
--- name: git-helper description: Git operations helper: Conventional Commits message generation from staged changes, branch naming and creation, merge vs rebase guidance, stash, cherry-pick, bisect, tags, and conflict resolution. Use when generating commit messages, committing changes, creating branches, resolving conflicts, undoing commits, or investigating history. Do NOT use for code implementation. --- # Git Helper Skill ## Capabilities ### 1. Generate Commit Messages Analyze staged chan
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.
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
Full project audit orchestration - Architecture + Security + Code Quality → consolidated report → optional remediation. Use when user invokes /audit command, for pre-release health checks, when onboarding to an unfamiliar codebase, for periodic project quality reviews, or before/after a major architectural change. Covers scope detection, severity aggregation, report format, health scoring, and remediation routing.
Security best practices covering authentication, input validation, API security, secrets management, data protection, and OWASP Top 10. Use when implementing auth flows, API endpoints, file uploads, or any feature touching passwords, tokens, PII, or sensitive data. Do NOT use for code style reviews or architecture decisions.
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
Create, edit, evaluate, and package agent skills. Use when building a new skill from scratch, improving an existing skill, running evals to test a skill, benchmarking skill performance, optimizing a skill's description for better triggering, reviewing third-party skills for quality, or packaging skills for distribution. Not for using skills or general coding tasks.
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent 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.
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.
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.
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.
--- name: architecture-principles description: Software architecture principles and design patterns: SOLID, layered architecture, Repository/Service/Factory/Strategy patterns, dependency injection, code organization, and anti-patterns to avoid. Use when designing new modules, reviewing architecture, planning complex features, or deciding on folder structure and dependency boundaries. Do NOT use for code quality checks or security audits. --- # Architecture Principles Skill **Purpose**: Define
--- name: architecture-principles description: Software architecture principles and design patterns: SOLID, layered architecture, Repository/Service/Factory/Strategy patterns, dependency injection, code organization, and anti-patterns to avoid. Use when designing new modules, reviewing architecture, planning complex features, or deciding on folder structure and dependency boundaries. Do NOT use for code quality checks or security audits. --- # Architecture Principles Skill **Purpose**: Define
Full project audit orchestration - Architecture + Security + Code Quality → consolidated report → optional remediation. Use when user invokes /audit command, for pre-release health checks, when onboarding to an unfamiliar codebase, for periodic project quality reviews, or before/after a major architectural change. Covers scope detection, severity aggregation, report format, health scoring, and remediation routing.
Code quality standards, code smells catalog, and refactoring patterns. Use when writing new code, reviewing code quality, refactoring existing code, or fixing bugs — to check naming clarity, function size, DRY/SOLID compliance, error handling, and complexity. Do NOT use for security audits or architecture reviews.
Project documentation structure and configured paths. Use when creating or updating docs, locating where plans/reports/issues/architecture docs live, or understanding the documentation layout configured in .cursor/config.json. Do NOT use for code implementation or code review.
Project documentation structure and configured paths. Use when creating or updating docs, locating where plans/reports/issues/architecture docs live, or understanding the documentation layout configured in .cursor/config.json. Do NOT use for code implementation or code review.
Comprehensive GitHub code review with AI-powered swarm coordination
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
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.
Full implementation cycle with planning, testing, review, and auto-fixing. Use when user invokes /orchestrate, for complex tasks requiring planning and breakdown, multi-step implementations, or tasks that need thorough testing and review.
Refactor workflow orchestration - Analyze → Refactor → Verify → Docs. Use when user invokes /refactor command, when code review or senior-reviewer identifies structural problems, when code quality is blocking a new feature, or after adding test coverage to a previously untested module. Covers scoping, agent sequencing, retry logic, and output format.
Refactor workflow orchestration - Analyze → Refactor → Verify → Docs. Use when user invokes /refactor command, when code review or senior-reviewer identifies structural problems, when code quality is blocking a new feature, or after adding test coverage to a previously untested module. Covers scoping, agent sequencing, retry logic, and output format.
Security best practices covering authentication, input validation, API security, secrets management, data protection, and OWASP Top 10. Use when implementing auth flows, API endpoints, file uploads, or any feature touching passwords, tokens, PII, or sensitive data. Do NOT use for code style reviews or architecture decisions.
Simple implementation workflow - code, test, document. Use when user invokes /implement, wants to create code with automatic testing and documentation, or for simple single-purpose tasks that don't need planning.
Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.
15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
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.
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.
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
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.
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.
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
Web browser automation with AI-optimized snapshots for claude-flow agents
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.
CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).
Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.
Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.
Code quality standards, code smells catalog, and refactoring patterns. Use when writing new code, reviewing code quality, refactoring existing code, or fixing bugs — to check naming clarity, function size, DRY/SOLID compliance, error handling, and complexity. Do NOT use for security audits or architecture reviews.
Full implementation cycle with planning, testing, review, and auto-fixing. Use when user invokes /orchestrate, for complex tasks requiring planning and breakdown, multi-step implementations, or tasks that need thorough testing and review.
--- name: git-helper description: Git operations helper: Conventional Commits message generation from staged changes, branch naming and creation, merge vs rebase guidance, stash, cherry-pick, bisect, tags, and conflict resolution. Use when generating commit messages, committing changes, creating branches, resolving conflicts, undoing commits, or investigating history. Do NOT use for code implementation. --- # Git Helper Skill ## Capabilities ### 1. Generate Commit Messages Analyze staged chan
Code review workflow - Review → (optional auto-fix) → Verify. Use when user invokes /review command, before committing, after finishing a feature and before creating a PR, or for a quick sanity check on a specific file or directory.
Simple implementation workflow - code, test, document. Use when user invokes /implement, wants to create code with automatic testing and documentation, or for simple single-purpose tasks that don't need planning.
Code review workflow - Review → (optional auto-fix) → Verify. Use when user invokes /review command, before committing, after finishing a feature and before creating a PR, or for a quick sanity check on a specific file or directory.
Create, edit, evaluate, and package agent skills. Use when building a new skill from scratch, improving an existing skill, running evals to test a skill, benchmarking skill performance, optimizing a skill's description for better triggering, reviewing third-party skills for quality, or packaging skills for distribution. Not for using skills or general coding tasks.
Task tracking and plan management. Used by planner to create plans and persist tasks, by orchestrator to read tasks and update progress, by documenter to create completion reports, and by any agent to log non-critical issues.
Task tracking and plan management. Used by planner to create plans and persist tasks, by orchestrator to read tasks and update progress, by documenter to create completion reports, and by any agent to log non-critical issues.