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Found 230 Skills
This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.
Expert MCP (Model Context Protocol) orchestration with n8n workflow automation. Master bidirectional MCP integration, expose n8n workflows as AI agent tools, consume MCP servers in workflows, build agentic systems, orchestrate multi-agent workflows, and create production-ready AI-powered automation pipelines with Claude Code integration.
This skill should be used when creating extensions for Claude Code or OpenCode, including plugins, commands, agents, skills, and custom tools. Covers both platforms with format specifications, best practices, and the ai-eng-system build system.
Bridge between Claude Code and OpenAI Codex CLI - generates AGENTS.md from CLAUDE.md, provides Codex CLI execution helpers, and enables seamless interoperability between both tools
Universal consolidation & audit skill for Claude Code skills. Analyzes project state, detects redundancies, and safely manages skills with backup, confirmations, and rollback capabilities. Never assumes without verifying actual code and usage patterns.
Multi-agent orchestration workflow for deep research: Split a research objective into parallel sub-objectives, run sub-processes using Claude Code non-interactive mode (`claude -p`); prioritize installed skills for network access and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + summary of key conclusions/recommendations". Applicable scenarios: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-agent parallel research/multi-process research".
Analyzes repositories for AI agent development efficiency. Scores 8 aspects (documentation, architecture, testing, type safety, agent instructions, file structure, context optimization, security) with ASCII dashboards. Use when evaluating AI-readiness, preparing codebases for Claude Code, or improving repository structure for AI-assisted development.
Transform conversations and ideas into structured technical specifications. Outputs: User stories, acceptance criteria, technical requirements, edge cases. Use when user wants to document requirements before coding. Triggers: write spec, create user stories, document requirements, /spec
Remote voice via VoiceMode Connect. Use when users want to add voice to Claude Code using their phone or web app, without local STT/TTS setup.
Commit changes from the current Claude Code session to a new branch, push to GitHub, and open a PR. Use when the user wants to save their work as a PR, submit session changes, or create a pull request for what was done in this session.
Blocks destructive git and filesystem commands before execution. Prevents accidental loss of uncommitted work from git checkout --, git reset --hard, rm -rf, and similar destructive operations. Works as a Claude Code PreToolUse hook with fail-open semantics.
Assess platform upgrade readiness for Claude model and CC version changes. Use when evaluating upgrades.