菜单
The meta-skill: create AI agent teams, individual agents, or custom skills for any project. Use when the user wants to generate a complete .claude/ agent team, create a single agent, or create a single skill.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/xvirobotics/metaskill --skill metaskill命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| 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 .claude/ agent team, create a single agent, or create a single skill. |
| 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: $ARGUMENTS
Working directory: !pwd
Existing subdirectories: !ls -d */ 2>/dev/null | head -20 || echo "empty directory"
Skill base: !for d in "$HOME/.claude/skills/metaskill" ".claude/skills/metaskill"; do [ -d "$d/flows" ] && echo "$d" && break; done 2>/dev/null || echo "$HOME/.claude/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.
Load the latest model checkpoint, run evaluation on the test set, and generate a metrics report with confusion matrix. Use this after training to assess model performance or to re-evaluate a specific checkpoint.
Generate a comprehensive summary report of the latest experiment including metrics, plots, and comparison with baseline. Use this after training and evaluation to create a shareable experiment summary.
Run the full data science pipeline: validate raw data, preprocess, engineer features, train model, and evaluate. Use this when you want to execute the end-to-end ML pipeline or re-run it after data or code changes.