Claude Skills

Hooks Automation provides intelligent pre/post task hooks that automatically coordinate Claude Code operations, validate workflows, and manage agent assignments. It integrates Git, session management, and cross-session memory to maintain development context across tasks. The system also learns from coding patterns through neural training to continuously enhance development workflows.

This skill provides a queen-led multi-agent coordination system for developers building complex collective intelligence applications. It enables sophisticated agent orchestration using consensus mechanisms and persistent memory. Use it when you need to coordinate multiple specialized agents on complex tasks requiring strategic planning and shared state.

This GitHub workflow automation skill enables developers to create intelligent CI/CD pipelines and self-organizing GitHub Actions workflows using AI swarm coordination. It provides comprehensive repository management and adaptive workflow orchestration for teams needing advanced automation. Use this skill when you want to implement sophisticated, AI-driven GitHub Actions with automated codebase analysis and workflow generation.

This Claude Skill automates comprehensive GitHub release orchestration using AI swarm coordination. It handles automated versioning, testing, deployment, and rollback management for software releases. Use it when you need intelligent release automation from changelog generation to multi-platform deployment.

This GitHub project management skill enables developers to automate issue tracking, project boards, and sprint planning using AI swarm coordination. It's ideal for teams needing synchronized project management across multiple repositories with automated workflows. The skill requires GitHub CLI access and integrates with Claude Flow or RUV swarm MCP servers.

This skill enables AI-driven coordination and synchronization across multiple GitHub repositories using swarm orchestration. It helps developers manage cross-repository workflows, synchronize packages, and optimize architecture across distributed projects. Use it for organization-wide automation and scalable multi-repo management.

This skill performs comprehensive GitHub PR reviews using a multi-agent swarm with specialized reviewers for security, performance, code quality, testing, and documentation. It coordinates parallel analysis through mesh topology to provide detailed feedback with auto-fix suggestions and merge readiness assessment. Use it when reviewing pull requests, conducting code audits, or ensuring code quality standards before merging.

This Claude Skill orchestrates GitHub releases using AI agent coordination to automate versioning, testing, deployment, and rollback processes. It coordinates specialized agents for semantic versioning, changelog generation, and deployment validation across multiple release strategies. Use it when creating releases, managing deployments, or coordinating version updates in your GitHub workflow.

This Claude Skill orchestrates multi-repository management using AI swarm agents to coordinate changes across related codebases. It handles cross-repo refactoring, dependency management, and synchronized releases while maintaining architectural consistency. Use it when managing microservices, multi-package ecosystems, or coordinating changes across multiple GitHub repositories.

This Claude Skill automates GitHub project management by coordinating multiple agents for issue tracking, sprint planning, and project board synchronization. It handles tasks like issue triage, milestone tracking, and workflow automation using GitHub Projects v2 API. Use it when managing development projects, coordinating team workflows, or automating project management tasks in GitHub.

This Claude Skill automates GitHub Actions workflows using AI agent coordination to handle CI/CD pipeline creation, optimization, and maintenance. It generates workflows, performs security hardening, implements matrix testing, and debugs existing configurations. Use it when building new pipelines, optimizing performance, or establishing automation standards for GitHub Actions.

This skill automates comprehensive GitHub code reviews using AI-powered swarm coordination, enabling multi-agent analysis of pull requests. It performs security and performance analysis while orchestrating specialized review agents to generate intelligent comments. Use it when you need automated PR management with quality gate enforcement beyond traditional static analysis.

The functionality-audit skill validates that generated or modified code actually works by executing it in isolated sandbox environments with realistic inputs. It systematically identifies and debugs issues to ensure the code delivers its intended behavior reliably. Use this skill after code generation to verify functionality is genuine, not just assumed.

Flow Nexus Swarm enables cloud-based deployment and management of AI agent swarms with event-driven workflow automation. It supports multiple swarm topologies and message queue processing for intelligent agent coordination. Use this skill when you need to orchestrate complex multi-agent workflows in a cloud environment.

This Claude Skill provides comprehensive management for the Flow Nexus platform, enabling developers to handle authentication, sandbox environments, and app deployment workflows. It includes capabilities for payment processing, credit management, and gamification features like coding challenges. Use this skill when building applications that require full-stack platform integration with user management and deployment tools.

Flow Nexus Neural enables developers to train and deploy neural networks using distributed E2B sandboxes. It supports multiple architectures including feedforward, LSTM, GAN, and transformer models, with options for custom training or pre-built templates. Use this skill when you need scalable, sandboxed environments for machine learning development and deployment.

This skill orchestrates a complete 12-stage feature development lifecycle using multi-model AI. It handles everything from initial research with Gemini Search to architecture design, Codex prototyping, comprehensive testing, and final documentation. Use this for end-to-end feature development from concept to deployment-ready code.

This skill automatically generates comprehensive code documentation including API docs, README files, and architecture diagrams. It analyzes your codebase to extract structure and dependencies, then produces evidence-based documentation. Use it when you need to quickly create or improve documentation for your projects.

This skill provides comprehensive dependency mapping, analysis, and visualization for software projects across multiple package managers. It extracts dependency trees, detects issues, audits for security vulnerabilities, and generates visual graphs. Use it when you need to understand, analyze, or visualize your project's dependency relationships and security posture.

This skill performs comprehensive PR reviews using a multi-agent swarm with specialized reviewers for security, performance, style, tests, and documentation. It provides detailed feedback with auto-fix suggestions and assesses merge readiness. Use it for automated, in-depth code reviews on pull requests to ensure code quality across multiple dimensions.

This CI/CD skill automates intelligent failure recovery and root cause analysis to achieve 100% test success through automated repair and validation. It receives implementations from Loop 2 and feeds identified failure patterns back to Loop 1 for continuous improvement. Use it for robust CI/CD pipelines that require automated debugging and evidence-based quality validation.

The Cascade Orchestrator skill coordinates complex workflows by chaining multiple micro-skills into cohesive processes. It enables sequential pipelines, parallel execution, and conditional branching, enhanced with multi-model routing and memory persistence. Use it for building sophisticated production workflows that require reliable coordination between different AI models and execution environments.

AgentDB Vector Search enables semantic vector search for intelligent document retrieval, similarity matching, and context-aware querying. It is designed for building RAG systems, semantic search engines, or intelligent knowledge bases. The skill provides high-performance search with HNSW indexing and sub-millisecond latency.

This skill provides performance optimization for AgentDB vector databases through quantization, HNSW indexing, and caching strategies. It enables 4-32x memory reduction and up to 150x faster search speeds while maintaining accuracy. Use it when scaling to millions of vectors or optimizing memory usage and search performance.