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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,...
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
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 knowledg...
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 t...
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
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-learnin...
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
Standards enforced when writing code, creating pull requests, committing changes, or documenting features. CRITICAL - No emoji in developer-facing content (code/docs/PRs/issues/commits) or CLI output. Also defi...
Use quality dependencies freely - default to using existing libraries over reinventing. For Python prefer conda over pip, maintain separate requirements-conda.txt and requirements-pip.txt. Use when adding depen...
Notice and address deprecation warnings immediately in test output, CI/CD logs, and development - read the warning, check migration guides, update code to use recommended APIs, don't suppress warnings. Use when...
Locate scripts, references, and assets bundled with skills. Use when a skill mentions bundled resources (scripts/, references/, assets/ subdirectories) but you cannot immediately find them. Teaches standard ski...
Design colorful CLI output with ANSI colors, syntax highlighting, status indicators, and terminal formatting. Use libraries like rich (Python) or chalk (Node.js). Use when designing CLI output, formatting termi...
Git worktree-based workflow for parallel development with shared context. Incremental commits after logical units, feature branches with nested issue branches, squash-merge to main. Use when creating/managing w...
Write comprehensive test coverage across unit, integration, regression, end-to-end, and manual tests. Watch for deprecation warnings in test output and address them immediately. Use when writing tests, implemen...
Conduct comprehensive news research and generate professional newsletters. Use when user submits topics for news analysis, sentiment tracking, or competitive media coverage research.
Best practices for writing high quality production grade Python code
Manage Temporal workflows: server lifecycle, worker processes, workflow execution, monitoring, and troubleshooting for Python SDK with temporal server start-dev.
Kailash Kaizen - production-ready AI agent framework with signature-based programming, multi-agent coordination, and enterprise features. Use when asking about 'AI agents', 'agent framework', 'BaseAgent', 'mult...
Expert system for integrating Apple Developer APIs including App Store Connect API, App Store Server API, Sign in with Apple REST API, App Store Server Notifications, Advanced Commerce API, and App Intents. Use...
Execute Jira operations including issue retrieval, creation, updates, search, and project management. Use when the user needs to interact with Jira issues, projects, boards, or perform any Jira-related tasks.
Execute Atlassian operations for both Jira and Confluence, including issue management, page retrieval, search, creation, and updates. Use when the user needs to interact with Jira issues, Confluence pages, or a...
Comprehensive guide to Rust automated testing covering unit, integration, and documentation tests. Includes practical patterns for async testing, property-based testing with proptest, mocking strategies using...
"""Best practices and patterns for writing idiomatic Rust code.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.