
Evaluate, score, and remediate agent skill collections using a 9-dimension quality framework (Knowledge Delta, Mindset, Anti-Patterns, Specification Compliance, Progressive Disclosure, Freedom Calibration, Pattern Recognition, Practical Usability, Eval Validation). Performs duplication detection, generates remediation plans with T-shirt sizing, enforces CI quality gates, validates artifact conventions, tracks score trends, and ensures tessl registry compliance. Use when evaluating skill quality, auditing SKILL.md files, scoring agent skills, generating remediation plans, detecting duplicate skills, validating skill format, enforcing quality gates, optimizing for A-grade publication, comparing audit baselines, batch skill assessments, or checking tessl compliance. Triggers: 'check my skills', 'skill audit', 'improve my SKILL.md', 'quality check', 'A-grade scoring', 'quality gates', 'eval validation', 'audit all skills', 'remediation plan', 'skill judge', 'dimension scoring'.
A skill using a flat layout with all files at the root level.
Creates .gitlab-ci.yml files, configures pipeline stages, defines CI jobs and runners, sets up deployment workflows, and generates reusable GitLab CI/CD templates following current best practices and security standards. Use when users ask to create or build a GitLab CI/CD pipeline, CI config, build pipeline, deploy pipeline, GitLab YAML, CI jobs, or any .gitlab-ci.yml configuration from scratch or for a new project.
Comprehensive toolkit for generating best practice Helm charts and resources following current standards and conventions. Use this skill when creating new Helm charts, implementing Helm templates, scaffolding Chart.yaml and values.yaml, defining deployment templates, service definitions, ingress configurations, .tpl helpers, or building Helm projects from scratch. Trigger phrases include "create", "generate", "build", "scaffold" alongside terms like "kubernetes helm", "k8s charts", "helm package", "chart dependencies", "values.yaml", or "helm install".
Review a proposed Agent Skill for structural validity and content quality before publishing. Runs the skill-validator CLI to check for structural issues, scores the skill with an LLM judge, and interprets results to advise authors on what to address. Use when a user wants to review, validate, or quality-check an Agent Skill.
Validates .gitlab-ci.yml syntax, detects security misconfigurations in job definitions, checks for deprecated keywords, ensures proper stage ordering, and audits pipeline configurations for best practices. Use when working with .gitlab-ci.yml files, validating GitLab CI/CD pipeline syntax, debugging configuration errors, checking for hardcoded secrets or credentials in pipeline jobs, optimizing pipeline performance with DAG or cache, or performing security audits on GitLab CI/CD configurations.
Generates Jenkinsfiles with stages, agents, parallel builds, post-build actions, and security scanning for Declarative and Scripted pipeline syntaxes. Use when creating a Jenkins pipeline script, Groovy pipeline, or build configuration; implementing CI/CD workflows, continuous integration, or build automation; adding Docker/Kubernetes deployments, matrix builds, parameterized pipelines, or DevSecOps security scanning to a Jenkins setup.
A skill with development directories that require --allow-dirs.
Comprehensive toolkit for validating, linting, testing, and analyzing Helm charts and their rendered Kubernetes resources. Use this skill when working with Helm charts, validating templates, debugging chart issues, working with Custom Resource Definitions (CRDs) that require documentation lookup, or checking Helm best practices.
Comprehensive toolkit for validating, linting, and optimizing bash and shell scripts. Use this skill when working with shell scripts (.sh, .bash), validating script syntax, detecting unquoted variables, checking POSIX compliance, identifying unsafe command substitutions, validating shebang lines, finding security vulnerabilities, or debugging shell script problems.
Comprehensive toolkit for validating, linting, testing, and automating Jenkinsfile pipelines (both Declarative and Scripted). Use this skill when working with Jenkins pipeline files, validating pipeline syntax, checking best practices, debugging pipeline issues, or working with custom plugins.
Validates syntax, checks pipeline tag connections, detects security misconfigurations, audits best practices, and performs dry-run testing for Fluent Bit configurations. Use this skill when working with Fluent Bit config files, validating syntax, checking for best practices, identifying security issues, performing dry-run testing, or troubleshooting configuration-related errors.
A skill that produces warnings but no errors.
Creates bash scripts with argument parsing, error handling, logging, and input validation following current standards. Use when creating new bash or shell scripts, .sh files, CLI tools, scripting automation, text processing workflows (grep/awk/sed pipelines), or building production-ready command-line utilities. Trigger phrases include 'write a bash script', 'create a shell script', 'generate a .sh file', 'bash command', 'scripting', or 'automate with bash'.
Body with exactly 501 lines, one over the warn boundary.
Body links outside the skill directory using a parent traversal.
Validates, sanitizes, normalizes user inputs before processing. Prevents injection attacks, data corruption, runtime errors in production. Enforces schema-driven validation at entry points with explicit rejection policies for malformed payloads.
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A skill that uses only shell and config code blocks for testing contamination.
Query and display available GitHub Copilot AI models with their capabilities, context limits, and features. Use when: "what models are available", "show copilot models", "list github models", "check model capabilities", "switch models". Examples: - user: "What models can I use with GitHub Copilot?" → fetch and display available models - user: "Show me models with vision support" → filter models by capability - user: "Which model has the largest context window?" → compare model specifications - user: "List all GPT-5 models" → filter by model family
A skill with code blocks and imperative instructions for testing content and contamination analysis.
Name is exactly 64 bytes, the valid upper boundary.
A minimal skill for testing
Body with exactly 500 lines, at the no-warn boundary.
Name is 65 bytes, one over the 64-byte limit.
A valid skill for multi-skill testing.
Generates, validates, and optimizes Fluent Bit configurations for production use. Use when creating new Fluent Bit configs, implementing log collection pipelines (INPUT, FILTER, OUTPUT sections), configuring Kubernetes log collection with metadata enrichment, forwarding logs to destinations (Elasticsearch, Loki, S3, Kafka, CloudWatch, OpenTelemetry), building multi-line log parsing, or converting existing logging configurations to Fluent Bit.
automation, automation, automation, automation, automation, automation, automation, automation, automation, automation, automation, automation. Use for CI, CD, build, deploy, release, pipeline, workflow, orchestration.
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Body opens a fenced code block that is never closed.
--- name: broken-frontmatter bad_indent: this line has a tab that breaks YAML parsing --- # Broken Frontmatter Skill This skill has valid content but its YAML frontmatter cannot be parsed. ## Setup Use the CLI to install dependencies. Always validate your configuration. ```bash npm install express ``` ```python from flask import Flask ``` - Step 1: Configure - Step 2: Deploy - Step 3: Verify You must ensure all tests pass. Never skip the validation step. Consider using a `.env` file for
A minimal valid skill.
A well-formed example skill for testing the validator.
Comprehensive toolkit for validating, linting, and testing GitHub Actions workflow files, custom local actions, and public actions. Use this skill when working with GitHub Actions YAML files (.github/workflows/*.yml), validating workflow syntax, testing workflow execution with act, or debugging workflow issues.
Validates, lints, and security-scans Azure DevOps Pipeline configurations (azure-pipelines.yml / azure-pipelines.yaml). Use when working with ADO pipelines, YAML pipeline files, or CI/CD configurations in Azure DevOps — including validating YAML syntax and schema, detecting hardcoded secrets or credentials, checking for deprecated or unpinned task versions, enforcing best practices (caching, timeouts, display names), performing pipeline security audits, or reviewing azure-pipelines.yml before merging. Trigger terms: azure-pipelines.yml, ADO pipeline, Azure Pipelines, YAML pipeline, CI/CD validation, pipeline security scan, DevOps configuration review.
Build authoritative real-time multiplayer servers with Colyseus 0.17+. Use when implementing rooms, schema state sync, client message validation, matchmaking, authentication, reconnection handling, or server-side anti-cheat constraints. Keywords: colyseus, room lifecycle, schema, multiplayer, websocket, matchmaking, onJoin, onLeave, onDrop, allowReconnection.
Query Google NotebookLM notebooks directly for source-grounded, citation-backed answers from your uploaded documents. Includes browser automation, library management, and persistent authentication.
Extract structured data from scientific literature PDFs using AI-powered OCR and LLM analysis. Supports enzyme kinetics, experimental results, and literature review templates. Use when researchers need to parse tables, charts, or text from paper PDFs into Markdown or CSV. Triggers: extract data from PDF, scientific data extraction, parse paper tables, enzyme kinetics extraction, batch PDF extraction, literature data, research data from paper, OCR scientific paper, convert PDF to structured data.
Search Semantic Scholar for academic papers, fetch paper details by ID or DOI, retrieve author profiles, and analyse citation graphs. Preferred over google-scholar-search — uses the official API with no scraping. Triggers: search papers, find papers, semantic scholar, paper details, paper by DOI, paper by ID, author profile, citation analysis, references, literature search, paper discovery.
Sense-making before action. Classify problem using Cynefin triangulation (3 tests + decomposition) to route to the right skill chain. Use when: frame, what approach, how should I start, which skill, where to begin, unsure what to do. NOT for known tasks — just do them.
Safe-to-fail experiment for Complex domain problems where cause-effect is only visible in retrospect. Two-phase: foreground qualify → background probe → sense result. Use when: probe, safe-to-fail, test hypothesis, experiment with hypothesis, Complex domain with hypothesis. NOT for brainstorming (use brainstorm) or known cause-effect (use investigate).
Write pure functions and avoid side effects for predictable, testable code
Use when designing solutions, adding features, or refactoring by applying KISS, YAGNI, and Principle of Least Astonishment to write simple, predictable code.
Write and maintain Behavior-Driven Development tests with Gherkin and Cucumber. Use when defining acceptance scenarios, writing feature files, implementing step definitions, running Three Amigos sessions, or diagnosing BDD test quality issues. Keywords: bdd, gherkin, cucumber, given when then, feature files, step definitions, acceptance criteria, three amigos, example mapping.
Use this skill when managing packages, external dependencies, binaries, or CLI tools in a chezmoi dotfiles repository. Handles adding/updating/removing packages in .chezmoidata/packages.yaml, creating .chezmoiexternals/ organized files, pinning versions with Renovate automation, and selecting the correct package ecosystem (Homebrew, mise, Python, Docker, chezmoi externals).
Expert assistant for chezmoi dotfiles management. Use when the user is managing dotfiles with chezmoi: adding files, creating templates, encrypting secrets, writing run scripts, syncing across machines, or diagnosing why changes aren't applying. Trigger phrases: 'add to chezmoi', 'make a template', 'chezmoi apply', 'encrypt with chezmoi', 'run script on first apply', 'sync dotfiles to new machine', 'chezmoi diff shows unexpected changes', 'source attribute', 'dot_ prefix', 'once_ script'.
Fetches and analyzes GitLab merge request (MR) comments, metadata, and review feedback using authenticated API calls. Capabilities include fetching comment threads, retrieving reviewer feedback, filtering unresolved discussions, and generating MR activity reports. Use when the user asks about GitLab MR comments, code review discussions, review feedback, approval status, troubleshooting review delays, or needs to fetch merge request metadata via the GitLab API.
Analyze collaboration patterns (HOW) and compute metrics from captured sessions. Use when reviewing collaboration quality, analyzing human-AI interaction, computing session metrics. Triggers include "retrospect collab", "collaboration analysis", "session patterns", "how am I collaborating".
Use when user reports an error, bug, or something not working. Search-first troubleshooting with diagnostic phase. Triggers: debug, error, broken, not working, failing, crash, exception.
Search Google Scholar for academic papers and author profiles. Use when discovering papers to triage — by keyword, author, or year range. Returns titles, authors, abstracts, and links. Triggers: search papers, find papers, google scholar, search scholar, find author, author profile, literature search, paper discovery, search academic literature.
Analyze domain insights (WHAT/WHY learned) from captured sessions. Use when reviewing learnings, extracting patterns, analyzing decisions. Triggers include "retrospect domain", "domain analysis", "what did I learn", "session insights".
Review a saved standards document via a one-standard-at-a-time interview. Prompts the user for the file path, parses individual standards, then presents each one for evaluation with concrete options (Accept / Revise / Reject / Defer). Produces a summary report at the end.
Translates project coding standards into concrete linting and formatting tool configurations. Given human-readable conventions (from AGENTS.md, code review guidelines, or team standards), this skill produces ESLint, Prettier, Biome, TypeScript, and other tool configs that enforce them automatically. Covers discovery, mapping, implementation, verification, and CI integration.
Search and analyze biomedical literature from PubMed using the free E-utilities API. Use when researching medical topics, discovering clinical papers, fetching article metadata by PMID, performing deep paper analysis, or downloading open-access PDFs from PubMed Central. Triggers: pubmed search, search biomedical literature, find medical papers, PMID lookup, pubmed metadata, clinical literature search, biomedical research, life sciences papers, PMC download, ncbi search.
Creates a structured, date-stamped context file filed by typology (findings, plans, guides, follow-ups, merge-requests, tickets, decisions, notes, research) with YAML frontmatter. Use when saving a finding, writing a plan, capturing a guide, recording a decision, logging a follow-up, filing a merge-request note, plus ticket write-ups.
Search and download academic papers through Sci-Hub by DOI, title, or keyword. Supports PDF download, metadata extraction, and automatic mirror detection via CrossRef integration. Use when a paper is behind a paywall and you have the DOI or title. Triggers: sci-hub, download paper, fetch paper, academic paper download, paper by DOI, paper access, paywall bypass, retrieve paper, get full text, paper download.
Complete Bun.js ecosystem guidance for runtime APIs, file I/O, package management, testing, SQLite, and security; use proactively when setting up Bun projects, replacing Node.js APIs with Bun-native APIs, writing bun test suites, implementing Bun.serve services, using bun:sqlite with prepared statements, configuring workspaces and lockfiles, hardening shell and SQL boundaries, or optimizing Bun performance and migration workflows.
Generate a project-specific web design reference sheet (docs/design/design-reference.md) and companion enforcement skill for any website codebase. Extracts CSS custom properties, validates against a JSON schema scratchpad, inspects components, and produces a 12-section document covering colours, typography, spacing, layout, borders, shadows, motion, accessibility, dark mode, and Figma sync notes. Use when starting a new project, onboarding a design system, creating a Figma reference sheet, porting design tokens, or auditing existing styles. Triggers on: create a design reference, generate a style guide, document the design tokens, make a brand reference sheet, port design tokens, audit existing styles.
Set up a new Astro Starlight documentation site from scratch. Use when creating a new Starlight project, adding Starlight to an existing Astro project, or configuring core options like sidebar, logo, social links, and page layout.
Configure OpenCode via opencode.json and AGENTS.md with deterministic provider setup, model selection, permission policies, formatter behavior, and environment variable handling; use when editing opencode configuration, setting model/provider defaults, tightening agent permissions, or troubleshooting OpenCode config behavior.
Create and apply custom themes to an Astro Starlight documentation site. Use when customizing colors, typography, or spacing via CSS custom properties, using the Tailwind CSS integration, applying light/dark mode variants, or loading custom fonts.
Ports the visual identity of any live website into a React plus Tailwind CSS project. Extracts colours, typography, spacing, component styles via browser automation, source inspection, curl, wget, DevTools. Writes structured documentation, applies findings as Tailwind v4 CSS tokens, then verifies by visually diffing the original site against the local build. Use when cloning a brand, replicating a design system, matching a reference site, migrating visual identity, copying a style guide, porting a theme from any live URL into a React codebase, matching a client reference design.
Generates and formats git commit messages following the Conventional Commits specification. Use when the user asks for help writing commit messages, formatting git commits, wants to write a commit msg for staged changes, needs to produce a changelog entry, or mentions conventional commits, semantic versioning, or version bumps. Analyzes diffs or change descriptions, selects the correct type/scope, writes an imperative-mood header under 72 characters, and composes optional body and footer sections including breaking-change notation.
Create baseline context from .context/session/in/ folder with manifest-driven organization (run once per project). Use when bootstrapping project context, setting up .context/session/ctx/ snapshot. Triggers include "create context", "bootstrap context", "setup context", "init context".
Resume session from CONTEXT-llm.md. Use when resuming work, loading saved context, continuing a previous session. Triggers include "load context", "resume session", "continue where I left off".
Complete Commander.js CLI framework guidance covering command structure, options, arguments, subcommands, action handlers, version management, and TypeScript integration. Use when: building CLI tools, parsing command-line arguments, implementing subcommands, handling options/flags, creating interactive CLIs, or migrating from other CLI frameworks. Keywords: Commander.js, CLI, command-line, arguments, options, flags, subcommands, action handlers, version, help text, TypeScript, yargs, meow, program, parseAsync, opts, args, variadic, required options, default values, custom help, error handling
Complete Biome toolchain guidance for real repository workflows. Use when users ask to configure biome.json, run lint or format commands, migrate from ESLint or Prettier, tune rule severity, fix formatter drift, or replace mixed ESLint+Prettier pipelines with Biome-only workflows.
Save session to CONTEXT-llm.md with conversation summary. Use when saving work, checkpointing progress, preserving session state. Triggers include "save context", "save session", "checkpoint", "save my progress".
Refine vague, complex, or high-stakes prompts through Socratic dialogue — surfaces hidden assumptions, probes reasoning, and iterates toward clarity before committing to an implementation.
Comprehensive toolkit for validating, linting, and optimizing Makefiles. Use when working with Makefiles (Makefile, makefile, *.mk files), validating build configurations, checking for best practices, identifying security issues, or debugging Makefile problems. Concrete capabilities include detecting missing .PHONY declarations, validating tab indentation in recipes, checking variable expansion safety, identifying hardcoded credentials, and flagging missing prerequisites or syntax errors.
Comprehensive TypeScript guidance covering compiler configuration, advanced types, utility types, type guards, strict mode workflows, and documentation patterns; use when configuring tsconfig, designing complex generics, making illegal states unrepresentable, fixing type errors, or writing testable and maintainable type-safe APIs.
Design code for testability using boundary isolation, dependency injection, and testable architecture patterns. Use when designing test strategies, writing unit tests, improving test coverage, refactoring untestable or hard-to-test code, working with mocking or test doubles, or applying TDD practices.
Apply SOLID principles (SRP, OCP, LSP, ISP, DIP) for tactical class design, method extraction, and interface definition. Use when reviewing class design, refactoring code for maintainability, or designing interfaces and abstractions.
Creates test stacks, analyzes CloudFormation events, and compares actual vs documented update behavior to validate whether resource property changes trigger replacement or in-place updates. Use when: a user wants to test if a CFN property change causes resource replacement; when investigating stack update behavior or "Update requires" documentation accuracy; when validating whether a workaround (e.g. hash-based logical IDs) is actually necessary; when questioning UpdateRequiresReplacement behavior for immutable properties; when empirical evidence is needed before an architectural decision involving CDK or CloudFormation stack updates.
Comprehensive toolkit for validating, linting, testing, and automating Ansible playbooks, roles, and collections. Use this skill when working with Ansible files (.yml, .yaml playbooks, roles, inventories), validating automation code, debugging playbook execution, performing dry-run testing with check mode, or working with custom modules and collections.
Enforce AWS CDK security and compliance controls with cdk-nag. Use when adding rule packs, triaging findings, writing justified suppressions, integrating checks in CI/CD, or preventing insecure infrastructure patterns in CDK stacks.
Construct deep-link URLs for the AWS CloudWatch console — Logs Insights queries, Alarm detail pages, Metrics graphs. Use when encoding log groups, time ranges, query strings, metric dimensions, or opening CloudWatch views in a Playwright browser session. Keywords: CloudWatch deep-link Logs-Insights alarm metrics fragment-encoding *XX-encoding epoch timestamp hash-routing url-construction SPA alarm-detail metric-graph log-group query-string cloudwatch-console.
Compares deployed CloudFormation templates with locally synthesized CDK templates to detect drift, validate changes, and ensure consistency before deployment. Use when the user wants to compare CDK output with a deployed stack, check for infrastructure drift, run a pre-deployment validation, audit IAM or security changes, investigate a failing deployment, or perform a 'cdk diff'-style review. Triggered by phrases like 'compare templates', 'check for drift', 'cfn drift', 'stack comparison', 'infrastructure drift detection', 'safe to deploy', or 'what changed in my CDK stack'.
Inspect pod logs, analyze resource quotas, trace network policies, check deployment rollout status, and run cluster health checks for Kubernetes. Use this skill when diagnosing Kubernetes cluster issues, debugging failing pods, investigating network connectivity problems, analyzing resource usage, troubleshooting deployments, or performing cluster health checks.
Navigate the AWS Console via browser or Playwright MCP — SSO authentication, account selection, region switching, CloudWatch Logs Insights, alarms, metrics. Covers iframe DOM patterns for screenshot capture: scroll, row click, element interaction inside the microConsole iframe. Keywords: Playwright SSO iframe CloudWatch browser-automation screenshot microConsole logs-table__wrapper page.mouse.click frame.evaluate IAM-Identity-Center region cookie-banner sidebar-collapse locator-timeout.
Validates, lints, and secures Dockerfiles by running syntax checking, detecting security vulnerabilities, validating layer ordering, checking for hardcoded secrets, verifying base image tags, and analyzing build optimization. Use when validating Dockerfile syntax, checking security best practices, optimizing image builds, auditing container security, or debugging Dockerfile errors. Applies to all Dockerfile variants (Dockerfile, Dockerfile.prod, Dockerfile.dev, etc.).
Generates production-ready Dockerfiles with multi-stage builds, layer caching, security hardening (non-root users, minimal base images), health checks, and automatic .dockerignore creation. Validates output using devops-skills:dockerfile-validator with iterative error fixing. Use when a user wants to create, generate, write, or build a Dockerfile or docker image, containerize an app, set up a container, or needs a Dockerfile for Node.js, Python, Go, Java, or another language. Also applies when the user says 'containerize my app', 'docker-compose setup', 'container setup', or 'optimize my Docker build'.
Generate Terraform modules, configure providers, define variables and outputs, set up remote state backends, and write production-ready HCL (.tf files) following current standards. Use when creating new Terraform resources, building Terraform projects, writing infrastructure as code (IaC), scaffolding AWS/Azure/GCP cloud infrastructure, working with terraform plan/apply workflows, or structuring multi-environment configurations.
Comprehensive toolkit for generating, validating, and managing Kubernetes YAML resources. Use this skill when creating Kubernetes manifests (Deployments, Services, ConfigMaps, StatefulSets, etc.), working with Custom Resource Definitions (CRDs), or generating production-ready K8s configurations.
Comprehensive toolkit for validating, linting, testing, and automating Terraform configurations and HCL files. Use this skill when working with Terraform files (.tf, .tfvars), validating infrastructure-as-code, debugging Terraform configurations, performing dry-run testing with terraform plan, or working with custom providers and modules.
Comprehensive toolkit for generating best-practice Terragrunt configurations (HCL files) following current standards and conventions. Generates terragrunt.hcl files, root configurations, child modules, stacks, and environment setups; configures remote state backends, dependency blocks, include blocks, feature flags, exclude blocks, and errors blocks; supports DRY Terraform patterns, multi-environment layouts (dev/staging/prod), and OpenTofu engine integration. Use when creating new Terragrunt projects or resources, scaffolding multi-environment infrastructure, implementing DRY Terraform wrapper configurations, setting up terragrunt.hcl files with remote state or provider config, managing module dependencies, or building infrastructure modules with Terragrunt stacks.
Comprehensive toolkit for validating, linting, testing, and automating Terragrunt configurations, HCL files, and Stacks. Use this skill when working with Terragrunt files (.hcl, terragrunt.hcl, terragrunt.stack.hcl), validating infrastructure-as-code, debugging Terragrunt configurations, performing dry-run testing with terragrunt plan, working with Terragrunt Stacks, or working with custom providers and modules.
Generate label matchers, line filters, log aggregations, and metric queries in LogQL (Loki Query Language) following current standards and conventions. Use this skill when creating new LogQL queries, implementing log analysis dashboards, alerting rules, or troubleshooting with Loki.
Create and refine OpenCode agents via guided Q&A. Use when creating an agent file, improving an existing agent, configuring AGENTS.md frontmatter, setting subagent_type, defining allowed-tools, restricting permissions, designing agent routing, writing a system prompt, configuring mode: subagent, setting a permission block, or working with the Task tool delegation pattern. Examples: 'Create an agent for code reviews', 'My agent ignores context', 'Add a database expert subagent', 'Make my agent faster', 'Agent triggers on wrong requests'.
Generate GNU Make build systems that define build targets, configure dependencies, set up phony targets, and implement parallel builds. Use when creating make/Makefile/.mk files, implementing compile rules, or building production-ready build automation for C/C++, Go, Python, and Java projects.
Translates technical content into plain English for non-technical stakeholders by converting jargon into business language, surfacing decisions and impact early, and producing actionable recommendations with clear ownership and timeline. Use when the user asks to simplify technical content, write an executive summary, explain something in layman's terms, rewrite for non-technical audiences, or translate jargon for management or stakeholders. Applies to document types such as technical reports, architecture decision records, incident summaries, risk assessments, and status updates. Distinct from general writing or documentation skills by its focus on audience identification, decision-first structure, and jargon elimination for non-technical readers.
Create OpenCode plugins using the opencode-ai/plugin SDK. Use when user wants to build a plugin, extend OpenCode, intercept tool execution, add custom tools, react to events, create a hook, block commands, add custom auth, or add automation to OpenCode. Also use for 'opencode plugin', 'custom tool', 'tool hook', 'plugin hook', 'logging for all tool calls', 'restrict what commands the AI can run', 'lifecycle hooks', 'middleware', 'tool.execute.before', 'tool.execute.after', 'auth hook', 'chat.params', 'intercept bash commands', 'block file writes', 'add audit logging', 'custom model provider auth', 'inject context before LLM call', 'fire-and-forget background task', 'watch session events'.
Captures an important insight, decision, constraint, pattern, or discovery to persistent memory via the vault CLI — distinct from general note-taking in that entries are tagged, tiered, and retrievable across future sessions. Use when the user says "save this", "remember this", "note for later", "don't forget", or "keep this in mind", or when the conversation produces something worth preserving: architectural decisions, recurring bugs, hard-won constraints, naming conventions, or user preferences.
Fetch a URL, extract its text content, and persist it as a semantic memory tagged with the source URL for future retrieval. Use when the user shares a link to documentation, a GitHub issue, a blog post, or any reference material that should be available across sessions without re-fetching.
Create custom /slash commands for repetitive tasks in OpenCode. Use when user wants to create a command, automate a workflow, make a shortcut, add a slash command, set up automation, create a /test, /review, /deploy, /commit, /fix, /build, /lint, /spellcheck, /migrate, or /ci command. Also use when writing a command file, configuring command frontmatter, using $ARGUMENTS placeholders, setting agent: plan, using subtask: true, injecting shell output with !cmd, referencing files with the at-file syntax in a command template, or choosing between a slash command, agent, and skill.
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.
Search persistent memory for relevant context — including architectural decisions, resolved bugs, and implementation patterns — when the user asks about past decisions, when debugging a recurring issue, when uncertain whether something was already decided, or before re-implementing something that may have been done before. Use when the user says "do you remember…", "what did we decide about…", or "have we solved this before".
Use when responding to questions or providing information requiring professional honesty and directness over excessive agreeableness.
Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page.
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer
Author high-quality Markdown documentation with deterministic structure, lint compliance, and CI integration. Use when writing README files, creating docs pages, fixing markdownlint failures, defining style rules, or wiring markdown checks into pre-commit and pipelines. Keywords: markdown, markdownlint, readme, docs, headings, lists, code fences, links, images, lint config, ci, documentation style.
Audit your Claude Code setup against prompt caching best practices. Checks ordering, tool stability, dynamic content handling, and hook injection patterns. Returns a scored report with specific fixes.
Ensure Tessl plugins meet all requirements for public registry publication with comprehensive validation. Use when publishing skills to public registry, validating .tessl-plugin/plugin.json configuration, creating evaluation scenarios, checking quality thresholds (A-grade >=108/120), or preparing plugins for release. Validates eval scenario coverage, plugin.json fields (name, version, private, description, skills), agent-agnostic compliance, and publication readiness.
Guide technical communication for software developers. Covers email structure, team messaging etiquette, meeting agendas, and adapting messages for technical vs non-technical audiences. Use when drafting professional messages, preparing meeting communications, or improving written communication.
Create structured journal entries with YAML frontmatter, template-based sections, and compliance validation. Use when user asks to 'create journal entry', 'new journal', 'document [topic]', 'journal about [topic]', or needs to create timestamped .md files in YYYY/MM/ directories. Supports five entry types: general journal entries, troubleshooting sessions, learning notes, article summaries, and ticket-refinement sessions. Keywords: journal, documentation, troubleshooting, learning, article-summary, ticket-refinement, refine ticket, YAML frontmatter, template schemas, validation.
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes.
Comprehensive toolkit for validating, optimizing, and understanding Prometheus Query Language (PromQL) queries. Use this skill when working with PromQL queries, prometheus queries, metrics queries, alerting rules, recording rules, or grafana dashboards to check syntax, detect anti-patterns, identify optimization opportunities, and interactively plan queries with users.
Generate PromQL queries for calculating error rates, aggregating metrics across labels, creating histogram percentiles, writing recording rules, and building SLO burn-rate alerts following Prometheus best practices. Use when creating new PromQL queries, implementing monitoring and alerting rules, building observability dashboards, working with Prometheus metrics (counters, gauges, histograms, summaries), or applying RED (Rate, Errors, Duration) and USE (Utilization, Saturation, Errors) monitoring patterns.
Configure and operate Mise for deterministic developer environments. Use when installing runtime/tool versions, defining reusable tasks, managing layered environment variables, migrating from asdf/nvm/pyenv, or debugging mise.toml behavior in CI and local shells. Keywords: mise, mise.toml, tool versions, tasks, env, asdf migration, setup automation, dev environment.
Write clear, testable acceptance criteria for user stories and feature delivery; use when defining done conditions, creating measurable requirements, applying INVEST checks, documenting negative scenarios, and aligning product, engineering, and QA on expected outcomes.
Ready up Jira tickets for refinement by gathering context from linked incidents, populating a YAML template following the project's 'ready for refinement' standard, validating against a JSON schema, and generating a structured markdown document. Use when asked to 'ready up', 'ready a ticket', 'prepare for refinement', or 'write up PROJ-NNN'. Keywords: jira, ticket, refinement, ready, backlog, YAML template, JSON schema, context, conditions of satisfaction, acceptance criteria.
Converts a PRD or requirements document into a structured, phased implementation plan with individual phase files and granular per-task files written to .context/plans/. Also restructures existing monolithic planning documents into digestible, hierarchical directory structures. Creates a root plan index summarising all phases, a numbered phase file per phase, and a numbered task file per task inside each phase directory. Use when the user asks to create an implementation plan, break down a PRD, convert requirements to tasks, structure project phases, generate a roadmap, plan a project in sprints, organise task breakdown, split a monolithic planning doc, or decompose a spec into phases and tasks.
MoSCoW prioritization: categorize requirements into Must Should Could Won't tiers using failure-focused test. Apply for backlog refinement, feature prioritization, sprint planning, release scope decisions, rebalance Must tier, create Won't items with revisit dates, adjudicate stakeholder disagreements, produce decision log. Keywords: prioritization, backlog, refinement, sprint planning, release scope, rebalance, stakeholder, decisions, MVP, scope control.
Splits a large feature branch into smaller, focused pull requests using stacked branches and cherry-pick. Groups commits by concern (infrastructure, application logic, tests, housekeeping), proposes descriptive branch names for user approval, creates stacked branches, and generates What/Why MR titles and descriptions. Use when the user says a PR is too big, asks to split a PR, wants to decompose a branch, or needs to break work into reviewable chunks.
Execute a wave-based plan by spawning parallel agents per wave, enforcing merge gates, and building self-contained per-agent prompts from wave document rows. Use when asked to: run the plan, execute the plan, start the waves, launch agents, execute wave N, run wave execution. Reads a wave document produced by wave-execution-planner.
Integrate Biome into Nx monorepos with deterministic setup, caching, migration from ESLint and Prettier, and plugin-based inferred tasks; use when adding Biome, replacing ESLint/Prettier, tuning cache inputs, or scaling lint and format workflows across projects.
Execute an implementation plan with rigorous checklist-driven verification. Every task is pre-flighted, worked, validated with proof, and checked off. Every phase is validated as a whole. If proof is missing, the agent goes back. Honesty is non-negotiable — broken trust means the plan is not done. Triggers: 'implement this plan', 'execute the plan', 'start working on the plan', 'do the plan', 'carry out the phases', 'run the plan', 'work through the plan', 'carry out this plan', 'begin implementation'. Do NOT use for plans that have not been reviewed — use plan-review first.
Groups plan phases and tasks into dependency-ordered waves for parallel subagent execution via git worktrees. Builds a task dependency DAG, assigns wave numbers via topological sort, emits a living wave document that tracks status as work lands, and updates wave progress when tasks complete. Use when asked to: group tasks into waves, plan parallel execution, schedule worktrees, create a wave breakdown, wave planning, dependency grouping, update wave statuses, parallel subagents, which tasks can run in parallel.
Captures and documents agent findings as verifiable artifacts — screenshots via agent-browser or playwright-mcp, captured logs, and script output. Use when completing investigations, audits, UI changes, infrastructure tasks, or any task where evidence of actions taken must be preserved.
Triage a tool or library into a structured reference summary for the research repo. Use when given a GitHub URL, npm package, PyPI package, or CLI tool name. Creates references/{slug}.md with architecture overview and scope assessment; adds REVIEWED.md entry and REFERENCE_INDEX.md row. Triggers: triage tool, add tool, analyse tool, GitHub project, npm package, PyPI package, library, framework, CLI tool, MCP server, open source project.
Use when structuring Standard Operating Procedures with proper sections, organization, and markdown formatting. Covers SOP anatomy and section organization.
Propose or apply consolidation of episodic memories into semantic ones, combining related episodic captures into higher-level semantic summary notes. Use after a long session or when the user asks to clean up, organise, summarise, merge, or declutter memories, or requests memory cleanup or memory management. Always run --propose first so the user can review before --apply commits changes to the vault.
Triage an academic paper into a structured reference summary for the research repo. Use when given an arxiv ID, arxiv URL, DOI, or paper PDF. Creates references/{slug}.md; adds REVIEWED.md entry and REFERENCE_INDEX.md row. Triggers: triage paper, add paper, analyse paper, review paper, literature review, survey paper, benchmark paper, deep dive paper, arxiv, DOI.
Systematically evaluate scholarly and research work using the ScholarEval framework. Use when assessing academic papers, research proposals, literature reviews, or scholarly writing for quality, rigor, and publication readiness. Triggers: evaluate paper, scholar evaluation, research quality assessment, peer review scoring, publication readiness, academic paper review, rate research quality, ScholarEval.
Reproduce and verify the benchmark claims of a tool or paper already triaged in the research repo. Locates the benchmark harness, runs it, and records verified vs. reported figures in benchmarks/sources/{slug}-repro.md. Triggers: reproduce benchmark, verify claims, run benchmark, check benchmark, benchmark reproduction, verify numbers.
Generates, validates, and refactors production-ready Ansible playbooks, roles, task files, and inventory configurations following current best practices. Use when the user asks to create, build, or generate Ansible automation, YAML playbooks, infrastructure as code, configuration management files, DevOps roles, or .yml files for Ansible — including requests like "create a playbook to...", "build a role for...", "generate an inventory for...", or "set up Ansible to automate...". Automatically validates all output using the devops-skills:ansible-validator skill.
Create publication-quality scientific diagrams using Claude AI with smart iterative refinement. Uses Claude for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
Challenge, push back, play devil's advocate on AI output. Use when: challenge this, are you sure, push back, prove it, what if you're wrong, devil's advocate, stress test, poke holes, second opinion, sanity check, too confident, really?, question this decision. Subcommands: anchor (committed too fast), verify (facts wrong?), framing (wrong problem?), deep (full devil's advocate in separate context).
Integrate Bun runtime into Nx monorepos with deterministic plugin setup, executor configuration, migration from Node.js toolchains, and cache-aware build/test workflows; use when adding the nx-bun plugin, converting projects, or standardizing Bun targets across Nx workspaces.
Given a user-provided set of coding standards (either as direct text input or as a link to a file/URL), systematically review the codebase to identify violations, report findings, and optionally remediate them. The model MUST ask the user for the standards — never guess or assume them.
Master higher-order functions, map/filter/reduce patterns for expressive data transformations
Configure and integrate Vite in Nx monorepos for applications and libraries. Covers vite.config.ts setup, framework plugins, TypeScript path resolution, asset copying, library mode builds, and Vitest integration. Use when: adding Vite to an Nx project, migrating from Webpack, configuring Vitest, fixing tsconfig path resolution, or setting up library mode. Triggers: "add vite", "nx vite", "vite setup", "vite.config.ts", "vitest config", "library mode", "nxViteTsPaths", "copy assets", "vite path aliases", "migrate webpack to vite" Examples: - user: "Add Vite to this Nx app" -> install plugin and configure vite.config.ts - user: "Vitest is failing in Nx" -> fix test config and cache/coverage paths - user: "Path aliases break in Vite" -> add nxViteTsPaths plugin - user: "Set up Vite for my Nx library" -> configure lib mode + dts + externals
Create Nx plugins with custom generators and executors for TypeScript monorepos. Covers plugin scaffolding, Tree API usage, schema-driven options, ExecutorContext API, template generation, project-graph-safe updates, cache-aware outputs, and testable workflows. Use when creating Nx plugins, building custom generators, implementing executors, enforcing conventions, or extending Nx workspace automation.
Configure and optimize Nx monorepo workspaces with deterministic project-graph structure, boundary enforcement, cache-aware pipelines, and affected-command CI workflows; use when designing workspace architecture, tightening dependency rules, or reducing CI cost through Nx task orchestration.
Capture cross-project connections on the fly. Use when you notice a shared pattern, people-bridge, knowledge cascade, narrative amplifier, or flywheel loop linking two projects. Persists structured YAML to a bridges directory. Triggers on: bridge, connects to, feeds into, same pattern as, cross-project link, archetype detection, bidirectional, one-way, active, potential, theoretical.
Apply immutability principles across languages for safer, more predictable code
Apply Clean Architecture principles to define layer boundaries, identify dependency violations, and structure domain vs infrastructure code. Use when designing service boundaries, separating business logic from infrastructure, evaluating hexagonal/onion/ports-and-adapters architecture, structuring module layout, or resolving dependency inversion and circular dependency issues.
Select and apply structural design patterns (Strategy, Factory, Adapter, Observer, etc.) to reduce complexity in class design. Use when evaluating whether a pattern solves a concrete problem, refactoring conditional logic, dealing with too many if/else statements or code smells, resolving inheritance problems, or deciding how to structure classes.
Create and override Astro Starlight UI components. Use when replacing or extending built-in Starlight components (header, footer, sidebar, page title, etc.), adding custom UI alongside existing components, accessing page route data inside a component, or applying overrides conditionally on specific pages.
Build custom tools and plugins using the OpenCode SDK packages. Use when creating custom tools, implementing tool schemas, building plugins, managing OpenCode sessions, using opencode-ai/sdk or opencode-ai/plugin, creating a tool.ts file, writing an execute handler, using tool.schema, ToolContext, createOpencode, plugin hooks, custom auth, automating OpenCode from a script, building a CI tool, or integrating external APIs. Keywords: Zod schema, execute handler, event streaming, session management, abort signal, tool discovery, multiple tools per file, tool factory.
Create and maintain AGENTS.md documentation for simple projects, complex monorepos, deterministic discovery, scoped instruction files, low-token navigation; use when generating AGENTS.md, updating agent docs, standardizing AI-facing project guidance.
Recommend optimal Claude model (haiku/sonnet/opus) for a task. Use when user asks "which model", "pick model", "model for", or before starting costly/complex tasks. Covers tech and non-tech tasks.
Pin session decisions, questions, objections, scope constraints, and corrections to a persistent board that survives context compaction. Use PROACTIVELY when: (1) user approves/rejects a recommendation, (2) user asks a clarifying question about a proposal, (3) user states a scope constraint, (4) user corrects a misunderstanding. Also use when user says pin, track this, mark as approved, board, show pins. Auto-invoke without user asking whenever a decision, question, or constraint is detected.
Generates production-ready Azure DevOps Pipelines (azure-pipelines.yml) following current best practices, security standards, and naming conventions. Use when creating or updating ADO YAML pipelines, configuring build triggers, defining multi-stage deployments, setting up template references, creating variable groups, writing release pipelines, or structuring CI/CD workflows for Azure DevOps Services or Azure DevOps Server. Handles build pipelines, YAML pipelines, Docker container builds, Kubernetes/AKS deployments, language-specific pipelines (.NET, Node.js, Python, Go, Java), and reusable step/job/stage templates. All generated configurations are validated using the devops-skills:azure-pipelines-validator skill before delivery.