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Found 4,984 Skills
Audit a skill repository or installed skill collection for global consistency, lifecycle coverage, routing quality, documentation drift, memory writeback coverage, stale future-skill references, broken helper paths, and validation readiness. Use this skill whenever the user asks for a global consistency audit, skill taxonomy review, lifecycle audit, cross-skill routing audit, README or AGENTS inventory consistency check, or maintenance pass over a collection of agent skills.
Use whenever the user wants to build or modify a chat, agent, or tool-calling UI in a React 19 + Tailwind v4 project — especially if the code imports from `@/components/agent-elements/*` or the project has that folder on disk. Triggers: "agent chat", "tool call UI", "streaming chat", "plan approval", "AgentChat", "InputBar", "tool renderer", mentions of Agent Elements, or requests to add a new agent surface with shadcn. Do NOT use for plain chat UIs that don't need tool/plan/approval cards, or for projects already committed to a different agent UI kit.
Use when the user wants to pair PocketClaw, install or upgrade ClawPilot, verify host runtime readiness, and generate a pairing code for OpenClaw, Hermes, or cc-connect Coding Agent hosts. Follow a strict pairing workflow and output the final pairing code on its own line when successful.
Execute Claude Code commands in the telegram_agent project directory. Use when the user wants to work on the telegram agent itself, fix bugs, add features, or modify the bot code. This is a COMMAND HANDLER, not a script executor.
Guide users through installing and setting up `todoing` — the local, git-friendly CLI task manager. Use this when the user asks to install todoing, set up todoing, configure todoing for their project, or wants to start using todoing for task management. Also use this when onboarding AI agents to use todoing — including adding agent instructions to project config files like AGENTS.md or CLAUDE.md.
Initialize, diagnose, or migrate a project into the LLM wiki pattern with AGENTS/CLAUDE instructions, QMD MCP wiring, Claude/Codex hooks, guardrails, and QMD doctor checks. Use when the user asks to set up wiki infrastructure, check if a project needs migration, install wiki hooks, or validate QMD.
Start a repo-local OptimizeSpec self-improvement change. Use when the user wants to create evals, optimize an agent with GEPA, define an agent self-improvement loop, or begin an ASI-first evaluation workflow.
Use to talk to the Discord-backed OpenClaw agent/session; not for archive search.
Install and manage AI agent skills from Python/JS libraries so agents always use up-to-date patterns
Claude Code Command Selection Guide - Automatically recommend and select the right commands, agents, and skills in Claude Code. Use when: (1) user is unsure which command or tool to use, (2) needs to decide which agent/skill best fits the current task, (3) querying usage scenarios for /plan, /tdd, /compact, /loop and other commands, (4) understanding when to invoke planner, code-reviewer, build-error-resolver and other agents, (5) needs command cheat sheet or decision flowchart. Triggers: "which command to use", "which agent", "command selection", "how to use /plan", "when to use /compact", "agent selection guide", "command cheat sheet", "skill recommendation".
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.