DNYoussef
93 verified skills279 total stars
micro-skill-creator
Rapidly creates atomic, focused skills optimized with evidence-based prompting, specialist agents, and systematic testing. Each micro-skill does one thing exceptionally well using self-consistency, program-of-thought, and plan-and-solve patterns. Enhanced with agent-creator principles and functionality-audit validation. Perfect for building composable workflow components.
development3
AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
development3
agent-creator
Creates specialized AI agents with optimized system prompts using the official 4-phase SOP methodology from Desktop .claude-flow, combined with evidence-based prompting techniques and Claude Agent SDK implementation. Use this skill when creating production-ready agents for specific domains, workflows, or tasks requiring consistent high-quality performance with deeply embedded domain knowledge.
development3
AgentDB Memory Patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
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cascade-orchestrator
Creates sophisticated workflow cascades coordinating multiple micro-skills with sequential pipelines, parallel execution, conditional branching, and Codex sandbox iteration. Enhanced with multi-model routing (Gemini/Codex), ruv-swarm coordination, memory persistence, and audit-pipeline patterns for production workflows.
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feature-dev-complete
Complete feature development lifecycle from research to deployment. Uses Gemini Search for best practices, architecture design, Codex prototyping, comprehensive testing, and documentation generation. Full 12-stage workflow.
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github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
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intent-analyzer
Advanced intent interpretation system that analyzes user requests using cognitive science principles and extrapolates logical volition. Use when user requests are ambiguous, when deeper understanding would improve response quality, or when helping users clarify what they truly need. Applies probabilistic intent mapping, first principles decomposition, and Socratic clarification to transform vague requests into well-understood goals.
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interactive-planner
Use Claude Code's interactive question tool to gather comprehensive requirements through structured multi-select questions
tools3
Pair Programming
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
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production-readiness
Comprehensive pre-deployment validation ensuring code is production-ready. Runs complete audit pipeline, performance benchmarks, security scan, documentation check, and generates deployment checklist.
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ReasoningBank with AgentDB
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
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ReasoningBank Intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
development3
research-driven-planning
Loop 1 of the Three-Loop Integrated Development System. Research-driven requirements analysis with iterative risk mitigation through 5x pre-mortem cycles using multi-agent consensus. Feeds validated, risk-mitigated plans to parallel-swarm-implementation. Use when starting new features or projects requiring comprehensive planning with <3% failure confidence and evidence-based technology selection.
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sandbox-configurator
Configure Claude Code sandbox security with file system and network isolation boundaries
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Skill Builder
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.
development3
slash-command-encoder
Creates ergonomic slash commands (/command) that provide fast, unambiguous access to micro-skills, cascades, and agents. Enhanced with auto-discovery, intelligent routing, parameter validation, and command chaining. Generates comprehensive command catalogs for all installed skills with multi-model integration.
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stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
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style-audit
Audits code against CI/CD style rules, quality guidelines, and best practices, then rewrites code to meet standards without breaking functionality. Use this skill after functionality validation to ensure code is not just correct but also maintainable, readable, and production-ready. The skill applies linting rules, enforces naming conventions, improves code organization, and refactors for clarity while preserving all behavioral correctness verified by functionality audits.
development3
Swarm Orchestration
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
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theater-detection-audit
Performs comprehensive audits to detect placeholder code, mock data, TODO markers, and incomplete implementations in codebases. Use this skill when you need to find all instances of "theater" in code such as hardcoded mock responses, stub functions, commented-out production logic, or fake data that needs to be replaced with real implementations. The skill systematically identifies these instances, reads their full context, and completes them with production-quality code.
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Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
development3
when-analyzing-performance-use-performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
research3
when-analyzing-skill-gaps-use-skill-gap-analyzer
Analyze skill library to identify coverage gaps, redundant overlaps, optimization opportunities, and provide recommendations for skill portfolio improvement
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.claude/skills/debugging/when-debugging-code-use-debugging-assistant
# Debugging Assistant Skill ## Overview Intelligent debugging workflow that systematically identifies symptoms, performs root cause analysis, generates fixes with explanations, validates solutions, and prevents regressions through comprehensive testing. ## Metadata - **Skill ID:** `when-debugging-code-use-debugging-assistant` - **Category:** Development/Debugging - **Complexity:** HIGH - **Agents Required:** coder, code-analyzer, tester - **Prerequisites:** Access to codebase, error logs, te
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when-developing-ml-models-use-ml-expert
Specialized ML model development, training, and deployment workflow
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when-documenting-code-use-doc-generator
Automated comprehensive code documentation generation with API docs, README files, inline comments, and architecture diagrams
development3
.claude/skills/specialized-tools/when-gathering-requirements-use-interactive-planner
# Interactive Requirements Planning SOP ```yaml metadata: skill_name: when-gathering-requirements-use-interactive-planner version: 1.0.0 category: specialized-tools difficulty: beginner estimated_duration: 15-30 minutes trigger_patterns: - "gather requirements" - "interactive questions" - "requirements gathering" - "clarify requirements" agents: - planner - researcher - system-architect success_criteria: - Requirements gathered - Specification
tools3
when-optimizing-agent-learning-use-reasoningbank-intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement
data-ai3
when-optimizing-prompts-use-prompt-optimization-analyzer
Active diagnostic tool for analyzing prompt quality, detecting anti-patterns, identifying token waste, and providing optimization recommendations
tools3
when-reviewing-github-pr-use-github-code-review
Comprehensive GitHub pull request code review using multi-agent swarm with specialized reviewers for security, performance, style, tests, and documentation. Coordinates security-auditor, perf-analyzer, code-analyzer, tester, and reviewer agents through mesh topology for parallel analysis. Provides detailed feedback with auto-fix suggestions and merge readiness assessment. Use when reviewing PRs, conducting code audits, or ensuring code quality standards before merge.
development3
.claude/skills/platform/when-using-flow-nexus-platform-use-flow-nexus-platform
# Flow Nexus Platform Management SOP ```yaml metadata: skill_name: when-using-flow-nexus-platform-use-flow-nexus-platform version: 1.0.0 category: platform-integration difficulty: intermediate estimated_duration: 30-60 minutes trigger_patterns: - "flow nexus platform" - "manage flow nexus" - "flow nexus authentication" - "deploy to flow nexus" - "flow nexus sandboxes" dependencies: - flow-nexus MCP server - Valid email for registration - Claude Flow
tools3
smart-bug-fix
Intelligent bug fixing workflow combining root cause analysis, multi-model reasoning, Codex auto-fix, and comprehensive testing. Uses RCA agent, Codex iteration, and validation to systematically fix bugs.
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.claude/skills/specialized-tools/when-configuring-sandbox-security-use-sandbox-configurator
# Sandbox Security Configuration SOP ```yaml metadata: skill_name: when-configuring-sandbox-security-use-sandbox-configurator version: 1.0.0 category: specialized-tools difficulty: intermediate estimated_duration: 20-40 minutes trigger_patterns: - "configure sandbox security" - "sandbox isolation" - "file system boundaries" - "sandbox permissions" - "secure sandbox" dependencies: - Claude Code sandbox environment - Admin/root access (if applicable) ag
tools3
when-auditing-code-style-use-style-audit
Code style and conventions audit with auto-fix capabilities for comprehensive style enforcement
development3
.claude/skills/testing/when-testing-code-use-testing-framework
# Testing Framework Skill - Complete SOP ## Metadata - **Skill ID**: when-testing-code-use-testing-framework - **Version**: 1.0.0 - **Category**: Testing - **Complexity**: HIGH - **Agents Required**: tester, coder, code-analyzer - **Estimated Time**: 2-4 hours ## Purpose Implement comprehensive testing infrastructure following industry best practices with proper test strategy, unit tests, integration tests, E2E tests, coverage analysis, and CI/CD integration. ## Trigger Conditions Activate
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when-optimizing-prompts-use-prompt-architect
Comprehensive framework for analyzing, creating, and refining prompts for AI systems using evidence-based techniques
development3
parallel-swarm-implementation
Loop 2 of the Three-Loop Integrated Development System. META-SKILL that dynamically compiles Loop 1 plans into agent+skill execution graphs. Queen Coordinator selects optimal agents from 86-agent registry and assigns skills (when available) or custom instructions. 9-step swarm with theater detection and reality validation. Receives plans from research-driven-planning, feeds to cicd-intelligent-recovery. Use for adaptive, theater-free implementation.
development3
when-reviewing-code-comprehensively-use-code-review-assistant
Comprehensive PR review with multi-agent swarm specialization for security, performance, style, tests, and documentation
development3
when-creating-skill-template-use-skill-builder
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization
development3
when-creating-presentations-use-pptx-generation
Enterprise-grade PowerPoint deck generation using evidence-based prompting, workflow enforcement, constraint-based design
data-ai3
when-analyzing-user-intent-use-intent-analyzer
Advanced intent interpretation system using cognitive science principles and probabilistic intent mapping
testing3
when-validating-code-works-use-functionality-audit
Validates that code actually works through sandbox testing, execution verification, and systematic debugging. Use this skill after code generation or modification to ensure functionality is genuine rather than assumed. The skill creates isolated test environments, executes code with realistic inputs, identifies bugs through systematic analysis, and applies best practices to fix issues without breaking existing functionality.
development3
swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
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.claude/skills/specialized-tools/when-setting-network-security-use-network-security-setup
# Network Security Setup SOP ```yaml metadata: skill_name: when-setting-network-security-use-network-security-setup version: 1.0.0 category: specialized-tools difficulty: intermediate estimated_duration: 25-45 minutes trigger_patterns: - "network security" - "configure network isolation" - "trusted domains" - "firewall rules" - "network access control" dependencies: - Claude Code sandbox - Network configuration access agents: - security-manager
tools3
sparc-methodology
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
development3
sop-code-review
Comprehensive code review workflow coordinating quality, security, performance, and documentation reviewers. 4-hour timeline for thorough multi-agent review.
development3
sop-api-development
Complete REST API development workflow coordinating backend, database, testing, documentation, and DevOps agents. 2-week timeline with TDD approach.
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skill-forge
Advanced skill creation system for Claude Code that combines deep intent analysis, evidence-based prompting principles, and systematic skill engineering. Use when creating new skills or refining existing skills to ensure they are well-structured, follow best practices, and incorporate sophisticated prompt engineering techniques. This skill transforms skill creation from template filling into a strategic design process.
development3
skill-creator-agent
Creates Claude Code skills where each skill is tied to a specialist agent optimized with evidence-based prompting techniques. Use this skill when users need to create reusable skills that leverage specialized agents for consistent high-quality performance. The skill ensures that each created skill spawns an appropriately crafted agent that communicates effectively with the parent Claude Code instance using best practices.
development3
.claude/skills/platform/when-deploying-cloud-swarm-use-flow-nexus-swarm
# Flow Nexus Cloud Swarm Deployment SOP ```yaml metadata: skill_name: when-deploying-cloud-swarm-use-flow-nexus-swarm version: 1.0.0 category: platform-integration difficulty: advanced estimated_duration: 40-70 minutes trigger_patterns: - "deploy cloud swarm" - "flow nexus swarm" - "distributed workflow" - "event-driven agents" - "cloud agent coordination" dependencies: - flow-nexus MCP server - Claude Flow hooks - E2B account (optional) agents:
tools3
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
research3
.claude/skills/ml-training-debugger
# ML Training Debugger **Version**: 1.0.0 **Type**: Agent-based skill with SDK implementation **Domain**: Machine learning training diagnostics ## Description Diagnose machine learning training failures including loss divergence, mode collapse, gradient issues, architecture problems, and optimization failures. This skill spawns a specialist ML debugging agent that systematically analyzes training artifacts to identify root causes and propose evidence-based fixes. Use this skill when encounte
development3
i18n-automation
Automate internationalization and localization workflows for web applications with translation, key generation, and library setup
tools3
Hooks Automation
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
tools3
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
data-ai3
github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
tools3
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
testing3
github-project-management
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
tools3
when-managing-github-projects-use-github-project-management
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning. Coordinates planner, issue-tracker, and project-board-sync agents to automate issue triage, sprint planning, milestone tracking, and project board updates. Integrates with GitHub Projects v2 API for advanced automation, custom fields, and workflow orchestration. Use when managing development projects, coordinating team workflows, or automating project management tasks.
tools3
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
tools3
flow-nexus-platform
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
devops3
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
devops3
code-review-assistant
Comprehensive PR review using multi-agent swarm with specialized reviewers for security, performance, style, tests, and documentation. Provides detailed feedback with auto-fix suggestions and merge readiness assessment.
development3
cicd-intelligent-recovery
Loop 3 of the Three-Loop Integrated Development System. CI/CD automation with intelligent failure recovery, root cause analysis, and comprehensive quality validation. Receives implementation from Loop 2, feeds failure patterns back to Loop 1. Achieves 100% test success through automated repair and theater validation. v2.0.0 with explicit agent SOPs.
tools3
AgentDB Reinforcement Learning Training
--- skill_id: when-training-rl-agents-use-agentdb-learning name: AgentDB Reinforcement Learning Training version: 1.0.0 category: agentdb subcategory: machine-learning trigger_pattern: "when-training-rl-agents" agents: - ml-developer - safla-neural - performance-benchmarker complexity: advanced estimated_duration: 6-10 hours prerequisites: - AgentDB basics - Reinforcement learning fundamentals - Neural network knowledge - Python/TypeScript proficiency outputs: - Trained RL agents
development3
AgentDB Semantic Vector Search
--- skill_id: when-building-semantic-search-use-agentdb-vector-search name: AgentDB Semantic Vector Search version: 1.0.0 category: agentdb subcategory: semantic-search trigger_pattern: "when-building-semantic-search" agents: - ml-developer - backend-dev - tester complexity: intermediate estimated_duration: 6-8 hours prerequisites: - AgentDB basics - Embedding models knowledge - REST API development outputs: - Semantic search engine - Document retrieval system - RAG-ready infra
development3
AgentDB Performance Optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
data-ai3
AgentDB Learning Plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
tools3
AgentDB Advanced Features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
development3
when-detecting-fake-code-use-theater-detection
Detects non-functional "theater" code that appears complete but doesn't actually work. Use this skill to identify code that looks correct in static analysis but fails during execution, preventing fake implementations from reaching production. Scans for suspicious patterns, validates actual functionality, and reports findings with recommendations.
development3
Advanced AgentDB Vector Search Implementation
--- skill_id: when-using-advanced-vector-search-use-agentdb-advanced name: Advanced AgentDB Vector Search Implementation version: 1.0.0 category: agentdb subcategory: distributed-systems trigger_pattern: "when-using-advanced-vector-search" agents: - ml-developer - backend-dev - performance-analyzer complexity: advanced estimated_duration: 8-12 hours prerequisites: - Basic AgentDB knowledge - Vector database concepts - Distributed systems understanding - TypeScript/Node.js proficien
development3
ReasoningBank Adaptive Learning with AgentDB
--- skill_id: when-implementing-adaptive-learning-use-reasoningbank-agentdb name: ReasoningBank Adaptive Learning with AgentDB version: 1.0.0 category: agentdb subcategory: adaptive-learning trigger_pattern: "when-implementing-adaptive-learning" agents: - ml-developer - safla-neural - performance-analyzer complexity: advanced estimated_duration: 8-10 hours prerequisites: - AgentDB advanced features - Reinforcement learning concepts - Neural network understanding outputs: - Reasonin
development3
when-managing-multiple-repos-use-github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration. Coordinates repo-architect, code-analyzer, and coordinator agents across multiple repositories to maintain consistency, propagate changes, manage dependencies, and ensure architectural alignment. Handles monorepo-to-multi-repo migrations, cross-repo refactoring, and synchronized releases. Use when managing microservices, multi-package ecosystems, or coordinating changes across related repositories.
development3
functionality-audit
Validates that code actually works through sandbox testing, execution verification, and systematic debugging. Use this skill after code generation or modification to ensure functionality is genuine rather than assumed. The skill creates isolated test environments, executes code with realistic inputs, identifies bugs through systematic analysis, and applies best practices to fix issues without breaking existing functionality. This ensures code delivers its intended behavior reliably.
development3
when-debugging-ml-training-use-ml-training-debugger
Debug ML training issues and optimize performance including loss divergence, overfitting, and slow convergence
development3
.claude/skills/ml-expert
# ML Expert - Machine Learning Implementation Specialist **Version**: 1.0.0 **Type**: Agent-based skill with SDK implementation **Domain**: Machine learning model implementation, training, and optimization ## Description Implement machine learning solutions including model architectures, training pipelines, optimization strategies, and performance improvements. This skill spawns a specialist ML implementation agent with deep expertise in PyTorch, deep learning architectures, training techniqu
development3
network-security-setup
Configure Claude Code sandbox network isolation with trusted domains, custom access policies, and environment variables
development3
when-profiling-performance-use-performance-profiler
Comprehensive performance profiling, bottleneck detection, and optimization system
tools3
.claude/skills/platform/when-training-neural-networks-use-flow-nexus-neural
# Flow Nexus Neural Network Training SOP ```yaml metadata: skill_name: when-training-neural-networks-use-flow-nexus-neural version: 1.0.0 category: platform-integration difficulty: advanced estimated_duration: 45-90 minutes trigger_patterns: - "train neural network" - "machine learning model" - "distributed training" - "flow nexus neural" - "E2B sandbox training" dependencies: - flow-nexus MCP server - E2B account (optional for cloud) - Claude Flow
tools3
quick-quality-check
Lightning-fast quality check using parallel command execution. Runs theater detection, linting, security scan, and basic tests in parallel for instant feedback on code quality.
development3
pptx-generation
Enterprise-grade PowerPoint deck generation system using evidence-based prompting techniques, workflow enforcement, and constraint-based design. Use when creating professional presentations (board decks, reports, analyses) requiring consistent visual quality, accessibility compliance, and integration of complex data from multiple sources. Implements html2pptx workflow with spatial layout optimization, validation gates, and multi-chat architecture for 30+ slide decks.
development3
prompt-architect
Comprehensive framework for analyzing, creating, and refining prompts for AI systems. Use when creating prompts for Claude, ChatGPT, or other language models, improving existing prompts, or applying evidence-based prompt engineering techniques. Applies structural optimization, self-consistency patterns, and anti-pattern detection to transform prompts into highly effective versions.
development3
when-auditing-security-use-security-analyzer
Comprehensive security auditing across static analysis, dynamic testing, dependency vulnerabilities, secrets detection, and OWASP compliance
testing3
when-releasing-software-use-github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management. Coordinates release-manager, cicd-engineer, tester, and docs-writer agents through hierarchical topology to handle semantic versioning, changelog generation, release notes, deployment validation, and post-release monitoring. Supports multiple release strategies (rolling, blue-green, canary) and automated rollback. Use when creating releases, managing deployments, or coordinating version updates.
testing3
AgentDB Persistent Memory Patterns
--- skill_id: when-implementing-persistent-memory-use-agentdb-memory name: AgentDB Persistent Memory Patterns version: 1.0.0 category: agentdb subcategory: memory-management trigger_pattern: "when-implementing-persistent-memory" agents: - memory-coordinator - swarm-memory-manager - backend-dev complexity: intermediate estimated_duration: 6-8 hours prerequisites: - AgentDB basics - Memory management concepts - Database schema design outputs: - Persistent memory architecture - Sess
development3
when-automating-github-actions-use-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management. Coordinates cicd-engineer, workflow-automation, tester, and security-auditor agents through mesh topology to create, optimize, and maintain GitHub Actions workflows. Handles workflow generation, performance optimization, security hardening, matrix testing strategies, and workflow debugging. Use when building CI/CD pipelines, optimizing existing workflows, or establishing automation standards.
tools3
when-mapping-dependencies-use-dependency-mapper
Comprehensive dependency mapping, analysis, and visualization tool for software projects
tools3
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
data-ai3
when-verifying-quality-use-verification-quality
Comprehensive quality verification and validation through static analysis, dynamic testing, integration validation, and certification gates
testing3
AgentDB Vector Search Optimization
--- skill_id: when-optimizing-vector-search-use-agentdb-optimization name: AgentDB Vector Search Optimization version: 1.0.0 category: agentdb subcategory: performance-optimization trigger_pattern: "when-optimizing-vector-search" agents: - performance-analyzer - ml-developer - backend-dev complexity: intermediate estimated_duration: 5-7 hours prerequisites: - AgentDB basics - Vector search concepts - Performance profiling skills outputs: - Optimized vector database - 4-32x memory
development3
when-managing-token-budget-use-token-budget-advisor
Proactive token budget management tool for assessing usage, analyzing task complexity, generating chunking strategies, and creating execution plans that stay within budget limits
tools3
sop-product-launch
Complete product launch workflow coordinating 15+ specialist agents across research, development, marketing, sales, and operations. Uses sequential and parallel orchestration for 10-week launch timeline.
development3