Agent skills

Skills you can use with AI coding agents, indexed from public GitHub repositories.

Latest Most Popular

weaviate-data-ingestion Upload and process data into local Weaviate collections with support for single objects, batch uploads, and multi-modal content
saskinosie/weaviate-claude-skills 41
performance-analysis Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
wollfoo/claude-setup
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.
wollfoo/claude-setup
prompt-engineering-patterns Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
wollfoo/claude-setup
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.
wollfoo/claude-setup
error-tracking Add Sentry v8 error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers, instrumenting cron jobs, or tracking database performance. ALL ERRORS MUST BE CAPTURED TO SENTRY - no exceptions.
wollfoo/claude-setup
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.
wollfoo/claude-setup
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.
wollfoo/claude-setup
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.
wollfoo/claude-setup
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.
wollfoo/claude-setup
equilateral-agents-refactored Multi-agent orchestration system sử dụng Claude subagents thực tế từ thư mục agents/ cho security reviews, code quality analysis, deployment validation, infrastructure checks. Auto-activates với orchestrator-worker pattern và extended thinking mode.
wollfoo/claude-setup
backend-dev-guidelines Node.js/Express/TypeScript microservices development patterns. Use when working with backend code: routes, controllers, services, repositories, middleware, APIs. Covers: - Layered architecture (routes → controllers → services → repositories) - Express routing and middleware patterns - Prisma database access and ORM best practices - Zod validation and input sanitization - Sentry error tracking integration - BaseController pattern and dependency injection - Async/await patterns and error handling - Testing strategies and performance monitoring
wollfoo/claude-setup
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.
wollfoo/claude-setup
repomix Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
wollfoo/claude-setup
multi-system-sso-authentication Implement enterprise Single Sign-On (SSO) authentication supporting multiple identity providers with JWT RS256 tokens, backwards verification, session management, and cross-system permission mapping. Use this skill when building authentication systems that integrate with multiple enterprise SSO providers or when implementing secure token validation with session verification.
rafaelkamimura/claude-tools 5
brazilian-financial-integration Implement Brazilian financial system integrations including Boleto generation, PIX payments, parcelamento (installments), CPF/CNPJ validation, and Banco do Brasil API integration. Use this skill when building fintech applications, payment processing systems, or any system requiring Brazilian banking compliance.
rafaelkamimura/claude-tools 5
skill-developer Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns, file paths, content patterns), enforcement levels (block, suggest, warn), hook mechanisms (UserPromptSubmit, PreToolUse), session tracking, and the 500-line rule.
rafaelkamimura/claude-tools 5
Async Testing Expert Comprehensive pytest skill for async Python testing with proper mocking, fixtures, and patterns from production-ready test suites. Use when writing or improving async tests for Python applications, especially FastAPI backends with database interactions.
rafaelkamimura/claude-tools 5
fastapi-clean-architecture Build FastAPI applications using Clean Architecture principles with proper layer separation (Domain, Infrastructure, API), dependency injection, repository pattern, and comprehensive testing. Use this skill when designing or implementing Python backend services that require maintainability, testability, and scalability.
rafaelkamimura/claude-tools 5
architecture-pattern-selector Recommend architecture patterns (monolith, microservices, serverless, modular monolith) based on scale, team size, and constraints. Use when cto-architect needs to select the right architectural approach for a new system or migration.
alirezarezvani/claude-cto-team 70
clarification-protocol Generate targeted clarifying questions (2-3 max) that challenge vague requirements and extract missing context. Use after request-analyzer identifies clarification needs, before routing to specialist agents. Helps cto-orchestrator avoid delegating unclear requirements.
alirezarezvani/claude-cto-team 70
delegation-prompt-crafter Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing to specialist agents. Ensures agents receive complete context for effective work.
alirezarezvani/claude-cto-team 70
antipattern-detector Detect common technical and organizational anti-patterns in proposals, architectures, and plans. Use when strategic-cto-mentor needs to identify red flags before they become problems.
alirezarezvani/claude-cto-team 70
tech-stack-recommender Recommend technology stacks based on project requirements, team expertise, and constraints. Use when selecting frameworks, languages, databases, and infrastructure for new projects.
alirezarezvani/claude-cto-team 70