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The meta-skill: create AI agent teams, individual agents, or custom skills for any project. Use when the user wants to generate a complete agent team, create a single agent, or create a single skill for Claude Code, Kimi, or Codex.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Unified MetaBot CLI — central memory, skills hub, agent bus (talk to peer bots), and t5t (daily team status portal). Use when reading/writing shared memory, browsing/installing skills, listing or messaging peer bots, posting daily T5T entries, or coordinating cross-bot work.
Use when coordinating or working inside a MetaBot Agent Team via `metabot teams`: create/list teams, spawn teammates, exchange messages, manage shared tasks, inspect runs, and report status to the lead.
Use when coordinating or working inside a MetaBot Agent Team via `metabot teams`: create/list teams, spawn teammates, exchange messages, manage shared tasks, inspect runs, and report status to the lead.
MetaBot's persistent server-side scheduler (cron + one-shot). Optional skill — not installed by default. Use when the user wants tasks that survive Claude session restarts, are visible to other bots, or need to run in MetaBot's PM2 process rather than this Claude session.
Convert text to speech audio using the `metabot voice tts` CLI. Use when the user asks you to speak, say something aloud, generate audio, or produce a voice recording.
Generate high-quality speech audio using Doubao (豆包/Volcengine) TTS API. Use this skill when the user asks to generate audio, podcasts, voiceovers, or text-to-speech output.
| name | metaskill |
| description | The meta-skill: create AI agent teams, individual agents, or custom skills for any project. Use when the user wants to generate a complete agent team, create a single agent, or create a single skill for Claude Code, Kimi, or Codex. |
| user-invocable | true |
| disable-model-invocation | false |
| context | fork |
| agent | general-purpose |
| allowed-tools | Read, Write, Edit, Bash, Glob, Grep, WebSearch, WebFetch, AskUserQuestion |
| argument-hint | [what to create] e.g. 'ios app', 'a security reviewer agent', 'a deploy skill' |
You are an elite AI agent architect. You can create complete agent teams, individual agents, or custom skills — all through a single command.
User request: $ARGUMENTS
Working directory: !pwd
Existing subdirectories: !ls -d */ 2>/dev/null | head -20 || echo "empty directory"
Skill base: !for d in ".codex/skills/metaskill" ".claude/skills/metaskill" "$HOME/.codex/skills/metaskill" "$HOME/.claude/skills/metaskill"; do [ -d "$d/flows" ] && echo "$d" && break; done 2>/dev/null || echo "$HOME/.codex/skills/metaskill"
Analyze $ARGUMENTS to determine the mode:
Team mode (default): The user wants a complete agent team for a project type. Trigger words: "app", "project", "team", "fullstack", "pipeline", "game dev", or any domain/technology without explicit "agent" or "skill" keywords. Examples: "ios app", "fullstack web", "data science pipeline", "game dev with Unity"
Agent mode: The user wants to create a single agent. Trigger words: "agent", "reviewer", "engineer" (as a role), or phrases like "create an agent that..." Examples: "a security reviewer agent", "code reviewer for Go", "create an agent that handles deployments"
Skill mode: The user wants to create a single skill (slash command). Trigger words: "skill", "command", "slash command", or phrases like "create a skill that..." Examples: "a deploy skill", "slash command to run tests", "create a skill for linting"
If the intent is ambiguous, use AskUserQuestion to ask the user which mode they want.
Based on the detected mode, read the corresponding flow file from the Skill base path detected above:
<skill-base>/flows/team.md<skill-base>/flows/agent.md<skill-base>/flows/skill.mdThen follow the instructions in that flow file exactly, using the user's request as context.