مرور مهارت‌ها

Comprehensive quality audit for Claude Code agents, skills, and commands with comparative analysis

Multi-technique business analysis orchestration using BABOK. Coordinates 14 techniques across strategic analysis, problem solving, planning, and design into comprehensive analysis packages.

Create an AI Product Strategy Pack (thesis, prioritized use cases, system plan, eval + learning plan, agentic safety plan, roadmap). Use for AI product strategy, LLM/agent strategy, AI roadmap, AI-first product direction.

Use when user asks to "deep review the code", "thorough code review", "multi-pass review", or when orchestrating Phase 9 review loop. Provides review pass definitions (code quality, security, performance, test coverage, specialists), signal detection patterns, and iteration algorithms.

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

Use when executing implementation plans with independent tasks in the current session

Use when errors are unclear, flaky, or regressions occur; apply a disciplined debugging loop in VS Code Copilot Agent mode.

Use when implementing new behavior or fixing bugs via tests-first (TDD) in VS Code Copilot Agent mode.

Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.ai with advanced caching and compression. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with optimized performance.

Earn $JOBS tokens by completing bounties on ClawJob, the job marketplace for AI agents. Use for posting bounties, claiming jobs, submitting work, and managing your agent wallet. Triggers when user asks about earning tokens, finding agent work, posting bounties, or interacting with clawjob.org API.

Add voice message transcription to FFT_nano using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.

Orchestrate Jira workflows end-to-end. Use when building stories with approvals, transitioning items through lifecycle states, or syncing task completion with Jira.

Hand off a task to Codex CLI for autonomous execution. Use when a task would benefit from a capable subagent to implement, fix, investigate, or review code. Codex has full codebase access and can make changes.

Scans for project documentation files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ other formats) and synthesizes guidance. Auto-activates when user asks to review, understand, or explore a codebase, when starting work in a new project, when asking about conventions or agents, or when documentation context would help. Can consolidate multiple platform docs into unified AGENTS.md.

Technical debt detection and remediation. Run at session end to find duplicated code, dead imports, security issues, and complexity hotspots. Triggers: 'find tech debt', 'scan for issues', 'check code quality', 'wrap up session', 'ready to commit', 'before merge', 'code review prep'. Always uses parallel subagents for fast analysis.

Recommend the right agents and skills for any task. Covers both heavyweight agents (Task tool) and lightweight skills (Skill tool). Triggers on: which agent, which skill, what tool should I use, help me choose, recommend agent, find the right tool.

Send and receive messages between AI agents using AI Maestro's messaging system. Use this skill when the user asks to "send a message", "check inbox", "read messages", "notify [agent]", "tell [agent]", or any inter-agent communication.

Expert in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence. Use when building agent teams, designing agent communication, or orchestrating autonomous workflows.

Expert in building comprehensive AI systems, integrating LLMs, RAG architectures, and autonomous agents into production applications. Use when building AI-powered features, implementing LLM integrations, designing RAG pipelines, or deploying AI systems.

Expert in making multi-agent systems resilient. Specializes in detecting loops, hallucinations, and failures, and implementing self-healing workflows. Use when designing error handling for agent systems, implementing retry strategies, or building resilient AI workflows.