scope (LEGB), (6) Floating point precision, (7) Exception handling pitfalls, (8) Dict mutation during iteration, (9) Circular imports, (10) Class vs instance attributes. Provides: Problem explanations, code examples, fixes for each gotcha. Ensures bug-free Python code.
development38
unity-editor-tooling
Unity Editor tooling, build automation, and asset pipeline customization. PROACTIVELY activate for: (1) writing custom Editor scripts, (2) custom inspectors and PropertyDrawer attributes, (3) EditorWindow creation, (4) ScriptedImporter for custom asset types, (5) build pipeline scripting (BuildPipeline.BuildPlayer, IBuildPostprocessor), (6) platform-switching automation, (7) CI/CD for Unity (GameCI, GitHub Actions, Unity Build Automation), (8) Assembly Definition (.asmdef) organization, (9) preprocessor symbols and platform defines, (10) Editor-only code with #if UNITY_EDITOR. Provides: custom inspector templates, EditorWindow examples, build script patterns, GameCI setup, .asmdef best practices, and CI YAML for Unity builds.
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unity-performance
Unity performance optimization for slow games, stutters, and FPS drops. PROACTIVELY activate for: (1) game is slow, stuttering, or has FPS drops, (2) Unity Profiler analysis, (3) Frame Debugger and draw-call investigation, (4) batching (static, dynamic, GPU instancing, SRP Batcher), (5) object pooling to reduce GC pressure, (6) garbage collection spikes and allocation hot paths, (7) memory leaks and Memory Profiler usage, (8) LOD and occlusion culling, (9) texture compression and mipmap settings, (10) build size reduction. Provides: profiling workflow, batching patterns, object-pool implementations, GC reduction techniques, LOD/culling setup, and texture-compression matrix.
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tailwindcss-debugging
Tailwind CSS debugging and troubleshooting common issues. PROACTIVELY activate for: (1) classes not applying / no styles in browser, (2) JIT mode not picking up dynamic class names (string concatenation), (3) v3-to-v4 migration errors, (4) PostCSS configuration issues, (5) IntelliSense not autocompleting in VS Code, (6) production build missing classes (purge/content config), (7) CSS variable conflicts, (8) specificity issues with @layer, (9) prefix conflicts with other CSS frameworks, (10) HMR not updating styles. Provides: troubleshooting decision tree, dynamic-class allowlist patterns, content-config templates, IntelliSense setup, and PostCSS debugging steps.
development38
tailwindcss-performance
Tailwind CSS performance optimization including v4 improvements. PROACTIVELY activate for: (1) Tailwind v4 Oxide engine performance, (2) Lightning CSS minification, (3) reducing CSS bundle size, (4) content config tuning to avoid scanning unused files, (5) safelist for dynamic classes (without bloating), (6) production builds with @apply minimization, (7) critical CSS extraction, (8) HTTP caching of generated CSS, (9) avoiding @apply overuse (utility-first preferred), (10) PurgeCSS / content-detection edge cases. Provides: performance tuning checklist, Oxide engine notes, content config patterns, safelist guidance, and critical-CSS workflow.
tools38
opentofu-guide
OpenTofu (Terraform open-source fork) guide and migration. PROACTIVELY activate for: (1) OpenTofu installation and tofu CLI usage, (2) migrating from Terraform CLI to OpenTofu, (3) provider compatibility between Terraform and OpenTofu, (4) state file compatibility, (5) OpenTofu-specific features (encrypted state, dynamic provider config), (6) Terraform Registry vs OpenTofu Registry, (7) CI/CD with OpenTofu (GitHub Actions, Azure DevOps), (8) HashiCorp BSL license vs OpenTofu MPL, (9) using OpenTofu with Terragrunt. Provides: migration checklist, CLI command mapping, encrypted state setup, registry comparison, and CI YAML templates.
tools38
tailwindcss-animations
Tailwind CSS animations and transitions including built-in utilities and custom keyframes. PROACTIVELY activate for: (1) animate-* utilities (spin, ping, pulse, bounce), (2) custom @keyframes via @theme animate, (3) transition utilities (transition, duration, ease), (4) transforms (scale, rotate, translate) with transition, (5) prefers-reduced-motion: reduce, (6) Framer Motion / Motion One integration with Tailwind, (7) CSS scroll-driven animations (animation-timeline), (8) view transitions API with Tailwind, (9) hover, focus, group-hover transitions, (10) staggered list animations. Provides: animation utility reference, custom keyframe examples, reduced-motion pattern, Framer Motion integration, and scroll-driven animation recipes.
tools38
tailwindcss-fundamentals-v4
Tailwind CSS v4 fundamentals — installation, CSS-first configuration, and 2025-2026 best practices. PROACTIVELY activate for: (1) installing Tailwind v4 (Vite plugin, PostCSS, CLI), (2) CSS-first configuration with @theme, (3) @import "tailwindcss" syntax, (4) v3-to-v4 migration, (5) new utilities introduced in v4 (text-shadow, mask-*, container queries), (6) Lightning CSS engine, (7) zero-config content detection, (8) Oxide engine performance, (9) @utility for custom utilities, (10) @variant for custom variants. Provides: v4 install guide, @theme reference, v3-to-v4 migration checklist, new utility catalog, and @utility/@variant examples.
tools38
unity-shaders-rendering
Unity shaders, materials, and rendering pipelines (URP/HDRP/Built-in). PROACTIVELY activate for: (1) writing shaders in Shader Graph, HLSL, or ShaderLab, (2) URP and HDRP shader authoring, (3) custom render pipeline work (SRP), (4) lighting setup (baked vs realtime, lightmaps, Global Illumination), (5) post-processing stacks, (6) reflection probes and light probes, (7) custom render features and full-screen passes, (8) shader stripping and variant management, (9) compute shaders, (10) ray tracing in HDRP. Provides: Shader Graph templates, HLSL snippets, URP/HDRP differences, lighting setup recipes, render-feature examples, and shader-variant guidance.
testing38
unity-modding
Unity game modding architecture and mod-loading systems. PROACTIVELY activate for: (1) adding modding support to a Unity game, (2) Asset Bundles for mods, (3) Addressables for mod content, (4) Lua scripting via MoonSharp, (5) Harmony patching for runtime IL injection, (6) Steam Workshop integration, (7) mod manager UI, (8) plugin architecture for user-generated content (UGC), (9) custom content loading at runtime, (10) sandboxing and security for untrusted mods. Provides: AssetBundle vs Addressables tradeoffs, MoonSharp setup, Harmony patch patterns, Steam Workshop SDK integration, mod manager templates, and security guidelines.
tools38
windows-path-troubleshooting
Complete Windows file path troubleshooting knowledge for Claude Code on Git Bash and Windows environments. PROACTIVELY activate for: (1) file path errors on Windows, (2) backslash vs forward slash issues, (3) Edit/Write/Read tool failures, (4) MINGW path resolution, (5) cross-platform path conversion, (6) MSYS_NO_PATHCONV usage, (7) double-slash escape patterns (//c/foo), (8) UNC and long path limits, (9) WSL vs native Windows interop. Provides: path-conversion rules, troubleshooting flowchart, MSYS env-var recipes, double-slash escape patterns, and Windows file-operation best practices.
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terraform-tasks
Terraform task patterns — common workflows and pipeline steps. PROACTIVELY activate for: (1) terraform init/plan/apply/destroy workflows, (2) terraform fmt and validate in CI, (3) workspace management (terraform workspace), (4) remote state backends (Azure Storage, S3, Terraform Cloud), (5) state locking and DynamoDB locks, (6) terraform import for existing resources, (7) terraform refresh and drift detection, (8) -target and -replace use cases, (9) version pinning (required_version, required_providers), (10) tfvars file conventions for environments. Provides: workflow templates, backend configuration examples, state-locking setup, import recipes, and CI pipeline patterns.
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azure-sql-optimization
Azure SQL Database optimization and platform-specific features. PROACTIVELY activate for: (1) Azure SQL Database optimization, (2) DTU vs vCore selection and right-sizing, (3) automatic tuning (force last good plan, create/drop index), (4) Hyperscale tier and read replicas, (5) Serverless tier and auto-pause, (6) Azure SQL performance monitoring (Query Performance Insight, Intelligent Insights), (7) elastic pools, (8) Always Encrypted with secure enclaves, (9) Managed Instance vs Azure SQL DB tradeoffs, (10) failover groups and geo-replication. Provides: tier-selection matrix, automatic-tuning enablement steps, Hyperscale architecture overview, monitoring queries, and elastic pool sizing guidance.
development38
framework-recipes
This skill should be used when the user asks for implementation recipes, examples, migration guidance, troubleshooting, or best practices for specific TUI frameworks and libraries: Rust Ratatui/Crossterm/Termion/Cursive, Python Textual/Rich/prompt_toolkit/curses/Urwid/asciimatics, Go Bubble Tea/Lip Gloss/Bubbles/tview/tcell/termui/gocui, Node Ink/Blessed/Inquirer/Prompts, .NET Terminal.Gui/Spectre.Console, C/C++ ncurses/notcurses/FTXUI, Zig vaxis, and SwiftTUI. PROACTIVELY activate for: framework-specific app structure, cleanup, testing, widgets, migration, library comparison, framework troubleshooting, API gotchas, and porting between TUI frameworks. Provides: framework defaults, gotchas, testing hooks, and selection recipes.
tools38
tsql-functions
Complete T-SQL function reference for SQL Server and Azure SQL Database. PROACTIVELY activate for: (1) string functions (CONCAT_WS, STRING_SPLIT, STRING_AGG, TRIM, REPLACE, LEFT/RIGHT/SUBSTRING), (2) date/time functions (DATEADD, DATEDIFF, FORMAT, DATETRUNC, AT TIME ZONE), (3) math and conversion functions (CAST, CONVERT, TRY_CAST, ROUND, FLOOR, CEILING), (4) window/ranking functions (ROW_NUMBER, RANK, LEAD/LAG, FIRST_VALUE, LAST_VALUE, NTILE), (5) JSON functions (JSON_VALUE, JSON_QUERY, JSON_MODIFY, OPENJSON), (6) XML functions (FOR XML, .nodes, .value), (7) aggregate functions and GROUP BY extensions, (8) system and metadata functions (sys.* views, OBJECT_ID, OBJECT_NAME). Provides: function catalog grouped by category, version-availability matrix (SQL 2016+/2019+/2022+), and worked examples for each function family.
tools38
execution-plan-analysis
This skill should be used when the user asks to analyze SQL Server execution plans, .sqlplan files, ShowPlan XML, actual vs estimated plans, plan warnings, or operator costs. PROACTIVELY activate for: .sqlplan triage, ShowPlan XML inspection, high-cost operator ranking, scan vs seek review, residual predicate analysis, CONVERT_IMPLICIT warnings, bad row estimates, cardinality-estimation warnings, partition elimination verification, missing-index suggestions, unused-index warnings, spills, key lookups, sorts, hash joins, and plan-regression evidence gathering. Provides: plan triage workflow, operator-cost ranking heuristics, warning interpretation rubric, and rewrite/index recommendation gating.
testing38
tailwindcss-advanced-design-systems
Tailwind CSS advanced design systems with design tokens and @theme configuration. PROACTIVELY activate for: (1) building a design system on Tailwind v4, (2) @theme directive and CSS-first configuration, (3) custom color scales (50-950) and semantic tokens, (4) typography scales and fluid type with clamp(), (5) spacing tokens and 8pt grids, (6) shadow systems, radius tokens, motion tokens, (7) light/dark mode tokens via @theme, (8) Figma to Tailwind token sync, (9) design-token tooling (Style Dictionary, Tokens Studio), (10) per-brand theming. Provides: @theme configuration templates, semantic-token naming conventions, fluid-type calculator, design-token sync workflow, and multi-brand theming patterns.
tools38
tailwindcss-framework-integration
Tailwind CSS integration with React, Vue, Next.js, Svelte, Angular, and other frameworks. PROACTIVELY activate for: (1) Tailwind in React (Vite, CRA), (2) Tailwind in Next.js (App Router, Pages Router), (3) Tailwind in Vue 3 / Nuxt, (4) Tailwind in SvelteKit, (5) Tailwind in Angular, (6) Tailwind in Astro, (7) Tailwind in Remix / React Router 7, (8) PostCSS vs CLI vs Vite plugin setup, (9) class merging utilities (tailwind-merge) per framework, (10) SSR-safe class composition. Provides: per-framework setup steps, content config per framework, dark-mode setup, and class-merging recipes.
tools38
terminal-standards
This skill should be used when the user asks about ANSI, VT100, VT220, ECMA-48, ISO 6429, xterm control sequences, terminal capability detection, terminfo, environment variables, alternate screen protocols, SGR colors, OSC, CSI, DCS, terminal graphics, Windows virtual terminal processing, ConPTY, tmux/screen, SSH, or escape-sequence compatibility. PROACTIVELY activate for: escape sequences, terminal standards, capability negotiation, raw ANSI output, xterm protocols, alternate screen, color support, OSC 8 links, OSC 52 clipboard, Kitty/iTerm2 protocols, sixel, and cross-terminal fallback design. Provides: safe protocol rules, negotiation checklists, compatibility warnings, and reference tables.
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tui-testing-debugging
This skill should be used when the user asks to test, debug, snapshot, validate, reproduce, or automate terminal UIs, curses apps, raw ANSI output, PTY-driven interactions, virtual terminal emulators, ConPTY behavior, resize tests, keyboard/mouse/paste tests, or flaky terminal snapshots. PROACTIVELY activate for: TUI testing, snapshot tests, golden files, pty integration tests, pseudo-terminal automation, ConPTY, Pexpect, node-pty, vt emulators, Textual Pilot, Ratatui snapshots, Bubble Tea tests, terminal debug logs, and CI failures. Provides: layered test strategy, deterministic snapshot rules, PTY/ConPTY patterns, debugging playbooks, and flake prevention.
tools38
tailwindcss-responsive-darkmode
Tailwind CSS responsive design and dark mode patterns (2025-2026). PROACTIVELY activate for: (1) dark mode setup (class-based vs media-query, dark: variant), (2) toggling dark mode at runtime (data-theme, html.dark), (3) prefers-color-scheme handling, (4) per-component dark variants, (5) responsive design with dark mode (combining sm:dark:bg-*), (6) system / light / dark / high-contrast theming, (7) CSS color-scheme property, (8) avoiding flash of unstyled content (FOUC) in dark mode, (9) dark-mode color tokens via @theme. Provides: dark-mode toggle implementation, FOUC prevention pattern, color-token templates, and system-preference detection.
development38
vitest-3-features
Vitest 3 features and migration from Vitest 2 (2025). PROACTIVELY activate for: (1) Vitest 3 stable features, (2) workspace mode for monorepos, (3) test annotations and reporter API, (4) projects configuration, (5) browser mode in Vitest 3, (6) inline snapshots and toMatchInlineSnapshot, (7) typecheck mode (vitest typecheck), (8) watch mode UI improvements, (9) custom reporters, (10) migration from Jest and from Vitest 2.x. Provides: Vitest 3 changelog, workspace setup, projects config templates, browser-mode setup, and migration patterns from Jest and Vitest 2.
development38
windows-git-bash-testing
Windows and Git Bash testing compatibility for Vitest, Playwright, and MSW. PROACTIVELY activate for: (1) Vitest tests failing on Windows but passing on Linux, (2) Playwright on Windows with Git Bash quirks, (3) MSW intercept issues across shells, (4) path normalization in test fixtures, (5) browser binaries on Windows (Playwright install), (6) line-ending issues in test snapshots (CRLF vs LF), (7) cross-platform test scripts in package.json, (8) shell detection in pretest/posttest hooks, (9) CI-on-Windows debugging. Provides: cross-platform package.json scripts, snapshot normalization, Playwright Windows install, MSW shell-aware setup, and CI Windows debugging recipes.
development38
unity-networking
Unity multiplayer networking with NGO, Mirror, Photon, and Fish-Net. PROACTIVELY activate for: (1) building Unity multiplayer games, (2) Netcode for GameObjects (NGO) setup and patterns, (3) Mirror networking, (4) Photon PUN and Photon Fusion, (5) Fish-Net networking, (6) RPCs (ClientRpc, ServerRpc), (7) NetworkVariable and network synchronization, (8) lobby and matchmaking systems, (9) dedicated server hosting and Relay, (10) server-authoritative architecture, (11) lag compensation and prediction. Provides: networking-stack comparison, NGO templates, RPC patterns, NetworkVariable usage, lobby/matchmaking setup, and authoritative-server design.
tools38
tailwindcss-mobile-first
Mobile-first responsive design patterns with Tailwind CSS v4 (2025-2026). PROACTIVELY activate for: (1) mobile-first design with Tailwind breakpoints (sm:, md:, lg:, xl:, 2xl:), (2) responsive utility ordering (default = mobile, then breakpoints), (3) responsive typography (text-base sm:text-lg lg:text-xl), (4) responsive grids and flexbox, (5) hide/show across breakpoints (hidden md:block), (6) max-* breakpoints for desktop-down overrides, (7) container queries (@container) for component-level responsiveness, (8) safe-area insets and notch handling, (9) landscape vs portrait orientation, (10) touch vs hover (hover: with @media). Provides: breakpoint reference, mobile-first patterns, container-query examples, safe-area recipes, and touch/hover handling.
tools38
query-optimization
This skill should be used when the user asks to optimize slow T-SQL queries, fix SQL Server performance regressions, improve SARGability, rewrite joins, prove whether joins can be removed, compare temp-table data types, select rewrite templates, diagnose parameter sniffing, evaluate query hints, inspect statistics/cardinality estimates, reduce spills or memory grants, use Query Store, or interpret plan evidence. PROACTIVELY activate for slow queries, scans vs seeks, implicit conversions, bad joins, tempdb spills, query rewrites, partition predicate safety, and before recommending indexes or hints. Provides: evidence-first workflow, rewrite templates, parameter-sniffing playbook, and gating rules before recommending indexes or hints.
testing38
index-strategies
This skill should be used when the user asks to design, review, add, drop, consolidate, or tune SQL Server indexes. PROACTIVELY activate for clustered vs nonclustered design, covering indexes and INCLUDE columns, filtered indexes, columnstore indexes, missing-index DMV interpretation, duplicate or unused indexes, index maintenance, fragmentation, fill factor, compression, partition-aligned indexes, partition elimination proof, huge-table index constraints, online/resumable rebuilds, and index changes for slow T-SQL queries. Provides: index-design decision tree, workload-aware tradeoff checklist, DMV interpretation guidance, and maintenance/rebuild patterns.
development38
tailwindcss-advanced-components
Tailwind CSS advanced component patterns with CVA (class-variance-authority) and variant management. PROACTIVELY activate for: (1) building reusable component variants with CVA, (2) compound variants for complex states, (3) tailwind-merge for safe class composition, (4) clsx/cn utility for conditional classes, (5) Headless UI / Radix UI primitives styled with Tailwind, (6) shadcn/ui patterns, (7) component slot patterns (asChild), (8) polymorphic components, (9) prop-driven design tokens. Provides: CVA setup recipes, cn utility implementation, compound-variant patterns, shadcn/ui-style component templates, and asChild slot examples.
tools38
advanced-patterns
Advanced T-SQL patterns and techniques for SQL Server and Azure SQL. PROACTIVELY activate for: (1) writing CTEs and recursive queries, (2) APPLY operator (CROSS APPLY, OUTER APPLY), (3) MERGE statement and OUTPUT clause, (4) temporal tables (system-versioned), (5) In-Memory OLTP / memory-optimized tables, (6) advanced grouping (ROLLUP, CUBE, GROUPING SETS), (7) PIVOT and UNPIVOT, (8) ROW_NUMBER/RANK/DENSE_RANK with PARTITION BY, (9) hierarchies via recursive CTE or HierarchyId, (10) JSON_ARRAYAGG and STRING_AGG patterns. Provides: pattern catalog with examples for each technique, performance tradeoffs, and copy-pasteable templates for common advanced query shapes.
devops38
platform-compatibility
This skill should be used when the user asks about terminal emulator compatibility, operating-system differences, tmux/screen/Zellij, SSH/remote terminals, Windows ConPTY/classic console/Windows Terminal, Unix PTYs, macOS Terminal/iTerm2, Kitty/Alacritty/WezTerm/foot/GNOME Terminal/Konsole, terminal feature matrices, escape-sequence passthrough, latency, resize propagation, or graceful degradation. PROACTIVELY activate for: compatibility audits, emulator bugs, remote TUI performance, multiplexer passthrough. Provides: support matrices, platform caveats, and fallback rules.
testing38
input-handling
This skill should be used when the user asks about TUI input handling, raw mode, cbreak mode, terminal keyboard parsing, Esc vs Alt ambiguity, Ctrl-C, shortcuts, focus management, mouse events, scroll wheel, bracketed paste, paste safety, command palettes, forms, text editing, resize events, or keybinding design. PROACTIVELY activate for: raw mode, keyboard input, keybindings, mouse support, paste handling, focus model, terminal forms, text input, vim/emacs-style shortcuts, input conflicts, and cross-platform Windows/macOS/Linux input behavior. Provides: input architecture, shortcut rules, focus patterns, paste/mouse safety, and failure-mode triage.
data-ai38
rendering-layout-performance
This skill should be used when the user asks to implement, optimize, debug, or review TUI rendering, layout, repainting, flicker, frame buffers, diff rendering, terminal resize behavior, alternate screen lifecycle, scrollback, viewports, tables, dashboards, progress displays, or performance over SSH/tmux. PROACTIVELY activate for: rendering performance, layout bugs, flicker, alternate screen cleanup, resize handling, terminal dashboards, frame pacing, virtual DOM/cell buffers, double buffering, dirty regions, scroll regions, long-running tasks, and high-frequency updates. Provides: render-loop rules, layout patterns, performance budgets, lifecycle cleanup checks, and failure triage.
development38
tui-troubleshooting
Use this skill when a terminal UI freezes, hangs, shows a blank screen, corrupts terminal state, leaves raw mode stuck, stops responding to input, garbles output, breaks colors/cursor state, fails over SSH/tmux/screen, behaves differently on Windows/ConPTY, or needs deep root-cause analysis for subtle terminal failure modes. PROACTIVELY activate for: TUI freeze, terminal hang, blank TUI, raw mode stuck, stdin paused, no input events, alternate screen stuck, mouse mode stuck, bracketed paste markers, garbled terminal output, corrupted cursor/colors, partial renders, resize races, terminal state cleanup bugs, npm run tui froze, and debugging terminal gotchas. Provides: freeze/hang diagnosis, terminal recovery, startup and cleanup lifecycle checks, platform triage, and fix patterns.
development38
tui-visual-design
This skill should be used when the user asks to make a terminal UI beautiful, polished, readable, premium, modern, branded, or visually distinctive; improve visual hierarchy, spacing, typography, borders, color palettes, charts, progress displays, icons, prompts, forms, dashboards, or framework styling. PROACTIVELY activate for: TUI visual design, aesthetic polish, layout composition, terminal typography, color systems, box drawing, chart styling, animation, glyph/icon usage, prompt styling, design critique, visual anti-patterns, and framework-specific styling guidance. Provides: terminal design principles, polish checklists, visual recipes, and accessibility-aware aesthetics.
development38
tui-fundamentals
This skill should be used when the user asks to design, create, choose, modernize, or review a terminal UI, text user interface, curses app, dashboard, wizard, REPL shell, prompt flow, or CLI with interactive screens. PROACTIVELY activate for: TUI architecture, terminal-ui design, framework selection, curses vs modern framework, full-screen vs inline UI, app state modeling, widget composition, command palette, keyboard-first workflow, terminal dashboard, interactive CLI UX, and cross-platform terminal product planning. Provides: architecture patterns, framework decision rules, UX guardrails, scope boundaries, and production readiness checklists.
tools38
widgets-state-security-distribution
This skill should be used when the user asks about TUI widgets, forms, dialogs, tables, trees, charts, command palettes, split panes, scrollbars, validation, state management, Elm/MVU architecture, async message passing, configuration, packaging, distribution, terminal security, escape-sequence injection, paste sanitization, or production hardening. PROACTIVELY activate for: widget design, validation, virtual scrolling, config/keybinding files, XDG paths, packaging, secure terminal output, and release readiness. Provides: widget contracts, state patterns, config, security, and distribution checklists.
testing38
tailwindcss-advanced-layouts
Tailwind CSS advanced layout techniques including CSS Grid and Flexbox patterns. PROACTIVELY activate for: (1) building complex layouts with CSS Grid, (2) grid-template-areas via Tailwind v4 arbitrary values, (3) responsive grid (grid-cols-*, auto-fit, minmax), (4) Flexbox patterns (flex-1, flex-grow, gap), (5) sticky headers and footers, (6) holy grail layout, (7) masonry-style layouts, (8) container queries (@container) with Tailwind, (9) subgrid usage, (10) aspect-ratio utilities, (11) magazine-style multi-column layouts. Provides: Grid template recipes, container-query patterns, holy-grail templates, masonry alternatives, and aspect-ratio examples.
development38
unity-csharp-scripting
C# scripting in Unity for gameplay, behavior, and engine integration. PROACTIVELY activate for: (1) writing Unity C# scripts, (2) MonoBehaviour lifecycle (Awake/OnEnable/Start/Update/FixedUpdate/LateUpdate), (3) coroutines and async/await in Unity, (4) delegates, events, Action/Func patterns, (5) ScriptableObject creation and serialization, (6) GetComponent / TryGetComponent and component caching, (7) physics scripting (Rigidbody, raycast, collision/trigger callbacks), (8) animation scripting (Animator parameters, state machines, IK), (9) NavMesh and NavMeshAgent scripting, (10) input handling (Input System package), (11) custom serialization and SerializeField. Provides: lifecycle reference, coroutine vs async patterns, ScriptableObject templates, Rigidbody/collision recipes, NavMesh examples, and Input System setup.
testing38
unicode-color-accessibility
This skill should be used when the user asks about Unicode rendering, wcwidth, grapheme clusters, emoji, combining marks, East Asian width, BiDi text, box drawing, Nerd Fonts, color themes, truecolor, 256-color fallback, NO_COLOR, contrast, accessibility, screen-reader behavior, keyboard access, reduced motion, or non-TUI fallbacks. PROACTIVELY activate for: Unicode width bugs, misaligned tables, emoji layout, ANSI-aware string measurement, color accessibility, screen-reader friendly CLI design, plain output mode, ASCII fallback, and terminal theme support. Provides: text measurement rules, color/fallback policy, accessibility checklist, and failure-mode fixes.
tools38
viral-video-platform-algorithms
Deep understanding of TikTok, YouTube, Instagram, and Facebook algorithms for 2025-2026. PROACTIVELY activate for: (1) Algorithm optimization, (2) Platform-specific strategy, (3) Content distribution understanding, (4) Engagement signal optimization, (5) Cold start strategies, (6) Trending and discovery, (7) Hashtag and SEO strategy, (8) Posting time optimization, (9) Cross-platform differences. Provides: Algorithm signal breakdowns, platform comparisons, optimization strategies, posting schedules, hashtag strategies, and discovery mechanisms.
development38
tailwindcss-plugins
Tailwind CSS plugins — official plugins and custom plugin development. PROACTIVELY activate for: (1) @tailwindcss/typography (prose), (2) @tailwindcss/forms, (3) @tailwindcss/aspect-ratio (now built-in), (4) @tailwindcss/container-queries, (5) writing custom plugins via plugin() API, (6) addUtilities, addComponents, addVariant from plugin API, (7) third-party plugins (tailwindcss-animate, tailwind-merge), (8) in-CSS @utility and @variant in v4 (often replaces JS plugins), (9) plugin migration from v3 JS API to v4 CSS API. Provides: official plugin install/setup, plugin API reference, custom plugin examples, and v3-to-v4 plugin migration guide.
tools38
unity-ui-development
Unity UI development with UGUI and UI Toolkit. PROACTIVELY activate for: (1) building Unity user interfaces, (2) UGUI (Canvas, RectTransform, anchors), (3) UI Toolkit (USS, UXML, VisualElement), (4) EventSystem and input handling, (5) common UI components (buttons, scroll views, dropdowns), (6) inventory UIs, HUDs, health bars, menu systems, (7) TextMeshPro setup and rich text, (8) responsive UI (anchors, layout groups), (9) runtime UI generation, (10) world-space canvases for in-game UI. Provides: UGUI vs UI Toolkit comparison, RectTransform patterns, USS/UXML examples, layout group recipes, and TextMeshPro templates.
tools38
viral-video-hooks-retention
Master hook creation and audience retention for viral video success. PROACTIVELY activate for: (1) Video hook optimization, (2) Opening second strategies, (3) Audience retention improvement, (4) Attention capture techniques, (5) Psychological triggers, (6) Pattern interrupts, (7) Watch time optimization, (8) Drop-off prevention, (9) Engagement psychology. Provides: Hook formulas, psychological trigger frameworks, retention benchmarks, pattern interrupt techniques, and actionable retention improvement strategies.
development38
viral-video-long-form
Complete YouTube long-form video optimization for maximum watch time, SEO, and viral potential. PROACTIVELY activate for: (1) YouTube video strategy, (2) Long-form content planning, (3) Watch time optimization, (4) YouTube SEO, (5) Thumbnail design strategy, (6) Audience retention techniques, (7) YouTube monetization, (8) Connected TV optimization, (9) YouTube algorithm understanding. Provides: Video length optimization, thumbnail best practices, SEO strategies, retention techniques, monetization guidelines, and analytics interpretation.
development38
viral-video-short-form
Complete short-form video optimization for TikTok, Instagram Reels, YouTube Shorts, and Facebook Reels. PROACTIVELY activate for: (1) TikTok content strategy, (2) Instagram Reels optimization, (3) YouTube Shorts creation, (4) Facebook Reels strategy, (5) Short-form hook creation, (6) Vertical video best practices, (7) Trending audio selection, (8) Loop optimization, (9) Quick engagement tactics. Provides: Platform-specific length recommendations, algorithm insights, hook formulas, trending strategies, caption techniques, hashtag optimization, and posting schedules.
development38
ml-training
This skill should be used when the user asks to train, debug, scale, or improve ML models. PROACTIVELY activate for: (1) PyTorch, TensorFlow/Keras, JAX, Flax, Hugging Face Trainer/Accelerate training loops, (2) distributed training, DDP/FSDP/DeepSpeed, TPU/GPU setup, (3) mixed precision AMP/bf16, gradient accumulation, checkpointing, seeding, (4) overfitting, imbalance, loss functions, regularization, LR schedules, warmup, (5) memory optimization, gradient checkpointing, offloading, quantization-aware training. Provides: reproducible training best practices across deep learning and classical ML.
development38
notebook-lifecycle
Kaggle notebook/kernel lifecycle operations. PROACTIVELY activate for: (1) creating Kaggle notebooks or kernels, (2) `kaggle kernels init`, (3) pushing or running notebooks with `kaggle kernels push`, (4) pulling notebooks with metadata, (5) checking kernel status, files, logs, or outputs, (6) downloading output artifacts with file patterns, (7) deleting kernels, (8) Python API kernel operations, (9) auth for notebook CLI workflows. Provides: safe CLI/Python lifecycle commands, run monitoring, output retrieval, destructive-action guardrails.
tools38
kaggle-environment
Kaggle runtime environment, paths, accelerators, and reproducibility. PROACTIVELY activate for: (1) `/kaggle/input` path errors, (2) `/kaggle/working` output placement, (3) local vs Kaggle notebook behavior, (4) GPU/TPU/accelerator selection, (5) internet enablement, (6) package/version pinning, (7) memory cleanup and timeout issues, (8) DEBUG flags for fast runs, (9) Kaggle Secrets usage guidance, (10) quota-consuming runtime settings. Provides: path conventions, runtime checklist, accelerator IDs, reproducibility patterns, and resource safeguards.
development38
kernel-metadata
Kaggle `kernel-metadata.json` setup and repair. PROACTIVELY activate for: (1) creating kernel-metadata.json, (2) fixing metadata validation errors, (3) setting `id`, `title`, `code_file`, language, or kernel type, (4) configuring private/public, internet, GPU, or accelerator behavior, (5) attaching dataset_sources, competition_sources, kernel_sources, or model_sources, (6) preparing metadata before `kaggle kernels push`, (7) converting script/notebook metadata. Provides: schema checklist, valid fields, source arrays, defaults, and push-readiness review.
development38
ml-hyperparameter-tuning
This skill should be used when the user asks to tune hyperparameters, run sweeps, optimize search spaces, or use AutoML. PROACTIVELY activate for: (1) Optuna, Ray Tune, FLAML, AutoGluon, Hyperopt, Nevergrad, KerasTuner, W&B sweeps, (2) grid search, random search, Bayesian optimization, TPE, Gaussian processes, evolutionary search, (3) ASHA, Hyperband, successive halving, multi-fidelity optimization, population-based training, (4) learning-rate finder, batch-size search, early stopping, pruning, (5) reproducible sweep design and experiment analysis. Provides: budget-aware hyperparameter search strategy.
testing38
ml-data-pipeline
This skill should be used when the user asks to ingest, clean, validate, transform, version, monitor, or serve ML data and features. PROACTIVELY activate for: (1) data ingestion, preprocessing, feature engineering, leakage prevention, train/serving skew, (2) Spark, Dask, Polars, pandas, Ray Data, streaming pipelines, (3) Great Expectations, TFDV, Deequ, data quality and validation, (4) DVC, lakehouse tables, dataset versioning, lineage, reproducibility, (5) Feast, Tecton, Hopsworks feature stores, point-in-time joins, online/offline features. Provides: scalable, reproducible, leakage-safe ML data pipeline design.
testing38
ml-cloud-deployment
This skill should be used when the user asks to deploy, scale, or cost-optimize ML workloads on cloud platforms. PROACTIVELY activate for: (1) AWS SageMaker Studio, Training, Processing, Pipelines, Endpoints, Model Monitor, Feature Store, Clarify, Ground Truth, EC2 GPUs, EKS, Lambda, Inferentia, Trainium, (2) GCP Vertex AI Training, Pipelines, Endpoints, Feature Store, Model Monitoring, AutoML, Matching Engine, TPU, GKE, Cloud Run, (3) Azure ML workspaces, pipelines, managed endpoints, AutoML, Responsible ML, AKS/ACI, (4) Databricks, Modal, Replicate, RunPod, Lambda Labs, Anyscale. Provides: cloud ML architecture, autoscaling, hardware, security, and cost guidance.
testing38
datasets-models-sources
Kaggle datasets, models, sources, and kagglehub workflows. PROACTIVELY activate for: (1) downloading datasets with kagglehub, (2) uploading datasets, (3) downloading or uploading Kaggle models, (4) competition_download, (5) notebook_output_download, (6) choosing Kaggle CLI vs kagglehub, (7) attaching dataset_sources, competition_sources, kernel_sources, or model_sources, (8) model artifact transfer, (9) source dependency cleanup, (10) kagglehub limitations for notebooks. Provides: dataset/model transfer patterns, source attachment guidance, tool selection, and limitation checks.
tools38
ml-azureml-adf-automation
This skill should be used when the user asks to automate Azure ML and Azure Data Factory production workflows. PROACTIVELY activate for: (1) Azure ML code asset registration, azure-ai-ml SDK, AML code versions, `result.version`, requested-vs-actual versions, (2) ADF to Azure ML orchestration, ADF WebActivity, managed identity blob reads, `connectVia`, managed VNet IR, (3) code asset version pointer blobs, latest.json contracts, training/scoring code version propagation, (4) private storage firewalls, Microsoft-hosted CI agents, temporary network rules, storage data-plane smoke tests, (5) marshmallow<4 pinning, AML SDK import failures, runtime validation for Azure ML infrastructure. Provides: operationally safe Azure ML + ADF automation patterns.
tools38
ml-fine-tuning
This skill should be used when the user asks to adapt pretrained, foundation, language, vision, multimodal, or embedding models. PROACTIVELY activate for: (1) transfer learning, full fine-tuning, frozen backbones, adapters, LoRA, QLoRA, AdaLoRA, PEFT, (2) Hugging Face Transformers, Diffusers, Accelerate, TRL, RLHF, DPO, preference tuning, alignment, (3) dataset preparation, instruction tuning, chat templates, tokenization, packing, catastrophic forgetting, (4) RAG, vector databases, embedding optimization, reranking, (5) multimodal and edge fine-tuning. Provides: safe, efficient fine-tuning and adaptation guidance.
testing38
markdown-style
This skill should be used to review, lint, or fix Markdown formatting in READMEs, ADRs, runbooks, how-tos, design docs, or any `.md` file. PROACTIVELY activate on "review this markdown", "lint this doc", "lint this README", "style-check this doc", "fix the formatting", "review my README", "is this markdown valid?", "fix the headings", "fix the list indentation", "ATX vs setext", "should I use a TOC?", "markdown style guide", or "Markdown linter." Provides: two-pass syntax/style review with line-referenced findings.
development38
ml-mlops
This skill should be used when the user asks to productionize, track, version, govern, monitor, or automate ML systems. PROACTIVELY activate for: (1) MLflow, Weights & Biases, Neptune, Comet, ClearML experiment tracking, (2) model registry, model versioning, artifact lineage, reproducibility, (3) Kubeflow, SageMaker Pipelines, Vertex AI Pipelines, Azure ML pipelines, Databricks workflows, (4) CI/CD, continuous training/evaluation, A/B tests, canary/shadow deployments, (5) drift detection, model monitoring, data validation, responsible AI governance. Provides: end-to-end MLOps architecture and operational safeguards.
development38
competition-workflows
Kaggle competition notebook workflows and submissions. PROACTIVELY activate for: (1) submitting notebook outputs to competitions, (2) `kaggle competitions submit -k`, (3) downloading competition data, (4) validating submission.csv format, (5) leakage review, (6) cross-validation split design, (7) public leaderboard overfitting concerns, (8) competition rule compliance, (9) reproducible top-to-bottom notebook execution, (10) fold-aware preprocessing for ML pipelines. Provides: submission commands, validation checklist, leakage controls, and competition-ready notebook guidance.
development38
ml-inference-optimization
This skill should be used when the user asks to optimize, export, serve, compress, or accelerate ML inference. PROACTIVELY activate for: (1) latency, throughput, p95/p99, batching, concurrency, KV cache, memory, or cost issues, (2) quantization INT8/INT4, GPTQ, AWQ, bitsandbytes, pruning, sparsity, distillation, (3) ONNX export, ONNX Runtime, TensorRT, TorchScript, torch.compile, XLA, OpenVINO, Core ML, TFLite, (4) Triton, TorchServe, TF Serving, BentoML, Seldon, KServe configuration, (5) edge deployment, CPU/GPU/TPU/Inferentia serving. Provides: hardware-aware inference optimization and safe benchmarking.
development38
viral-video-hook-templates
10 proven viral video hook templates with FFmpeg implementations for maximum first-3-second retention. PROACTIVELY activate for: (1) Video hook creation, (2) Opening sequence optimization, (3) Attention-grabbing techniques, (4) Pattern interrupt effects, (5) Curiosity gap implementation, (6) Text overlay hooks, (7) Visual hook effects, (8) Audio hook strategies, (9) Retention optimization, (10) Scroll-stopping content. Provides: Research-backed hook formulas, FFmpeg filter implementations, psychological triggers, platform-specific hooks, A/B testing workflows, and real-world examples with measurable impact.
testing38
nextjs-data-fetching
Complete Next.js data fetching system (Next.js 15.5/16). PROACTIVELY activate for: (1) Server Component data fetching, (2) Parallel and sequential fetching, (3) Streaming with Suspense, (4) Route Handlers (API routes), (5) Client-side fetching with SWR/TanStack Query, (6) generateStaticParams for static generation, (7) Revalidation strategies, (8) Error handling for data, (9) Async params/searchParams (Next.js 16), (10) Cache Components with 'use cache'. Provides: Fetch patterns, caching options, streaming UI, API route handlers, client fetching setup, async params pattern. Ensures optimal data loading with proper caching and error handling.
tools38
modal-storage-knowledge
This skill should be used when the user asks to work with Modal.com persistence or shared state. PROACTIVELY activate for: Modal Volumes, vol.commit, Dict, Queue, CloudBucketMount, S3 or GCS mounts, secret-backed storage credentials, model cache persistence, dataset staging, shared queues, distributed state, volume consistency, and storage troubleshooting. Provides: storage primitive selection matrix, commit/consistency patterns, mount configuration recipes, and troubleshooting checklists.
testing38
nextjs-modal-integration
Modal.com integration patterns for Next.js applications. PROACTIVELY activate for: (1) Next.js + Modal backend setup, (2) AI inference from Next.js (LLMs, image generation), (3) Video/audio processing backends, (4) Heavy compute offloading from Vercel, (5) GPU workloads for Next.js apps, (6) Webhook integration between Next.js and Modal, (7) File upload processing, (8) Background job processing, (9) Serverless AI API endpoints, (10) Next.js + Modal authentication patterns. Provides: Architecture patterns, API route integration, webhook handling, file upload workflows, CORS configuration, warm container patterns, streaming responses, and production-ready examples.
development38
nextjs-server-actions
Complete Next.js Server Actions system (Next.js 15.5/16). PROACTIVELY activate for: (1) Defining Server Actions with 'use server', (2) Form handling with actions, (3) useActionState for form state, (4) useFormStatus for pending states, (5) Optimistic updates with useOptimistic, (6) Validation with Zod and next-safe-action, (7) Authorization in actions, (8) File uploads, (9) Revalidation after mutations, (10) Type-safe actions with next-safe-action library. Provides: Action patterns, form integration, validation, optimistic UI, error handling, next-safe-action integration. Ensures secure server mutations with proper validation and UX.
development38
hook-development
Canonical guide to authoring Claude Code hooks, both prompt-based and command-based. PROACTIVELY activate for: (1) creating a hook, (2) adding PreToolUse or PostToolUse hooks, (3) validating tool use, (4) implementing prompt-based hooks, (5) blocking dangerous commands, (6) event-driven automation, (7) configuring hooks.json, (8) using ${CLAUDE_PLUGIN_ROOT}, (9) hook matchers and filtering, (10) debugging hooks that do not fire. Provides: hooks.json schema, event reference, security guidance, and examples.
tools38
dax-mastery
DAX (Data Analysis Expressions) mastery for Power BI semantic models. PROACTIVELY activate for: (1) writing DAX measures or calculated columns, (2) CALCULATE, FILTER, ALL, REMOVEFILTERS context-modification functions, (3) understanding filter context vs row context vs context transition, (4) time intelligence (SAMEPERIODLASTYEAR, DATEADD, YTD/MTD, TOTALYTD, DATESBETWEEN), (5) iterators (SUMX, AVERAGEX, FILTER), (6) variables (VAR/RETURN) and DAX optimization, (7) calculation groups, field parameters, and visual calculations, (8) WINDOW/INDEX/OFFSET/ORDERBY/PARTITIONBY/MATCHBY (window functions), (9) DAX user-defined functions (UDF), (10) DAX patterns for ratios, running totals, ranking. Provides: measure templates, time-intelligence patterns, optimization techniques (variables, FILTER vs CALCULATETABLE), context-transition explainers, and reference for window functions and calculation groups.
data-ai38
triggering-reliability
Catalog of common mistakes that break Claude Code agent and skill triggering, plus marketplace validation rules. PROACTIVELY activate for: (1) plugins installed but never trigger, (2) agents failing to route, (3) skills not appearing in discovery, (4) pre-release triggering audit, (5) migrating deprecated agent true flag, (6) zero-frontmatter SKILL.md files, (7) boilerplate in YAML descriptions, (8) abstract descriptions, (9) missing example blocks on fat agents above 2,500 words, (10) missing PROACTIVELY or Provides sections, (11) running validate_plugins.py, (12) auditing a plugin without contradicting earlier intentional refactors. Provides: anti-patterns, fixes, before/after examples, audit checklist, and validator rule index.
tools38
fabric-integration
Microsoft Fabric integration with Power BI semantic models. PROACTIVELY activate for: (1) Microsoft Fabric platform tasks, (2) Direct Lake mode and OneLake connectivity, (3) Fabric lakehouse, warehouse, KQL Database, Eventstream, Data Activator, (4) Dataflow Gen2 ETL, (5) Fabric notebooks (PySpark, Spark SQL, semantic-link), (6) Fabric workspace and capacity (F-SKU) management, (7) delta tables and V-Order optimization, (8) medallion architecture (bronze/silver/gold), (9) Semantic Link / sempy / semantic-link-labs Python workflows, (10) Direct Lake fallback rules and mixed mode. Provides: Direct Lake setup, Fabric capacity sizing, lakehouse-to-semantic-model patterns, sempy/semantic-link-labs recipes, and end-to-end medallion architecture templates.
development38
react-fundamentals-19
Complete React 19 fundamentals system. PROACTIVELY activate for: (1) React 19 new features and changes, (2) Server vs Client Components, (3) Server Actions setup, (4) use() hook usage, (5) JSX and component basics, (6) Props and state patterns, (7) Suspense and Error Boundaries, (8) Fragments and Portals. Provides: React 19 syntax, Server Component patterns, async data handling, component composition, best practices. Ensures modern React 19 patterns with proper server/client architecture.
tools38
python-modal
Modern Python patterns for Modal.com serverless platform. PROACTIVELY activate for: (1) Modal function deployment, (2) Type-safe Modal with Pydantic, (3) Async patterns in Modal, (4) GPU workloads (ML inference, training), (5) FastAPI web endpoints on Modal, (6) Scheduled tasks and cron jobs, (7) Modal Volumes and storage, (8) Testing Modal functions with pytest, (9) Modal classes and lifecycle methods, (10) Parallel processing with map/starmap. Provides: Type hints patterns, Pydantic integration, async/await patterns, pytest testing, FastAPI integration, scheduled tasks, Volume usage, cost optimization, and production-ready examples following Python 3.11+ best practices.
development38
python-package-management
Complete Python package management system. PROACTIVELY activate for: (1) uv package manager (10-100x faster), (2) pyproject.toml configuration, (3) Virtual environment setup, (4) Dependency management with uv.lock, (5) Ruff linting and formatting, (6) src layout project structure, (7) Publishing to PyPI, (8) pip and requirements.txt. Provides: uv commands, pyproject.toml templates, ruff config, pre-commit setup. Ensures modern Python project setup with fast tooling.
tools38
python-opencv
Complete OpenCV computer vision system for Python. PROACTIVELY activate for: (1) Image loading with cv2.imread (BGR format gotcha), (2) Video capture with cv2.VideoCapture, (3) Color space conversion (BGR to RGB, HSV, grayscale), (4) Image filtering (GaussianBlur, medianBlur, bilateralFilter), (5) Edge detection (Canny), (6) Contour detection with cv2.findContours, (7) Image resizing with interpolation methods, (8) Template matching, (9) Feature detection (SIFT, ORB, AKAZE), (10) Drawing functions (rectangle, circle, text), (11) Video writing with cv2.VideoWriter, (12) Morphological operations, (13) Deep learning with cv2.dnn module, (14) GPU acceleration with cv2.cuda, (15) Coordinate system (x,y vs row,col) gotchas. Provides: Image processing patterns, video capture/writing, memory management, performance optimization, Jupyter notebook workarounds. Ensures correct BGR handling and memory-safe OpenCV usage.
development38
data-cloud-2025
Salesforce Data Cloud integration patterns and architecture (2025). PROACTIVELY activate for: (1) Data Cloud setup and ingestion, (2) Data Streams (cloud, mobile, web SDK, ingestion API), (3) data model objects (DMO) and source objects (DSO), (4) identity resolution and unified profiles, (5) calculated insights and segmentation, (6) activations to Marketing Cloud, advertising platforms, Salesforce CRM, (7) Bring Your Own Lake (BYOL) with Snowflake, BigQuery, Databricks, (8) zero-copy data sharing, (9) Data Cloud + Agentforce grounding, (10) consent management and compliance. Provides: data-stream selection matrix, identity resolution rules, segmentation patterns, BYOL configuration, and activation playbook.
development38
ssdt-cicd-best-practices-2025
Modern SSDT CI/CD best practices for SQL Server database development (2025). PROACTIVELY activate for: (1) SSDT CI/CD pipeline design, (2) state-based deployment with DACPACs, (3) tSQLt unit testing integration, (4) database build validation in CI, (5) drift detection via SqlPackage Extract + Compare, (6) Azure DevOps and GitHub Actions templates for SSDT, (7) publish profile management per environment, (8) pre/post deploy scripts with idempotent MERGE, (9) DACPAC versioning and artifacts, (10) handling reference databases. Provides: end-to-end pipeline YAML for ADO and GHA, tSQLt setup, drift-detection scripts, and a publish-profile pattern for dev/test/prod.
development38
stripe-webhook-idempotency
Server-side Stripe webhook idempotency patterns. PROACTIVELY activate for: (1) Stripe webhook handler design, (2) Transactional dedup via stripe_processed_events, (3) credit_transactions.idempotency_key UNIQUE partial indexes, (4) Idempotency-Key header priority (header > body > server UUID), (5) Idempotency key format/charset/length validation at the handler edge, (6) FOR UPDATE row locking when a UPDATE depends on a prior SELECT, (7) Webhook signature verification (stripe.webhooks.constructEventAsync, tolerance, raw-body reading), (8) Retry-safe endpoints with randomUUID fallback, (9) Durable checkpoint row ordering (checkpoint FIRST, mutation SECOND). Provides: complete webhook handler skeleton, Idempotency-Key validator, dedup SQL, FOR UPDATE pattern, signature verification example.
development38
doc-diagnostic
This skill should be used when deciding whether a doc should exist, where it belongs, whether something is really an ADR, or whether an architectural decision is missing from the record. PROACTIVELY activate on "should this be an ADR?", "where should I document X?", "is this architecturally significant?", "ADR vs RFC vs design doc vs runbook", "Diátaxis", "audit docs folder", "clean up the decision log", "doc drift", "doc governance", "ADR template selection", "Nygard vs MADR vs Y-statement", "missing ADR", "missing decision record", "undocumented architecture", "implicit decision", "historical documentation clutter", "inherited repo", "large legacy repo", "architecture archaeology", "code archaeology", "scan for decision records", "find decisions not captured in ADRs." Provides: doc placement diagnostic, alternatives catalog, ADR canon, folder audit procedure, and BACKFILL-ADR candidate detection.
development38
adr-drafting
This skill should be used when a decision is ready to become an ADR and the user wants co-thinking rather than template filler. PROACTIVELY activate on "draft the ADR", "write up the decision", "co-think this ADR", "challenge my reasoning", "ADR for X", "MADR for X", "Y-statement for X", "we decided to use X", "co-draft", "ADR drafting", or "scripted push-back." Provides: seven-phase ADR drafting, one-question turns, failure-mode pressure test, and self-critique against the ADR-is-NOT checklist.
testing38
repo-health
This skill should be used when bootstrapping, auditing, or reviewing the community-health and repository-cornerstone files in a code repository: README, LICENSE, CONTRIBUTING, CODE_OF_CONDUCT, SECURITY, SUPPORT, issue / PR templates, CODEOWNERS, FUNDING, CITATION, and REUSE / SPDX metadata. PROACTIVELY activate on "set up new repo docs", "community health files", "what should my README contain", "do I need a code of conduct", "audit repo bootstrap docs", "repository documentation cornerstones", "pick a license", "CONTRIBUTING.md", "SECURITY.md", "vulnerability reporting", "SUPPORT.md", "CODEOWNERS", "issue templates", "PR templates", "CITATION.cff", "REUSE", "SPDX headers", "Standard Readme", "Contributor Covenant". Provides: four-question diagnostic per cornerstone, Standard Readme structure, license routing (no picking), CONTRIBUTING / CODE_OF_CONDUCT / SECURITY / SUPPORT canons, template files, and REUSE 3.3 / SPDX routing.
development38
git-2-49-features
Git 2.49 specific features and performance improvements. PROACTIVELY activate for: (1) git-backfill command (new in 2.49) for partial clones, (2) path-walk API improvements, (3) zlib-ng integration for faster compression, (4) reftables backend stabilization, (5) revision-walk performance, (6) bundle URI improvements, (7) sparse-checkout enhancements in 2.49, (8) git maintenance defaults in 2.49, (9) credential helper updates. Provides: 2.49 changelog summary, git-backfill recipes, performance comparison vs 2.48, and migration notes for users upgrading from 2.40+.
tools38
git-master
Complete Git expertise system for ALL git operations. PROACTIVELY activate for: (1) ANY Git task (basic/advanced/dangerous), (2) Repository management, (3) Branch strategies and workflows, (4) Conflict resolution, (5) History rewriting/recovery, (6) Platform-specific operations (GitHub/Azure DevOps/Bitbucket), (7) Advanced commands (rebase/cherry-pick/filter-repo). Provides: complete Git command reference, safety guardrails for destructive operations, platform best practices, workflow strategies, reflog recovery techniques, and expert guidance for even the most risky operations. Always asks user preference for automatic commits vs manual control.
development38
adr-critique
This skill should be used to audit an existing or legacy ADR, especially one imported, LLM-generated, stale, or never self-critiqued. PROACTIVELY activate on "review this ADR", "critique this ADR", "audit our decision log", "is this ADR any good?", "fix this old ADR", "rewrite this legacy ADR", "ADR cleanup", "ADR quality sweep", "tighten this ADR", "score these ADRs", or "this ADR is too long." Provides: line-by-line ADR critique, filler/hedging/drift detection, and per-line approval workflow.
development38
viral-video-platform-specs
Complete platform upload specifications for viral video creation across TikTok, YouTube Shorts, Instagram Reels, Facebook Reels, Snapchat Spotlight, and Twitter/X. PROACTIVELY activate for: (1) Platform-specific video encoding, (2) Upload requirements lookup, (3) Multi-platform export, (4) File size optimization, (5) Aspect ratio conversion, (6) Duration limits, (7) Audio requirements, (8) Caption/subtitle specs, (9) Thumbnail requirements, (10) Quality vs compatibility trade-offs. Provides: Comprehensive spec tables, FFmpeg presets per platform, optimal encoding settings, file size calculators, batch export workflows, and 2025-2026 platform-specific algorithm insights.
development38
git-2025-features
Git 2.49+ features and modern Git workflows (2025-2026). PROACTIVELY activate for: (1) Git 2.49+ features (reftables, sparse-checkout, partial clone, worktrees), (2) git-backfill for partial clones, (3) reftables migration (file backend to reftable backend), (4) sparse-checkout for monorepos, (5) git worktrees for parallel development, (6) partial clone (--filter=blob:none), (7) commit graph and bitmap optimizations, (8) trunk-based development workflows, (9) Git LFS, (10) modern alternatives to legacy commands. Provides: feature reference, version-detection snippets, sparse-checkout configuration, worktree workflow patterns, and migration guidance from older Git versions.
development38
git-security-2025
Git security best practices for 2025-2026 (signed commits, zero-trust, secret scanning). PROACTIVELY activate for: (1) configuring signed commits (GPG, SSH, S/MIME), (2) verifying commit signatures, (3) zero-trust Git workflows, (4) secret scanning (GitHub Advanced Security, gitleaks, trufflehog), (5) preventing secret leaks via pre-commit hooks, (6) protected branches and required reviewers, (7) CODEOWNERS for sensitive paths, (8) Sigstore-style attestations, (9) detecting and remediating leaked credentials, (10) supply-chain security (provenance, SBOM, SLSA). Provides: signed commit setup, secret-scanning integration, pre-commit hook templates, branch protection patterns, and incident-response checklist for credential exposure.
development38
modal-web-scheduling-knowledge
This skill should be used when the user asks to expose Modal.com functions as APIs or schedule Modal jobs. PROACTIVELY activate for: FastAPI endpoints, @modal.fastapi_endpoint, @modal.asgi_app, @modal.wsgi_app, webhooks, WebSockets, custom domains, endpoint timeouts, modal.Cron, modal.Period, scheduled ETL, cron timezones, deploy-vs-run schedule behavior, and endpoint debugging. Provides: endpoint decorator selection guide, scheduling patterns, timezone/cron rules, and debugging recipes for endpoints and schedules.
development38
github-ai-features-2025
GitHub AI-powered security and automation features (2025-2026). PROACTIVELY activate for: (1) GitHub Copilot in PRs (Copilot code review, Copilot autofix), (2) GitHub Advanced Security (CodeQL, secret scanning, dependency review), (3) Copilot Workspace, (4) GitHub Models (gh models eval, prompt evaluations), (5) GitHub Copilot CLI 2.x, (6) AI-assisted issue triage, (7) Copilot extensions and skillsets, (8) Copilot Enterprise context (knowledge bases), (9) automated dependency updates (Dependabot AI grouping), (10) Spark for app generation. Provides: feature catalog, Copilot CLI command reference, gh models eval examples, GHAS configuration, and Copilot Workspace usage.
tools38
modal-compute-knowledge
Modal.com serverless compute, GPU, autoscaling, batching, and deployment knowledge. PROACTIVELY activate for: (1) Modal app/function definitions (modal.App, @app.function, @app.cls), (2) running ML/AI workloads serverlessly, (3) GPU configuration (T4, L4, A10G, A100, H100, H200), (4) Modal volumes and shared state, (5) Modal Image builder (apt, pip, run_commands), (6) Modal secrets and environment management, (7) web endpoints (FastAPI, asgi_app, wsgi_app), (8) cron schedules and continuous deployments, (9) Modal sandboxes, (10) cost optimization on Modal (autoscaling, spot, idle timeout), (11) Modal CLI (modal deploy, modal run, modal serve). Provides: app templates, GPU sizing matrix, Image builder recipes, secret patterns, web endpoint examples, and cost-optimization guidance.
tools38
nextjs-app-router
Complete Next.js App Router fundamentals system (Next.js 15.5/16). PROACTIVELY activate for: (1) App directory structure and conventions, (2) Layouts and templates, (3) Loading and error boundaries, (4) Route groups and organization, (5) Parallel routes setup, (6) Metadata and SEO, (7) Server vs Client Components, (8) Navigation and View Transitions, (9) Async params pattern (Next.js 16 breaking change). Provides: File conventions, layout nesting, streaming UI, error handling, metadata templates, View Transitions API. Ensures correct App Router architecture with proper component boundaries.
tools38
nextjs-middleware
Complete Next.js Middleware system (Next.js 15.5/16). PROACTIVELY activate for: (1) Creating middleware.ts (Edge) or proxy.ts (Node.js), (2) Matcher configuration, (3) Authentication protection, (4) Role-based access control, (5) Redirects and rewrites, (6) Internationalization (i18n), (7) Security headers (CSP, CORS), (8) Geolocation routing, (9) Bot detection, (10) Rate limiting patterns, (11) Node.js Middleware with proxy.ts (Next.js 16). Provides: Edge middleware patterns, Node.js proxy patterns, matcher syntax, auth guards, header manipulation, cookie handling, database access in proxy.ts. Ensures optimized request handling with proper security.
testing38
nextjs-deployment
Complete Next.js deployment system (Next.js 15.5/16). PROACTIVELY activate for: (1) Vercel deployment and configuration, (2) Self-hosted Node.js deployment, (3) Docker containerization, (4) Static export with output:'export', (5) Edge Runtime configuration, (6) Environment variables, (7) CI/CD with GitHub Actions, (8) Health checks and monitoring, (9) Production optimization, (10) Turbopack production builds (Next.js 16). Provides: Dockerfile, docker-compose, PM2 config, vercel.json, GitHub Actions workflows, Turbopack config. Ensures production-ready deployment with proper configuration.
development38
nextjs-routing-advanced
Complete Next.js advanced routing system. PROACTIVELY activate for: (1) Dynamic routes with [slug], (2) Catch-all routes [...slug], (3) Route groups for organization, (4) Parallel routes with @slot, (5) Intercepting routes for modals, (6) Private folders with _prefix, (7) Route Handlers (API), (8) Search params handling, (9) Programmatic navigation. Provides: Dynamic routing patterns, parallel route slots, modal interception, API handlers. Ensures flexible routing with proper URL structure.
development38
programmatic-development
Programmatic Power BI development with PBIR, PBIP, TMDL, TOM, and fabric-cicd. PROACTIVELY activate for: (1) creating Power BI reports programmatically (PBIR enhanced report format), (2) PBIR vs PBIR-Legacy selection (2026 default), (3) PBIP developer mode and Power BI project files, (4) Tabular Object Model (TOM) / .NET SDK scripting, (5) Tabular Editor scripting (C# scripts, advanced scripting), (6) pbi-tools workflows, (7) fabric-cicd Python deployments (FabricWorkspace, publish_all_items), (8) Fabric CLI (fab deploy), (9) Semantic Link / sempy / semantic-link-labs, (10) generating PBIX programmatically, (11) parameter.yml for environment-specific deployments, (12) ALM Toolkit. Provides: PBIR/PBIP project templates, fabric-cicd deploy.py, Tabular Editor scripting recipes, parameter.yml patterns, and end-to-end programmatic workflows.
tools38
nextjs-caching
Complete Next.js caching system with 'use cache' directive (Next.js 16). PROACTIVELY activate for: (1) Understanding 4 caching layers (Request Memoization, Data Cache, Full Route Cache, Router Cache), (2) Cache Components with 'use cache' directive, (3) fetch() caching options, (4) cacheLife() and cacheTag() functions, (5) Time-based revalidation, (6) On-demand revalidation with revalidatePath/revalidateTag, (7) Static generation with generateStaticParams, (8) Cache debugging. Provides: 'use cache' patterns, Cache Components, caching strategies, revalidation patterns, ISR setup, cache headers. Ensures optimal performance with correct cache invalidation.
development38
advanced-features-2025
Advanced Claude Code plugin features for hooks, MCP integration, team distribution, and progressive disclosure. PROACTIVELY activate for: (1) progressive disclosure design, (2) hook automation, (3) PreToolUse and PostToolUse hooks, (4) MCP server integration, (5) .mcp.json configuration, (6) team plugin distribution, (7) repository-level plugin layouts, (8) context efficiency, (9) private marketplaces, (10) ${CLAUDE_PLUGIN_ROOT}. Provides: hooks reference, MCP patterns, team distribution, and context-efficiency guidance.
tools38
nextjs-authentication
Complete Next.js authentication system. PROACTIVELY activate for: (1) NextAuth.js (Auth.js) setup, (2) OAuth providers (GitHub, Google), (3) Credentials provider, (4) Session management (JWT/database), (5) Protected routes with middleware, (6) Role-based access control (RBAC), (7) Login/registration forms, (8) Authorization patterns, (9) Type augmentation for sessions. Provides: Auth.js configuration, middleware protection, session hooks, RBAC patterns, login forms. Ensures secure authentication with proper session handling.
development38
github-actions-2025
GitHub Actions 2025-2026 features and modernization. PROACTIVELY activate for: (1) 1 vCPU Linux runners (October 2025 public preview), (2) immutable releases for hardened distribution, (3) Node24 migration from Node20, (4) reusable workflows and composite actions, (5) workflow_dispatch with rich inputs, (6) artifact attestations and provenance, (7) ARC (Actions Runner Controller) for self-hosted Kubernetes, (8) larger runners and macOS Apple Silicon runners, (9) deployment environments and protection rules, (10) OIDC federation to AWS/Azure/GCP. Provides: workflow templates, runner-selection matrix, OIDC setup recipes, attestation patterns, and Node24 migration steps.
testing38
modal-sandboxes-knowledge
This skill should be used when the user asks to run isolated or untrusted code on Modal.com. PROACTIVELY activate for: modal.Sandbox, safe user code execution, coding playgrounds, named sandboxes, PTY sessions, filesystem snapshots, timeout and resource limits, egress policies, sandbox lifecycle cleanup, terminate(), and security review for code execution. Provides: sandbox security checklist, lifecycle and cleanup patterns, egress/resource-limit recipes, and snapshot/PTY usage examples.
development38
performance-optimization
Power BI performance optimization for slow reports, models, and queries. PROACTIVELY activate for: (1) report is slow or visuals take forever to load, (2) DAX Studio and VertiPaq Analyzer profiling, (3) Performance Analyzer in Power BI Desktop, (4) optimizing slow DAX measures, (5) slow visuals diagnosis, (6) aggregations and composite-model tuning, (7) query reduction techniques (visual settings, top N), (8) model size reduction (cardinality, calculated columns, summary tables), (9) VertiPaq compression tuning, (10) Direct Lake performance and fallback rules, (11) large-dataset (10GB+) optimization. Provides: profiling workflow with DAX Studio, VertiPaq compression checklist, aggregation-table patterns, model-size reduction techniques, and end-to-end performance investigation playbook.
testing38
power-query-m
Power Query M language for ETL, transformations, and connector authoring. PROACTIVELY activate for: (1) writing Power Query M code, (2) query folding and Native Query verification, (3) data transformations (merge, append, pivot, unpivot, split column), (4) custom connector development, (5) Power Query parameters and dynamic source patterns, (6) performance optimization (folding, query reduction, partition strategy), (7) Table.TransformColumns, List.Generate, Record.Field functions, (8) error handling in M (try/otherwise, error records), (9) mashup engine internals, (10) ETL pipelines from folder/SharePoint/database sources. Provides: M language reference, query-folding diagnosis, transformation recipes, dynamic source patterns, error-handling templates, and performance tuning techniques.
development38
deployment-admin
Power BI deployment, CI/CD, governance, and administration. PROACTIVELY activate for: (1) Power BI deployment pipelines (Service deployment pipelines, fabric-cicd, custom workflows), (2) CI/CD for Power BI via GitHub Actions or Azure DevOps, (3) workspace management and roles, (4) row-level security (RLS) and object-level security (OLS), (5) capacity management (Premium, PPU, Fabric SKUs F2-F2048), (6) tenant settings and governance, (7) Power BI Report Server deployments, (8) service principal setup for automation, (9) data-gateway management. Provides: deployment-pipeline templates, GitHub Actions and Azure DevOps YAML, RLS/OLS implementation patterns, capacity sizing guidance, and service-principal auth recipes.
tools38
powerbi-core
Core Power BI data modeling, source connectivity, and platform fundamentals. PROACTIVELY activate for: (1) Power BI data modeling and star-schema design, (2) relationships (active/inactive, bidirectional, USERELATIONSHIP), (3) data-source selection (DirectQuery vs Import vs Direct Lake vs composite), (4) incremental refresh setup, (5) gateway configuration (on-prem and VNet gateways), (6) streaming datasets and push-data scenarios, (7) Dataflow Gen2 basics, (8) Power BI common gotchas and pitfalls (bidirectional filtering, AutoExist, blank-row), (9) workspace identity and OAuth2 / service-principal auth, (10) semantic model architecture review. Provides: star-schema templates, mode-selection matrix, incremental refresh recipe, gateway setup steps, and a common-gotchas reference.
development38
skill-development
Canonical guide to authoring SKILL.md files for Claude Code plugin skills. PROACTIVELY activate for: (1) creating a new skill, (2) adding a skill to a plugin, (3) writing SKILL.md frontmatter, (4) fixing skills that never trigger, (5) organizing core vs references vs examples, (6) improving weak skill descriptions, (7) progressive disclosure design, (8) splitting oversized SKILL.md files, (9) imperative body style, (10) zero-frontmatter SKILL.md files, (11) removing boilerplate from YAML descriptions. Provides: skill template, trigger checklist, size rules, and validation process.
tools38
plugin-master
Complete guide to Claude Code plugin development, architecture, directory layout, components, and marketplace publishing. PROACTIVELY activate for: (1) creating a plugin from scratch, (2) building or scaffolding a plugin, (3) writing plugin.json, (4) adding commands/agents/skills/hooks/MCP servers, (5) packaging code as a plugin, (6) publishing to a marketplace, (7) validating plugin structure, (8) marketplace.json registration, (9) cross-platform compatibility, (10) version and metadata sync. Provides: plugin schema, layouts, workflows, and publishing steps.
tools38
rest-api-automation
Power BI REST API and Fabric REST API automation. PROACTIVELY activate for: (1) calling Power BI REST APIs, (2) embed-token generation (App Owns Data, User Owns Data), (3) service-principal authentication for Power BI, (4) dataset refresh API and refresh status polling, (5) push datasets and streaming, (6) Admin API (workspace/dataset enumeration), (7) Power BI Embedded and the JavaScript SDK (powerbi-client), (8) export-to-file API (PDF/PPTX/PNG), (9) Power BI automation via PowerShell (MicrosoftPowerBIMgmt), (10) Scanner API for tenant inventory, (11) app registration in Microsoft Entra ID. Provides: REST endpoint reference, OAuth/MSAL token recipes, embed-token patterns, refresh automation scripts, JavaScript SDK examples, and PowerShell module recipes.
tools38
validation-testing
TMDL and PBIR validation, linting, and pre-deployment testing. PROACTIVELY activate for: (1) validating TMDL syntax before deploy, (2) validating PBIR schema, (3) catching TmdlFormatException / TmdlSerializationException early, (4) Best Practice Analyzer (BPA) rules and BPA CLI, (5) Tabular Editor BPA scripting, (6) PBI-Inspector / PBI-InspectorV2 / Fab Inspector, (7) PBIR JSON schema validation, (8) pre-deployment validation in CI, (9) fabric-cicd parameter.yml validation, (10) catching breaking changes between TMDL versions. Provides: BPA rule library, validation CLI commands, CI integration for validation, error catalog (TmdlFormatException, etc.), and a pre-deploy validation playbook.
tools38
tmdl-mastery
TMDL (Tabular Model Definition Language) mastery for Power BI semantic models. PROACTIVELY activate for: (1) writing or editing TMDL files, (2) TMDL syntax (model.tmdl, database.tmdl, relationships.tmdl, table folders), (3) TMDL serialization (TmdlSerializer, folder-based vs single-file), (4) TMDL view in Power BI Desktop, (5) TMDL vs TMSL vs BIM format selection, (6) TMDL expressions, calculation groups, perspectives, cultures, translations, annotations, (7) TMDL roles and security, (8) TMDL ref keyword and createOrReplace scripts, (9) TMDL CI/CD integration (Git, deployment), (10) TMDL hierarchies and partitions. Provides: TMDL syntax reference, folder-layout templates, serialization patterns, ref/createOrReplace recipes, and Git integration setup.
development38
agent-development
Canonical guide to authoring Claude Code agent frontmatter and system prompts. PROACTIVELY activate for: (1) creating a new agent, (2) adding an agent to a plugin, (3) writing agent frontmatter, (4) designing a system prompt, (5) configuring <example> trigger blocks, (6) restricting tools, (7) setting model inherit, (8) migrating deprecated agent true flag, (9) fixing "agent never triggers", (10) ensuring skills have agent trigger coverage. Provides: agent templates, lean-orchestrator pattern, and validation checklist.
tools38
powershell-security
Modern PowerShell security practices for 2025 — SecretManagement, JEA, WDAC, credential protection. PROACTIVELY activate for: (1) Microsoft.PowerShell.SecretManagement and SecretStore for credential storage, (2) Just Enough Administration (JEA) endpoints, (3) Windows Defender Application Control (WDAC) for PowerShell, (4) credential protection (PSCredential, SecureString, DPAPI), (5) module signing and Authenticode signatures, (6) ConstrainedLanguage mode, (7) audit logging (transcription, ScriptBlock logging, module logging), (8) AMSI integration, (9) AppLocker rules for PowerShell, (10) supply-chain security (PSGallery trust, package hash verification). Provides: SecretManagement setup, JEA configuration, WDAC policy templates, signing workflow, and audit-logging configuration.
development38
powershell-master
Complete PowerShell expertise system across ALL platforms (Windows/Linux/macOS). PROACTIVELY activate for: (1) ANY PowerShell task (scripts/modules/cmdlets), (2) CI/CD automation (GitHub Actions/Azure DevOps/Bitbucket), (3) Cross-platform scripting, (4) Module discovery and management (PSGallery), (5) Azure/AWS/Microsoft 365 automation, (6) Script debugging and optimization, (7) Best practices and security. Provides: PowerShell 7+ features, popular module expertise (Az, Microsoft.Graph, PnP, AWS Tools), PSGallery integration, platform-specific guidance, CI/CD pipeline patterns, cmdlet syntax mastery, and production-ready scripting patterns. Ensures professional-grade, cross-platform PowerShell automation following industry standards.
tools38
powershell-shell-detection
PowerShell vs Git Bash/MSYS2 shell detection and cross-shell compatibility on Windows. PROACTIVELY activate for: (1) detecting whether script runs under PowerShell, pwsh, Git Bash, or cmd, (2) shell-specific path handling, (3) MSYS_NO_PATHCONV when calling Windows binaries from Git Bash, (4) PowerShell from Git Bash and vice versa, (5) line-ending differences (CRLF vs LF), (6) environment variable differences (env: VAR vs VAR vs percent VAR percent), (7) calling PowerShell scripts (.ps1) from bash and bash scripts from PowerShell, (8) profile loading differences. Provides: shell-detection one-liners, path-conversion helpers, env-var portability patterns, and cross-shell invocation recipes.
tools38
powershell-7.5-features
PowerShell 7.5/7.6 features and enhancements. PROACTIVELY activate for: (1) PowerShell 7.5 stable features, (2) PowerShell 7.6 preview features, (3) ConvertTo-CliXml/ConvertFrom-CliXml, (4) Test-Path -OlderThan/-NewerThan, (5) += operator optimization (8x-16x faster), (6) PSResourceGet 1.1.1/1.2.0, (7) Get-Clipboard -Delimiter, (8) Get-Command -ExcludeModule, (9) DSC v3 resources, (10) .NET 9/.NET 10 integration. Provides: Latest cmdlet usage, performance benchmarks, migration patterns.
tools38
python-ffmpeg
Expert guide to FFmpeg from Python for video/audio processing, encoding, streaming, and media manipulation. PROACTIVELY activate for: (1) Python+FFmpeg via ffmpeg-python, PyAV, subprocess, moviepy; (2) encoding (H.264, H.265/HEVC, VP9/WebM, AV1); (3) hardware acceleration (NVIDIA NVENC, Intel QSV, AMD AMF, VAAPI); (4) audio extraction, conversion, filter chains; (5) video filters (scale, crop, rotate, text/image overlays, color); (6) trim/concat workflows; (7) HLS, DASH, RTMP streaming; (8) metadata probing (ffprobe, ffmpeg.probe); (9) thumbnails (single + sprite sheets); (10) frame-accurate PyAV; (11) bug debugging (audio loss after filters, subprocess deadlocks, Windows paths, -y prompts); (12) GIF, speed change, picture-in-picture, blur/quality detection. Provides: library selection, install steps, copy-pasteable encoding recipes, hardware-accel flag reference, error handling, subprocess best practices, performance tuning for production Python+FFmpeg pipelines.
development38
python-cloudflare
Complete Python Cloudflare deployment system. PROACTIVELY activate for: (1) Python Workers with Pyodide, (2) FastAPI on Workers, (3) Cloudflare Containers for heavy compute, (4) Service bindings (RPC), (5) Environment variables in Workers, (6) Cold start optimization, (7) Workflows for durable execution, (8) GPU containers for AI. Provides: Worker code patterns, wrangler config, Dockerfile templates, FastAPI integration. Ensures edge deployment with proper architecture choices.
development38
python-fundamentals-313
Complete Python 3.13+ fundamentals system. PROACTIVELY activate for: (1) Python 3.13 free-threading (no-GIL), (2) JIT compiler usage, (3) Pattern matching syntax, (4) Walrus operator, (5) F-string features 3.12+, (6) Type parameter syntax 3.12+, (7) Exception groups, (8) Dataclasses and enums, (9) Context managers. Provides: Modern syntax, performance features, best practices, naming conventions. Ensures correct Python 3.13+ patterns with optimal performance.
development38
powershell-2025-changes
Critical PowerShell changes, deprecations, and migrations for 2025. PROACTIVELY activate for: (1) PowerShell 7.5 GA changes, (2) PowerShell 7.6 preview features, (3) Windows PowerShell 5.1 deprecation timeline, (4) PSReadLine 2.4+ updates, (5) Az PowerShell 14.x breaking changes, (6) Microsoft.Graph migration from AzureAD/MSOnline modules, (7) PSResourceGet replacing PowerShellGet 2.x, (8) DSC v3 and migration from DSC v1/v2, (9) ExecutionPolicy and constrained language mode updates, (10) .NET 9/.NET 10 integration impact. Provides: deprecation timeline, breaking-change checklist, migration scripts (AzureAD to Microsoft.Graph), and PSResourceGet upgrade steps.
testing38
adf-ml-analytics
ADF + Azure ML and analytics integrations. PROACTIVELY activate for: (1) Azure ML batch endpoints invoked from ADF, (2) Azure OpenAI Batch API pipeline patterns, (3) ADF ML scoring orchestration, (4) SQL to Storage archival pipelines, (5) AI Services integration via REST connector, (6) Databricks notebook execution from ADF, (7) Data Flow feature engineering, (8) Synapse / Fabric integration from ADF, (9) Cognitive Search indexer triggers, (10) Power BI dataset refresh via REST. Provides: REST connector recipes, Databricks linked service setup, Data Flow templates, and end-to-end ML scoring pipelines.
development37
sprint-254-features
Azure DevOps Sprint 254-262 new features and enhancements (2025). PROACTIVELY activate for: (1) checking what is new in recent Azure DevOps sprints, (2) using new pipeline tasks introduced in Sprint 254+, (3) Azure Boards updates (delivery plans, query enhancements), (4) Azure Repos updates (branch policies, advanced security), (5) Azure Pipelines updates (1ES hosted pools, agent retirement), (6) Azure Artifacts updates (upstream sources, retention), (7) deprecation notices (TFVC, classic pipelines), (8) GitHub Advanced Security for ADO. Provides: sprint-by-sprint changelog, new feature reference, deprecation timeline, and migration notes.
development37
aks-automatic-2025
Azure Kubernetes Service (AKS) Automatic mode and 2025 platform features. PROACTIVELY activate for: (1) AKS Automatic (managed Kubernetes, zero operational overhead), (2) Karpenter-based autoscaling on AKS, (3) NodePool CRD usage, (4) HPA, VPA, KEDA on AKS, (5) workload identity and Microsoft Entra integration, (6) AKS billing model (Automatic vs Standard), (7) AKS 2025 cluster defaults (RBAC, Azure CNI overlay, Cilium), (8) AKS upgrade and version management, (9) GitOps on AKS (Flux, ArgoCD), (10) AKS observability (Azure Monitor for containers, Managed Prometheus). Provides: AKS Automatic vs Standard comparison, Karpenter setup, workload-identity recipes, KEDA scaler patterns, and an end-to-end AKS Automatic deployment guide.
development37
azure-openai-2025
Azure OpenAI Service and Azure AI Foundry models (2025-2026). PROACTIVELY activate for: (1) deploying Azure OpenAI models (GPT-5, GPT-4.1, GPT-4o), (2) Azure reasoning models (o3, o4-mini), (3) Azure AI Foundry model catalog selection, (4) Azure OpenAI SDK usage (Python, .NET, JavaScript), (5) Sora on Azure for video generation, (6) deployment SKUs (Standard, Provisioned Throughput Units, Global Standard, DataZone), (7) regional availability and quota management, (8) content filters and safety policies, (9) on-your-data scenarios with retrieval, (10) embedding models and vector search. Provides: model selection matrix, SKU/quota guidance, SDK setup recipes, content-filter configuration, and on-your-data patterns.
development37
advanced-array-patterns
Advanced bash array patterns including indexed and associative arrays, mapfile/readarray, slicing, and array manipulation (2025). PROACTIVELY activate for: (1) using bash arrays effectively, (2) reading file contents into an array via mapfile/readarray, (3) authoring associative arrays (declare -A), (4) iterating arrays safely under set -u, (5) deleting/inserting array elements, (6) joining and splitting arrays, (7) passing arrays to functions via nameref (declare -n), (8) array slicing and parameter expansion, (9) sorting and deduplicating arrays in pure bash. Provides: indexed and associative array reference, mapfile and readarray recipes, nameref-based pass-by-reference, slicing/expansion patterns, and gotchas for unset variables and word splitting.
development37
modern-automation-patterns
Modern DevOps and CI/CD bash automation patterns with containers and cloud (2025). PROACTIVELY activate for: (1) writing CI/CD scripts (GitHub Actions, GitLab CI, Azure DevOps), (2) container-aware shell scripting (detecting containers, Kubernetes pods), (3) cloud provider helpers (AWS CLI, Azure CLI, gcloud), (4) blue-green and canary deployments via bash, (5) writing idempotent rollback scripts, (6) integrating with Docker/Compose from bash, (7) cross-environment variable management, (8) build matrix orchestration. Provides: copy-pasteable CI snippets, container detection helpers, cloud CLI wrappers, deployment orchestration patterns, and idempotent rollback templates.
tools37
debugging-troubleshooting-2025
Comprehensive bash script debugging and troubleshooting techniques for 2025. PROACTIVELY activate for: (1) debugging a misbehaving bash script, (2) using set -x, set -e, set -u, set -o pipefail (strict mode), (3) customizing PS4 for richer trace output, (4) trap DEBUG, ERR, and EXIT for diagnostics, (5) bashdb and other interactive debuggers, (6) profiling slow scripts (timing, BASH_REMATCH overhead), (7) reproducing CI-only failures locally, (8) resolving unbound variable or command not found errors, (9) understanding subshell vs current-shell variable scope. Provides: strict-mode template, PS4 patterns, trap recipes for instrumentation, profiling techniques, and a step-by-step debugging playbook.
development37
docker-git-bash-guide
Docker on Windows with Git Bash / MINGW path conversion. PROACTIVELY activate for: (1) Docker commands failing on Windows Git Bash with path errors, (2) volume mount path conversion (-v $(pwd):/app), (3) MSYS_NO_PATHCONV and MSYS2_ARG_CONV_EXCL workarounds, (4) double-slash escapes (//c/foo) for MINGW, (5) docker-compose volume mounts on Windows, (6) WSL2 vs Hyper-V backend path interop, (7) line-ending issues in mounted scripts (CRLF vs LF), (8) UNC path limitations. Provides: MSYS path-conversion explainer, copy-pasteable env-var workarounds, double-slash recipes, line-ending fixes, and compose-mount patterns for Windows.
development37
docker-security-guide
Comprehensive Docker security guidelines and threat mitigation. PROACTIVELY activate for: (1) container security review, (2) running as non-root user, (3) read-only root filesystems and tmpfs mounts, (4) capability dropping (--cap-drop ALL), (5) seccomp and AppArmor profiles, (6) image vulnerability scanning (Docker Scout, Trivy, Grype), (7) supply-chain security (signed images, SBOM, provenance), (8) secrets management (Docker secrets, BuildKit --secret, external vaults), (9) network segmentation (user-defined networks, no --net=host), (10) CIS Docker Benchmark compliance. Provides: hardening checklist, scan-tool integration recipes, CIS benchmark mapping, secret handling patterns, and capability-drop reference.
tools37
fal-optimization
Complete fal.ai optimization system. PROACTIVELY activate for: (1) Queue vs run performance, (2) Parallel request batching, (3) Streaming for real-time UI, (4) WebSocket for interactive apps, (5) Model cost comparison, (6) Image size optimization, (7) Inference step tuning, (8) Webhook vs polling, (9) Result caching by seed, (10) Serverless scaling config. Provides: Parallel patterns, cost strategies, caching examples, monitoring setup. Ensures optimal performance and cost-effective usage.
development37
fal-text-to-image
Complete fal.ai text-to-image system. PROACTIVELY activate for: (1) FLUX.1/2 Pro/Dev/Schnell generation, (2) SDXL and Fast SDXL, (3) Image size presets (square_hd, landscape_16_9), (4) Guidance scale and inference steps, (5) LoRA model application, (6) Seed for reproducibility, (7) Batch generation (num_images), (8) Ideogram for text in images, (9) Recraft for design assets. Provides: Model endpoints, parameter reference, prompt engineering, quality vs speed trade-offs. Ensures optimal text-to-image generation.
development37
fal-model-guide
Complete fal.ai model selection system. PROACTIVELY activate for: (1) Choosing image generation models (FLUX, SDXL), (2) Choosing video models (Kling, Sora, LTX), (3) Choosing audio models (Whisper, ElevenLabs), (4) Model quality vs speed comparison, (5) Cost optimization by model tier, (6) 3D generation models, (7) Model-specific parameters, (8) Development vs production model selection. Provides: Model comparison tables, decision trees, pricing tiers, performance benchmarks. Ensures optimal model selection for quality, speed, and cost.
development37
ffmpeg-filter-complex-patterns
Complete guide to FFmpeg filter_complex syntax, multi-input/output pipelines, and composition patterns. PROACTIVELY activate for: (1) filter_complex syntax questions, (2) Multi-input video composition (PiP, grids, overlays), (3) Video transitions (xfade, fades, wipes), (4) Audio mixing (amix, amerge), (5) Stream splitting and routing, (6) Named stream labels, (7) Complex filtergraphs, (8) GPU + CPU hybrid filter chains, (9) ABR encoding ladders, (10) Text and watermark overlays. Provides: Syntax reference, composition patterns, audio mixing examples, transition effects, GPU-accelerated filtergraphs, debugging tips.
development37
ffmpeg-hardware-acceleration
Complete GPU-accelerated encoding/decoding system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) NVIDIA NVENC/NVDEC encoding, (2) Intel Quick Sync Video (QSV), (3) AMD AMF encoding, (4) Apple VideoToolbox, (5) Linux VAAPI setup, (6) Vulkan Video 8.0 (FFv1, AV1, VP9, ProRes RAW), (7) VVC/H.266 hardware decoding (VAAPI/QSV), (8) GPU pipeline optimization with pad_cuda, (9) Docker GPU containers, (10) Performance benchmarking. Provides: Platform-specific commands, preset comparisons, quality tuning, full GPU pipeline examples, Vulkan compute codecs, VVC decoding, troubleshooting guides. Ensures: Maximum encoding speed with optimal quality using GPU acceleration.
tools37
ffmpeg-animation-timing-reference
Definitive reference for FFmpeg and ASS/SSA animation timing units, optimal durations, and best practices. PROACTIVELY activate for: (1) Animation timing questions, (2) ASS subtitle timing, (3) Karaoke timing tags, (4) Caption duration calculation, (5) Transition duration selection, (6) Fade/zoom timing, (7) Frame rate considerations, (8) Platform-specific timing (TikTok/Shorts/Reels), (9) Readability formulas, (10) Audio-video sync tolerances. Provides: Complete time unit reference tables, optimal duration guidelines, psychology-based timing recommendations, caption readability formulas, and platform-specific timing profiles.
testing37
ffmpeg-shapes-graphics
Complete shape and graphics overlay system. PROACTIVELY activate for: (1) Drawing rectangles (drawbox), (2) Grid overlays (drawgrid), (3) Circles and ellipses (geq), (4) Image watermarks and logos, (5) Lower third graphics, (6) Progress bars and indicators, (7) Animated overlays, (8) Blend modes and compositing, (9) Safe area guides, (10) Generated patterns (gradients, noise, checkerboards). Provides: Filter syntax reference, position expressions, color format guide, blend mode examples, performance optimization tips. Ensures: Professional graphics overlays and visual effects on video.
development37
ffmpeg-transitions-effects
Complete video transition system. PROACTIVELY activate for: (1) xfade transitions (40+ types), (2) Fade in/out effects, (3) Crossfades and dissolves, (4) Wipe transitions (directional), (5) Slide and push effects, (6) Circle/iris transitions, (7) Multi-clip transition sequences, (8) Slideshow creation, (9) Custom transition expressions, (10) Audio crossfade synchronization. Provides: Complete xfade type reference, offset calculation formulas, multi-clip examples, custom expression guide, troubleshooting for resolution/framerate mismatches. Ensures: Smooth professional transitions between video clips.
tools37
ffmpeg-cicd-runners
Complete CI/CD video processing system. PROACTIVELY activate for: (1) GitHub Actions FFmpeg setup, (2) GitLab CI video pipelines, (3) Jenkins declarative pipelines, (4) FFmpeg caching strategies, (5) Windows runner workarounds, (6) GPU-enabled self-hosted runners, (7) Matrix builds for multi-format, (8) Artifact upload/download, (9) Video validation workflows, (10) BtbN/FFmpeg-Builds integration. Provides: YAML workflow examples, Docker container patterns, caching configuration, platform-specific solutions, debugging guides. Ensures: Fast, reliable video processing in CI/CD pipelines.
development37
ffmpeg-webassembly-workers
Complete browser-based FFmpeg system. PROACTIVELY activate for: (1) ffmpeg.wasm setup and loading, (2) Browser video transcoding, (3) React/Vue/Next.js integration, (4) SharedArrayBuffer and COOP/COEP headers, (5) Multi-threaded ffmpeg-core-mt, (6) Cloudflare Workers limitations, (7) Custom ffmpeg.wasm builds, (8) Memory management and cleanup, (9) Progress tracking and UI, (10) IndexedDB core caching. Provides: Framework-specific examples, header configuration, common operation recipes, performance optimization, troubleshooting guides. Ensures: Client-side video processing without server dependencies.
tools37
viral-video-animated-captions
CapCut-style animated word-level captions for viral video with FFmpeg. PROACTIVELY activate for: (1) Word-by-word caption highlighting, (2) Animated subtitle effects, (3) CapCut-style captions, (4) Karaoke-style text, (5) Bounce/pop text animations, (6) Color-changing words, (7) Emoji integration in captions, (8) Multi-style caption presets, (9) Trending caption styles, (10) Social media caption optimization. Provides: ASS subtitle generation scripts, word-level timing workflows, animation presets, color schemes, font recommendations, and platform-specific caption styles for TikTok, YouTube Shorts, and Instagram Reels.
testing37
adf-master
Azure Data Factory (ADF) CI/CD, deployment, and pipeline development. PROACTIVELY activate for: (1) ADF CI/CD setup (npm validation, ARM template export), (2) ADF ARM template deployment, (3) ADF npm build validation in CI, (4) PrePostDeploymentScript for trigger and resource cleanup, (5) ADF GitHub Actions workflows, (6) ADF Azure DevOps pipelines, (7) ADF Git integration (collaboration vs publish branch), (8) parameterizing linked services and datasets across environments, (9) ADF triggers (schedule, tumbling window, event), (10) deployment slots and blue-green for ADF. Provides: complete CI/CD YAML for GitHub Actions and Azure DevOps, PrePostDeploymentScript reference, parameterization patterns, and trigger management recipes.
development37
fabric-onelake-2025
ADF + Microsoft Fabric / OneLake 2025 integration. PROACTIVELY activate for: (1) Fabric Lakehouse connector in ADF, (2) Fabric Warehouse connector in ADF, (3) OneLake shortcuts and cross-workspace data, (4) Invoke Pipeline activity for cross-platform orchestration (ADF -> Fabric, Fabric -> ADF), (5) copying data between ADF and Microsoft Fabric workspaces, (6) authenticating with Fabric workspace identity, (7) cross-platform parameter passing, (8) hybrid ADF + Fabric pipeline patterns. Provides: Fabric connector setup, Invoke Pipeline templates, OneLake shortcut patterns, and ADF-to-Fabric migration guidance.
devops37
ado-pipeline-best-practices
Azure DevOps pipeline best practices, patterns, and industry standards. PROACTIVELY activate for: (1) authoring or reviewing Azure DevOps YAML pipelines, (2) multi-stage pipeline patterns (build, test, deploy), (3) reusable templates (steps, jobs, stages), (4) pipeline caching (Cache@2 task), (5) parallel jobs and matrix strategies, (6) deployment strategies (rolling, blue-green, canary), (7) approvals and environments, (8) variable groups, secret variables, Key Vault linkage, (9) service connections (Azure RM, GitHub, container registries), (10) pipeline versioning and pinning task major versions. Provides: YAML pattern catalog, template library structure, caching recipes, deployment strategy templates, and a pipeline-quality checklist.
development37
adf-validation-rules
ADF activity nesting rules, limits, and validation gotchas. PROACTIVELY activate for: (1) ADF activity nesting rules (ForEach inside If, Switch, Until), (2) ForEach limitations (no nested ForEach, item limits), (3) pipeline validation errors and ARM-template build failures, (4) linked service authentication issues, (5) Set Variable restrictions in ForEach, (6) Data Flow constraints (transformation limits, source/sink rules), (7) parameter and variable scope, (8) max activities per pipeline, (9) pipeline concurrency limits. Provides: nesting rule matrix, activity limit reference, validation error catalog, and refactoring patterns for unsupported nesting.
development37
windows-git-bash-compatibility
Windows and Git Bash compatibility for ADF tooling. PROACTIVELY activate for: (1) MSYS_NO_PATHCONV usage with ADF CLI tools, (2) Git Bash path conversion when running ADF npm builds, (3) PowerShell scripts called from Git Bash for ADF, (4) Azure CLI from Git Bash on Windows for ADF deployments, (5) ARM template export issues on Windows, (6) ADF utilities npm package on Windows, (7) line-ending issues in JSON pipeline definitions. Provides: MSYS env-var recipes, npm-on-Windows fixes, PowerShell-from-bash patterns, and Azure CLI auth on Git Bash.
tools37
databricks-2025
ADF + Databricks 2025 integration patterns. PROACTIVELY activate for: (1) Databricks Job activity in ADF, (2) DatabricksJob (preview) vs DatabricksNotebook activity, (3) ServiceNow V2 connector, (4) ADF managed identity authentication for Databricks, (5) Databricks serverless linked services, (6) Snowflake V2 connector, (7) Databricks job parameters and outputs, (8) MFA enforcement and authentication updates, (9) Unity Catalog integration, (10) Delta Live Tables orchestration from ADF. Provides: Databricks linked service templates (PAT, MSI, serverless), DatabricksJob activity examples, parameter passing recipes, and authentication migration guidance.
testing37
defender-for-devops
Microsoft Defender for DevOps integration with Azure Pipelines. PROACTIVELY activate for: (1) adding security scanning to a pipeline, (2) Microsoft Security DevOps task (MSDO), (3) SAST tools (CredScan, ESLint, BinSkim, Bandit, Semgrep), (4) dependency scanning (Dependency-Check, Snyk), (5) container image scanning (Trivy, Defender for Containers), (6) IaC scanning (Checkov, Terrascan), (7) secret scanning, (8) SARIF results upload, (9) Defender for Cloud connector setup, (10) compliance reporting and policy gates. Provides: MSDO task YAML, scanner enable/disable matrix, SARIF integration, Defender connector setup steps, and a quality-gate template.
tools37
ado-windows-git-bash-compatibility
Windows and Git Bash compatibility for Azure Pipelines. PROACTIVELY activate for: (1) pipelines that pass on Linux but fail on Windows agents, (2) path conversion issues in pipeline scripts (MSYS, MINGW), (3) shell detection (bash@3, pwsh@2, powershell@2 task selection), (4) MSYS_NO_PATHCONV and MSYS2_ARG_CONV_EXCL workarounds, (5) Windows self-hosted agent configuration, (6) cross-platform script patterns, (7) line-ending issues (CRLF vs LF) in checked-in scripts, (8) Docker on Windows agents, (9) UNC and long-path limitations. Provides: shell-task selection matrix, path-conversion env-var recipes, line-ending fixes, and a Windows-specific pipeline troubleshooting playbook.
testing37
azure-ml-foundry-workspace
Azure Machine Learning Workspace and Azure AI Foundry deep dive. PROACTIVELY activate for: (1) creating and configuring Azure ML workspaces, (2) Azure AI Foundry hubs and projects, (3) ML workspace networking (managed VNet, private endpoints, DNS), (4) ML compute clusters and compute instances, (5) managed online endpoints, batch endpoints, Kubernetes endpoints, (6) managed identities for ML resources, (7) ACR integration for custom environments, (8) storage account configuration, (9) az ml CLI v2 commands, (10) PowerShell Az.MachineLearningServices, (11) reading ML compute and deployment logs, (12) GPU SKU selection (ND/NC series, H100/H200/A100). Provides: workspace setup playbook, network-isolation patterns, endpoint deployment templates, az ml CLI cheat sheet, and log diagnosis workflow.
tools37
azure-well-architected-framework
Azure Well-Architected Framework (WAF) for cloud architecture review. PROACTIVELY activate for: (1) Azure architecture review or design, (2) Reliability pillar (availability zones, geo-replication, backup/restore, RPO/RTO), (3) Security pillar (Zero Trust, encryption at rest/in transit, identity, network segmentation), (4) Cost Optimization pillar (rightsizing, reserved instances, savings plans, FinOps), (5) Operational Excellence pillar (IaC, observability, automation), (6) Performance Efficiency pillar (caching, autoscaling, async patterns), (7) Sustainability pillar, (8) WAF Reviews via the WAF Assessment Tool, (9) Microsoft Cloud Adoption Framework (CAF) alignment. Provides: pillar-by-pillar checklist, WAF assessment workflow, common antipatterns by pillar, and Azure Advisor mapping.
tools37
deployment-stacks-2025
Azure Deployment Stacks for unified resource lifecycle management. PROACTIVELY activate for: (1) Azure Deployment Stacks (GA replacement for Azure Blueprints), (2) deny settings (DenyDelete, DenyWriteAndDelete) for resource protection, (3) ActionOnUnmanage behavior (delete, detach), (4) Bicep deployment stacks, (5) cross-subscription stack deployments, (6) updating an existing stack (resource adoption), (7) inspecting stack resources and history, (8) stack vs traditional deployment tradeoffs, (9) GitOps with deployment stacks. Provides: Bicep stack templates, az stack CLI reference, deny-settings matrix, and migration guidance from Blueprints.
tools37
container-apps-gpu-2025
Azure Container Apps with GPU support, serverless capabilities, and Foundry Models. PROACTIVELY activate for: (1) Container Apps GPU (serverless GPU workloads), (2) Container Apps with Dapr integration, (3) scale-to-zero AI workloads, (4) Container Apps Jobs (one-shot, scheduled, event-driven), (5) Container Apps Foundry Models integration, (6) revisions and traffic splitting, (7) custom domains and managed certificates, (8) ingress and authentication, (9) Container Apps Environment configuration, (10) Workload Profiles (Consumption vs Dedicated). Provides: GPU SKU reference, scale rule examples (HTTP, KEDA), Dapr building-block recipes, traffic-split patterns, and end-to-end serverless GPU deployment.
development37
bash-master
Expert bash/shell scripting across environments where Bash is available (Linux, macOS, Git Bash on Windows, WSL, containers). This is a Bash-focused skill - it does not provide PowerShell parity; on Windows the target is the Bash interpreter (Git Bash / WSL), not native PowerShell. PROACTIVELY activate for: (1) ANY bash/shell script task, (2) System automation, (3) DevOps/CI/CD scripts, (4) Build/deployment automation, (5) Script review/debugging, (6) Converting commands to scripts. Provides: Google Shell Style Guide compliance, ShellCheck validation, Bash portability across Linux/macOS/WSL/Git Bash/containers, POSIX compliance, security hardening, error handling, performance optimization, testing with BATS, and production-ready patterns. Ensures professional-grade, secure, portable Bash scripts every time.
tools37
docker-watch-mode-2025
Docker Compose Watch mode for hot reload during local development (2025 GA). PROACTIVELY activate for: (1) docker compose watch setup, (2) watch action types (sync, rebuild, sync+restart, sync+exec), (3) configuring path filters and ignore patterns, (4) hot-reload for Node/Python/Go/Rust apps in Compose, (5) sync-only vs rebuild trade-offs, (6) using watch with profiles, (7) debugging watch mode (verbose logs), (8) integrating watch with bind mounts, (9) Compose watch vs nodemon/air/cargo-watch. Provides: watch action reference, per-language hot-reload examples, path filter patterns, and troubleshooting steps.
development37
compose-patterns-2025
Docker Compose production patterns for 2025 (multi-environment, health checks, modern features). PROACTIVELY activate for: (1) production Docker Compose patterns, (2) multi-environment strategies (compose.override.yml, compose.production.yml), (3) HEALTHCHECK and depends_on with conditions (service_healthy, service_started), (4) Compose v2 features (profiles, includes, watch), (5) secrets and configs (Compose secrets), (6) network segmentation in Compose, (7) resource limits (deploy.resources), (8) restart policies, (9) Compose for swarm vs standalone, (10) migrating from v3 to current Compose Spec. Provides: production compose templates, multi-env override patterns, healthcheck recipes, secrets handling, and Compose Spec migration.
testing37
fal-image-to-video
Complete fal.ai image-to-video system. PROACTIVELY activate for: (1) Kling 2.5/2.6 Pro image animation, (2) MiniMax Hailuo with prompt optimizer, (3) LTX image-to-video, (4) Runway Gen-3 Turbo, (5) Luma Dream Machine with loop, (6) Stable Video Diffusion, (7) Motion description prompts, (8) Portrait/product animation workflows. Provides: Model endpoints, motion keywords, animation techniques, workflow examples. Ensures natural image animation with proper motion description.
data-ai37
bash-53-features
Bash 5.3 new features and modern patterns (2025). PROACTIVELY activate for: (1) Bash 5.3 specific features (BASH_TRAPSIG, in-shell command substitution, ${|} REPLY syntax), (2) checking bash version compatibility, (3) migrating scripts to take advantage of 5.3 additions, (4) C23 conformance changes in bash 5.3, (5) new shopt and bind options, (6) trap handling improvements, (7) wait -p enhancements, (8) READLINE_ARGUMENT and history expansion changes. Provides: complete 5.3 feature reference, version-detection snippets, compatibility shims for older bash, migration recipes, and POSIX.1-2024 alignment notes.
testing37
azure-emulators-2025
Azure service emulators for local development in Docker (2025). PROACTIVELY activate for: (1) Azurite for Storage (Blob, Queue, Table) emulation, (2) Cosmos DB Linux Emulator container, (3) Event Hubs emulator, (4) Service Bus emulator, (5) Azure Functions Core Tools image, (6) Azure SQL Edge container, (7) Azure App Configuration emulator, (8) connection-string conventions for emulators, (9) seeding emulators with fixtures, (10) running integration tests against emulators in CI. Provides: emulator selection matrix, docker-compose templates, well-known dev connection strings, seed-data patterns, and CI integration recipes.
tools37
string-manipulation-mastery
Advanced bash string manipulation including parameter expansion, pattern matching, regex, and text processing (2025). PROACTIVELY activate for: (1) parameter expansion (prefix/suffix removal, search/replace, substring), (2) regex matching with [[ =~ ]] and BASH_REMATCH, (3) case modification (uppercase/lowercase), (4) substring extraction without sed/awk, (5) splitting strings into arrays via IFS, (6) escaping for safe interpolation, (7) URL encoding and decoding in pure bash, (8) trimming whitespace, (9) avoiding subshell overhead in tight loops. Provides: parameter-expansion cheat sheet, regex patterns with BASH_REMATCH examples, case-conversion recipes, and IFS-based splitting/joining patterns.
development37
process-substitution-fifos
Process substitution, named pipes (FIFOs), and advanced IPC patterns for efficient bash data streaming (2025). PROACTIVELY activate for: (1) using process substitution with <(cmd) and >(cmd), (2) creating named pipes (mkfifo) for inter-process streaming, (3) avoiding intermediate temp files in pipelines, (4) tee-ing into multiple consumers, (5) feeding diff/comm with command output, (6) building shell-only producers and consumers, (7) reading from a FIFO with timeout, (8) signal-safe FIFO cleanup. Provides: process substitution patterns, mkfifo recipes, multi-consumer tee patterns, and signal-safe cleanup with trap.
development37
parallel-processing-patterns
Parallel and concurrent processing patterns in bash including GNU Parallel, xargs -P, job pools, and async patterns (2025). PROACTIVELY activate for: (1) running tasks in parallel from bash, (2) xargs -P for parallel command execution, (3) GNU parallel for complex distribution, (4) background jobs with & and wait, (5) implementing a concurrency cap (job pool of N workers), (6) collecting exit codes from parallel children, (7) preventing race conditions in shared output files, (8) parallel file processing across many cores. Provides: xargs -P recipes, GNU parallel quick reference, job-pool implementations in pure bash, exit-code aggregation patterns, and FIFO-based work queues.
development37
security-first-2025
Security-first bash scripting patterns for 2025 (mandatory validation, zero-trust). PROACTIVELY activate for: (1) reviewing or writing security-sensitive bash scripts, (2) preventing command injection via input validation, (3) safely handling untrusted input (URLs, filenames, env vars), (4) protecting HISTFILE and avoiding secret leakage, (5) safe temporary file creation (mktemp), (6) absolute paths and PATH hardening, (7) avoiding eval and dynamic command construction, (8) signal handling for cleanup, (9) ShellCheck SC2068 / SC2086 compliance. Provides: mandatory-validation patterns, secret-handling rules, mktemp recipes, signal-safe cleanup, and a security review checklist.
development37
cloudflare-knowledge
Cloudflare platform knowledge — Workers, Pages, R2, D1, KV, Durable Objects, AI, and Zero Trust. PROACTIVELY activate for: (1) Cloudflare Workers (handlers, bindings, wrangler), (2) Cloudflare Pages and Pages Functions, (3) R2 object storage, (4) D1 SQL database, (5) Workers KV and Durable Objects, (6) Workers AI inference (LLMs, embeddings, image gen), (7) Vectorize (vector database), (8) Queues and Email Workers, (9) Zero Trust (Access, Tunnel/cloudflared, Gateway), (10) DNS, WAF, Rate Limiting, Page Rules. Provides: wrangler.toml templates, binding patterns, R2/D1/KV usage, Workers AI examples, and Zero Trust config.
development37
adr-backfill
This skill should be used to retroactively record an architectural decision that was made in the past but never written up as an ADR — typically surfaced by a doc audit or by a user realising a long-ago shipped change should have been documented. PROACTIVELY activate on "backfill ADR", "retroactive ADR", "post-hoc ADR", "reconstruct an ADR from history", "write up a past decision", "we never documented this decision", "decision was made but no ADR exists", "we decided years ago", "back when", "before my time", or "the audit surfaced a backfill candidate." Tense rule: `adr-drafting` claims "we decided / we're deciding"; `adr-backfill` claims "we decided years ago / back when / before my time / never wrote it down." Refuses when reconstruction confidence is `low` -- routes to `open-questions.md`. Requires evidence in two independent locations and a verbatim honesty clause in the record. Provides: backfill ADR template, confidence rubric, evidence corroboration, honesty-clause boilerplate.
development37
adr-discovery
This skill should be used before drafting an ADR when context, components, relationships, deciders, or prior decisions are unclear. PROACTIVELY activate on "I want to write an ADR for X", "gather context for a decision", "discovery for an ADR", "ADR intake", "ADR pre-flight", "prep work before an ADR", "what's the current architecture?", or "set up a decision log." Provides: zero-hallucination Q&A, human-confirmed discovery brief, open-questions register, and five required confirmations before drafting.
testing37
shellcheck-cicd-2025
ShellCheck validation as a non-negotiable 2025 workflow practice. PROACTIVELY activate for: (1) running ShellCheck on bash scripts, (2) interpreting and fixing ShellCheck warnings (SC2086, SC2068, SC2155, SC2295, SC2327, SC2328, SC2294), (3) integrating ShellCheck into CI (GitHub Actions, Azure DevOps, pre-commit), (4) per-line and per-file disable directives (when justified), (5) shellcheck-rc and project configuration, (6) ShellCheck v0.11.0 new checks, (7) suppressing false positives correctly. Provides: ShellCheck install/CI setup, common warning catalog with fixes, CI workflow templates, and a quality gate pattern that fails builds on regressions.
development37
microsoft-guide
Microsoft .NET Microservices Architecture Guide reference. PROACTIVELY activate for: (1) reading or applying patterns from Microsoft .NET Microservices Architecture for Containerized .NET Applications, (2) eShopOnContainers reference architecture, (3) DDD and bounded contexts, (4) integration events (RabbitMQ, Azure Service Bus), (5) API gateway patterns (Ocelot, YARP), (6) resilience patterns (Polly), (7) data patterns (CQRS, event sourcing), (8) testing strategies in microservices, (9) deployment to Kubernetes/AKS/Container Apps. Provides: chapter-by-chapter summary, code patterns from eShopOnContainers, decision matrices for sync vs async integration, and links into specific guide sections.
development37
docker-2025-features
Latest Docker features (2025-2026) including Docker AI, Enhanced Container Isolation, BuildKit improvements, and Moby. PROACTIVELY activate for: (1) Docker AI / Ask Gordon assistant, (2) Enhanced Container Isolation (ECI) for hardened runtime, (3) Moby 25+ engine features, (4) BuildKit advancements (cache mounts, secrets, SBOM, provenance), (5) Docker Compose v2 features (watch mode, profiles, includes), (6) Docker Desktop new settings (Resource Saver, Synchronized File Shares, virtiofs), (7) Docker Build Cloud, (8) Docker Scout for vulnerability scanning, (9) WSL2 backend updates, (10) ContainerD integration. Provides: feature reference, version-detection snippets, BuildKit cache/secret recipes, Compose v2 watch examples, and migration notes.
development37
docker-best-practices
Comprehensive Docker best practices for images, containers, and production deployments. PROACTIVELY activate for: (1) writing production-ready Dockerfiles, (2) multi-stage builds for lean images, (3) base image selection (distroless, alpine, scratch, slim), (4) layer caching and ordering, (5) .dockerignore hygiene, (6) HEALTHCHECK and graceful shutdown, (7) non-root user and least-privilege patterns, (8) ENV vs ARG and secret handling, (9) tag/digest pinning and reproducibility, (10) Compose for local development. Provides: Dockerfile templates by language, image-size optimization checklist, .dockerignore template, HEALTHCHECK patterns, and Compose dev-stack examples.
development37
fal-api-reference
Complete fal.ai API reference system. PROACTIVELY activate for: (1) @fal-ai/client JavaScript setup, (2) fal_client Python setup, (3) fal.subscribe/run/stream methods, (4) Queue management (submit/status/result), (5) Webhook configuration, (6) File upload to fal.media, (7) REST API endpoints, (8) Real-time WebSocket connections, (9) Error handling patterns. Provides: Client configuration, method signatures, queue workflow, webhook payloads, common parameters. Ensures correct API usage with proper authentication and error handling.
tools37
docker-platform-guide
Platform-specific Docker considerations for Windows, Linux, and macOS. PROACTIVELY activate for: (1) Docker Desktop on Windows (WSL2 vs Hyper-V backends), (2) Docker Desktop on macOS (Apple Silicon, Rosetta, virtiofs), (3) native Docker Engine on Linux, (4) rootless Docker setup, (5) cross-platform image building (--platform, buildx, multi-arch manifests), (6) ARM64 vs x86_64 image selection, (7) volume performance differences (bind mount vs named volume across platforms), (8) Docker Desktop resource tuning per OS. Provides: per-platform setup steps, multi-arch build recipes, rootless setup, performance-tuning checklist, and known platform-specific gotchas.
development37
c4-model
This skill should be used to create or update a C4 architecture diagram alongside an ADR, especially in LikeC4. PROACTIVELY activate on "add a C4 diagram", "create a context diagram", "container view", "LikeC4 model", "draw the architecture", "diagram this decision", "architecture diagram for the ADR", "visualize the components", "C4 view", or "Simon Brown C4." Provides: canonical-C4 Context and Container views from confirmed elements, relationship descriptions, and strict refusal of non-canonical diagram types.
testing37
fal-serverless-guide
Complete fal.ai serverless deployment system. PROACTIVELY activate for: (1) Creating fal.App class, (2) GPU machine selection (T4/A10G/A100/H100), (3) setup() for model loading, (4) @fal.endpoint decorators, (5) Persistent volumes for weights, (6) Secrets management, (7) Scaling configuration (min/max concurrency), (8) Multi-GPU deployment, (9) fal deploy commands, (10) Local development with fal run. Provides: App structure, Dockerfile patterns, deployment commands, scaling config. Ensures production-ready serverless ML deployment.
development37
ffmpeg-audio-processing
Complete audio encoding and normalization system. PROACTIVELY activate for: (1) Audio codec selection (AAC, MP3, Opus, FLAC), (2) Loudness normalization (EBU R128, loudnorm), (3) Audio extraction from video, (4) Format conversion, (5) Volume adjustment and dynamics, (6) Noise reduction and EQ, (7) Channel operations (stereo/mono/surround), (8) Sample rate and bit depth conversion, (9) Audio fade in/out and crossfades, (10) Podcast and broadcast processing chains. Provides: Codec comparison tables, loudness standards reference, two-pass normalization scripts, professional mastering chains. Ensures: Broadcast-compliant audio with proper loudness and quality.
development37
fal-text-to-video
Complete fal.ai text-to-video system. PROACTIVELY activate for: (1) Kling 2.0/2.5/2.6 Pro video generation, (2) Sora 2 for creative videos, (3) LTX Video with audio, (4) Runway Gen-3 Turbo for fast iteration, (5) Luma Dream Machine, (6) Video duration and aspect ratio, (7) Motion prompt engineering, (8) Camera movement keywords. Provides: Model endpoints, quality tiers, prompt structure, duration options. Ensures cinematic video generation with proper motion description.
testing37
ffmpeg-command-syntax
Complete FFmpeg command syntax reference covering option ordering, input vs output options, stream specifiers, and position-sensitive options. PROACTIVELY activate for: (1) Command syntax questions, (2) Option placement issues, (3) Input vs output option confusion, (4) Stream specifier syntax, (5) -ss/-t/-to position questions, (6) Global vs per-file options, (7) Multiple input/output handling, (8) Option order errors. Provides: Correct option placement rules, input-only vs output-only options, position-sensitive option behavior, stream specifier syntax, common mistakes and fixes.
testing37
ffmpeg-fundamentals-2025
Complete FFmpeg core knowledge system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) Basic transcoding and format conversion, (2) Command syntax questions, (3) Codec selection (H.264, H.265, VVC, AV1, VP9, APV), (4) Quality settings (CRF, bitrate, presets), (5) Video/audio filter chains, (6) Trimming, splitting, concatenating, (7) Resolution scaling and aspect ratios, (8) FFmpeg 8.0 features (Whisper AI, Vulkan codecs, APV, WHIP), (9) Version checking and update guidance. Provides: Command syntax reference, codec comparison tables, filter examples, format conversion recipes, probing commands, Whisper transcription examples, version checking commands. Ensures: Correct FFmpeg usage with 2025 best practices and latest stable version.
development37
fal-image-to-image
Complete fal.ai image-to-image system. PROACTIVELY activate for: (1) FLUX image-to-image transformation, (2) ControlNet (canny, depth, pose), (3) Inpainting with masks, (4) Upscaling (ESRGAN, Clarity), (5) Background removal (BiRefNet, RemBG), (6) Face restoration (GFPGAN, CodeFormer), (7) IP-Adapter style transfer, (8) Strength parameter tuning. Provides: Transformation endpoints, mask formats, ControlNet types, upscaling options. Ensures proper image editing and enhancement workflows.
development37
fal-video-to-video
Complete fal.ai video-to-video system. PROACTIVELY activate for: (1) Kling O1 video editing, (2) Sora Remix transformation, (3) Video upscaling, (4) Frame interpolation, (5) Style transfer (anime, painting), (6) Object replacement/removal, (7) Color correction, (8) Video enhancement pipelines. Provides: Edit types (general/style/object), upscaling options, style keywords, enhancement workflows. Ensures consistent video transformation without flickering.
development37
ffmpeg-stabilization-360
Complete FFmpeg video stabilization and 360/VR video processing. PROACTIVELY activate for: (1) Video stabilization (deshake, vidstab), (2) Hardware-accelerated stabilization (deshake_opencl), (3) 360/VR video transforms (v360), (4) Perspective correction (perspective), (5) Ken Burns/zoom-pan effects (zoompan), (6) Lens distortion correction (lenscorrection, lensfun), (7) Action camera footage, (8) Drone video processing, (9) VR headset formats. Provides: Stabilization workflows, 360 projection conversions, motion effects, lens correction.
development37
fal-audio
Complete fal.ai audio system. PROACTIVELY activate for: (1) Whisper speech-to-text, (2) Transcription with timestamps, (3) Translation to English, (4) F5-TTS voice cloning, (5) ElevenLabs premium TTS, (6) Kokoro multi-language TTS, (7) XTTS open-source cloning, (8) Subtitle generation (SRT), (9) Audio file formats. Provides: STT/TTS endpoints, language codes, voice cloning setup, timestamp formatting. Ensures accurate transcription and natural speech synthesis.
development37
ffmpeg-captions-subtitles
Complete subtitle and caption system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) Burning subtitles (hardcoding SRT/ASS/VTT), (2) Adding soft subtitle tracks, (3) Extracting subtitles from video, (4) Subtitle format conversion, (5) Styled captions (font, color, outline, shadow), (6) Subtitle positioning and alignment, (7) CEA-608/708 closed captions, (8) Text overlays with drawtext, (9) Whisper AI automatic transcription (FFmpeg 8.0+ with VAD, multi-language, GPU), (10) Batch subtitle processing. Provides: Format reference tables, styling parameter guide, position alignment charts, Whisper model comparison, VAD configuration, dynamic text examples, accessibility best practices. Ensures: Professional captions with proper styling and accessibility compliance.
development37
ffmpeg-noise-reduction
Complete FFmpeg noise reduction and denoising for video and audio. PROACTIVELY activate for: (1) Video denoising (nlmeans, hqdn3d, vaguedenoiser), (2) Hardware-accelerated denoising (nlmeans_opencl, nlmeans_vulkan), (3) Audio noise reduction (afftdn, anlmdn), (4) Film grain removal, (5) Low-light footage enhancement, (6) Compression artifact removal, (7) Broadcast noise reduction, (8) Clean audio recordings. Provides: Denoising filters, parameter tuning, hardware acceleration, quality/speed tradeoffs.
testing37
ffmpeg-deinterlacing-telecine
Complete FFmpeg deinterlacing, field processing, and telecine removal for broadcast and professional video. PROACTIVELY activate for: (1) Deinterlacing interlaced video (yadif, bwdif, w3fdif), (2) Hardware-accelerated deinterlacing (yadif_cuda, bwdif_cuda, bwdif_vulkan), (3) Inverse telecine/pulldown removal (pullup, fieldmatch), (4) Field order correction (fieldorder), (5) Field separation/weaving (separatefields, weave, tinterlace), (6) Interlace detection (idet), (7) DVD/Blu-ray processing, (8) Broadcast content conversion. Provides: Deinterlacing filters, telecine removal, field processing, hardware acceleration options.
testing37
ffmpeg-video-analysis
Complete FFmpeg video analysis and quality control filters for automation and broadcast workflows. PROACTIVELY activate for: (1) Detecting black frames (blackdetect, blackframe), (2) Finding blurry/frozen frames (blurdetect, freezedetect), (3) Auto crop detection (cropdetect), (4) Scene change detection (scdet), (5) Interlace detection (idet), (6) Quality metrics (PSNR, SSIM, VMAF), (7) Signal analysis (signalstats), (8) Frame information logging (showinfo), (9) QC automation scripts, (10) Broadcast compliance checking. Provides: Detection filters, quality metrics, analysis commands, automation patterns.
tools37
ffmpeg-glitch-distortion-effects
Complete glitch art, datamosh, and video distortion effects system. PROACTIVELY activate for: (1) Datamosh/pixel bleeding effects, (2) VHS/analog glitch simulation, (3) Digital corruption effects, (4) Displacement mapping, (5) Wave/ripple distortions, (6) Pixelation and mosaic effects, (7) Chromatic aberration, (8) Scan line effects, (9) Time-based distortions (echo, trails), (10) Lens distortion and barrel effects. Provides: minterpolate for datamosh, displacement filter, geq pixel manipulation, noise and artifacts, rgbashift/chromashift for color separation, lagfun for trails, tmix for frame blending, tblend for frame difference effects.
data-ai37
ffmpeg-color-grading-chromakey
Complete color manipulation and green screen effects system. PROACTIVELY activate for: (1) Green screen/chromakey removal, (2) Color grading with LUTs, (3) Color correction (levels, curves, white balance), (4) Colorkey/color removal effects, (5) Hue/saturation manipulation, (6) Color space conversions (BT.709, BT.2020, HDR), (7) Color isolation effects, (8) Teal and orange look, (9) Vintage/film looks, (10) Color keying for transparency. Provides: chromakey and colorkey filters, LUT application (lut3d), curves and levels adjustment, color balance, selective color manipulation, color space handling, HDR tone mapping, professional color grading chains.
data-ai37
ffmpeg-streaming
Complete live streaming and protocol system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) RTMP streaming to Twitch/YouTube/Facebook, (2) HLS output and adaptive bitrate (ABR), (3) DASH streaming setup, (4) Low-latency streaming (LL-HLS, LL-DASH), (5) SRT protocol configuration, (6) WebRTC/WHIP sub-second latency (FFmpeg 8.0+), (7) Protocol conversion (RTMP to HLS), (8) Multi-destination streaming, (9) nginx-rtmp integration, (10) Docker streaming services. Provides: Platform-specific stream commands, ABR ladder examples, encryption setup, latency optimization, WHIP authentication, production patterns. Ensures: Reliable live streaming with optimal quality and latency.
development37
ffmpeg-karaoke-animated-text
Complete karaoke subtitle system and advanced animated text effects. PROACTIVELY activate for: (1) Karaoke-style highlighted lyrics, (2) ASS/SSA advanced subtitle styling, (3) Scrolling credits (horizontal/vertical), (4) Typewriter text animation, (5) Bouncing/moving text, (6) Text fade in/out effects, (7) Word-by-word text reveal, (8) Kinetic typography, (9) Lower thirds animation, (10) Countdown timers and dynamic text. Provides: ASS karaoke timing format, drawtext with time expressions, scrolling text patterns, text animation formulas, kinetic typography techniques, subtitle styling reference, multi-line animated text.
development37
ffmpeg-cloudflare-containers
Complete Cloudflare Container FFmpeg system. PROACTIVELY activate for: (1) Cloudflare Containers setup, (2) Native FFmpeg at edge, (3) GPU-accelerated containers, (4) Durable Objects integration, (5) R2 storage for video files, (6) Container autoscaling, (7) Streaming large files, (8) Workers + Containers architecture, (9) Live streaming relay at edge, (10) Container vs Workers comparison. Provides: Dockerfile examples, Worker code, container configuration, GPU setup, R2 integration, production patterns. Ensures: Native FFmpeg performance at Cloudflare edge with full GPU support.
development37
ffmpeg-opencv-integration
Complete FFmpeg + OpenCV + Python integration guide for video processing pipelines. PROACTIVELY activate for: (1) FFmpeg to OpenCV frame handoff, (2) cv2.VideoCapture vs ffmpeg subprocess, (3) BGR/RGB color format conversion gotchas, (4) Frame dimension order img[y,x] vs img[x,y], (5) ffmpegcv GPU-accelerated video I/O, (6) VidGear multi-threaded streaming, (7) Decord batch video loading for ML, (8) PyAV frame-level processing, (9) Audio stream preservation with video filters, (10) Memory-efficient frame generators, (11) OpenCV + FFmpeg + Modal parallel processing, (12) Pipe frames between FFmpeg and OpenCV. Provides: Color format conversion patterns, coordinate system gotchas, library selection guide, memory management, subprocess pipe patterns, GPU-accelerated alternatives to cv2.VideoCapture. Ensures: Correct integration between FFmpeg and OpenCV without color/coordinate bugs. See also: ffmpeg-python-integration-reference for type-safe parameter mappings.
development37
ffmpeg-docker-containers
Complete Docker FFmpeg deployment system. PROACTIVELY activate for: (1) Docker FFmpeg image selection (jrottenberg, linuxserver), (2) GPU passthrough (NVIDIA, Intel, AMD), (3) Volume mounting and permissions, (4) Docker Compose video processing, (5) Kubernetes FFmpeg jobs, (6) Custom Dockerfile builds, (7) Windows/Linux/macOS Docker usage, (8) Resource limits and optimization, (9) Watch folder automation, (10) Production container patterns. Provides: Image comparison tables, GPU Docker commands, Compose examples, K8s manifests, troubleshooting guides. Ensures: Consistent, isolated FFmpeg environments across platforms.
tools37
ffmpeg-python-integration-reference
Authoritative Python-FFmpeg parameter integration reference ensuring type safety, accurate parameter mappings, and proper unit conversions. PROACTIVELY activate for: (1) ffmpeg-python library usage, (2) Python subprocess FFmpeg calls, (3) Caption/subtitle parameter mapping (drawtext, ASS), (4) Color format conversions (BGR, RGB, ABGR, ASS &HAABBGGRR), (5) Time unit conversions (seconds, centiseconds, milliseconds), (6) Type safety validation (int, float, string), (7) Coordinate systems, (8) Parameter range enforcement, (9) Frame pipe handling, (10) Error detection for type mismatches. Provides: Complete parameter type reference, color format conversion tables, time unit conversion formulas, validation patterns, working Python examples with proper typing.
development37
ffmpeg-modal-containers
Complete Modal.com FFmpeg deployment system for serverless video processing. PROACTIVELY activate for: (1) Modal.com FFmpeg container setup, (2) GPU-accelerated video encoding on Modal (NVIDIA, NVENC), (3) Parallel video processing with Modal map/starmap, (4) Volume mounting for large video files, (5) CPU vs GPU container cost optimization, (6) apt_install/pip_install for FFmpeg, (7) Python subprocess FFmpeg patterns, (8) Batch video transcoding at scale, (9) Modal pricing for video workloads, (10) Audio/video processing with Whisper. Provides: Image configuration examples, GPU container patterns, parallel processing code, volume usage, cost comparisons, production-ready FFmpeg deployments. Ensures: Efficient, scalable video processing on Modal serverless infrastructure.
development37
ffmpeg-pyav-integration
Complete PyAV (Python FFmpeg bindings) integration guide. PROACTIVELY activate for: (1) PyAV installation on Ubuntu/Windows/macOS, (2) Building PyAV against custom FFmpeg, (3) FFmpeg 7.0/8.0+ compatibility, (4) av.open() video/audio decoding, (5) VideoFrame/AudioFrame NumPy conversion, (6) Filter graph processing, (7) Video encoding with H.264/H.265/AV1, (8) Seeking and keyframe extraction, (9) RTSP/network streaming with PyAV, (10) Memory management and thread safety, (11) Error handling with FFmpegError, (12) Subtitle extraction, (13) Container manipulation and remuxing, (14) Performance optimization and threading. Provides: Complete PyAV API patterns, installation guides for all Ubuntu versions, FFmpeg 8.0+ compatibility matrix, type-safe examples, memory management best practices, filter graph examples, encoding/decoding patterns.
development37
ffmpeg-waveforms-visualization
Complete audio visualization system. PROACTIVELY activate for: (1) Animated waveforms (showwaves), (2) Static waveform images (showwavespic), (3) Spectrum analyzers (showspectrum), (4) Frequency bar visualizations (showfreqs), (5) Stereo vectorscope (avectorscope), (6) Musical note display (showcqt), (7) SoundCloud-style waveforms, (8) Music video visualizers, (9) Podcast waveform videos, (10) Combined visualization dashboards. Provides: Filter parameter tables, color scheme options, scale comparisons, template commands for music videos and podcasts. Ensures: Professional audio visualizations for content creation.
devops37
ffmpeg-kinetic-captions
Expert kinetic typography and animated caption system for viral video. PROACTIVELY activate for: (1) Kinetic captions with word-grow highlighting, (2) Karaoke-style progressive fill with scale animation, (3) Word bounce/pop effects (CapCut-style), (4) Spring physics text animation, (5) Shake/tremor emphasis effects, (6) Typewriter character reveal, (7) Multi-color karaoke transitions, (8) Elastic overshoot animations, (9) Word-by-word caption reveal, (10) TikTok/Shorts/Reels viral caption styles, (11) Kinetic typography for music videos, (12) Impact text slam effects, (13) Breathing/pulse text animation, (14) Color sweep highlighting, (15) Animated lower thirds. Provides: Complete ASS animation tag reference, word-grow karaoke formulas, spring physics parameters, platform-specific timing profiles, Python generation scripts, production-ready templates, and viral caption best practices for 2025-2026.
development37
context-master
Universal context management and planning system. PROACTIVELY activate for: (1) ANY complex task requiring planning, (2) Multi-file projects/websites/apps, (3) Architecture decisions, (4) Research tasks, (5) Refactoring, (6) Long coding sessions, (7) Tasks with 3+ sequential steps. Provides: optimal file creation order, context-efficient workflows, extended-thinking delegation (~23x context efficiency), passive deep-analysis architecture, progressive task decomposition. Environment-agnostic — works for Web, API, and Claude Code CLI.
tools37