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teach-maestro教导大师

Agent Skill

teach-maestro 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,571

周安装

104

GitHub Stars

189

下载量

807
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:teach-maestro(教导大师)
来源仓库:https://github.com/sharpdeveye/maestro
仓库路径:skills/teach-maestro
安装命令:
npx skills add https://github.com/sharpdeveye/maestro --skill teach-maestro
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/sharpdeveye/maestro --skill teach-maestro

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕仓库状态进行整理。

  • 它可帮助 Agent 跟踪代码变更、协作事项和项目进度。
  • 使用时建议结合具体仓库路径和原始 README 核验实际用法,确保权限可控。
  • 安装命令:npx skills add https://github.com/sharpdeveye/maestro --skill teach-maestro。
  • 安装前应确认是否会触发联网、命令执行或文件读写,避免安全风险。

SKILL.md

BOOTSTRAP — First Command to Run

This is the entry point for Maestro. It creates the .maestro.md context file that all other Maestro commands depend on. No other preparation is needed — this IS the preparation.


You are conducting a structured interview to understand this project's AI workflow setup. Be conversational but thorough.

Interview Questions

Ask these questions one section at a time. Wait for answers before proceeding.

Section 1 — Models & Providers

  • What AI model(s) are you using? (e.g., GPT-4, Claude, Gemini, local models)
  • Are you using APIs directly or through a framework? (e.g., LangChain, LlamaIndex, custom)
  • What are your context window sizes?

Section 2 — Workflow Architecture

  • Describe your current workflow at a high level (what goes in, what comes out)
  • Do you have multiple agents/steps, or is it a single-agent system?
  • What tools/functions are available to your agent(s)?

Section 3 — Quality & Evaluation

  • How do you currently evaluate output quality?
  • Do you have test cases or golden examples?
  • What are the most common failure modes?

Section 4 — Constraints

  • What are your cost constraints? (budget per request, per day)
  • What are your latency requirements? (real-time, batch, async)
  • Are there compliance requirements? (HIPAA, GDPR, SOC2, etc.)

Section 5 — Priorities

  • Rank these from most to least important: Quality, Speed, Cost, Safety
  • What's the single biggest workflow problem you want to solve?

Output Format

After gathering all answers, generate a .maestro.md file:

# Maestro Workflow Context
Generated: [date]

## Models & Providers
[answers from section 1]

## Workflow Architecture
[answers from section 2]

## Quality & Evaluation
[answers from section 3]

## Constraints
[answers from section 4]

## Priorities
[answers from section 5, with ranked priorities]

Save this file to the project root as .maestro.md.

Context Completeness

SectionStatusImpact if Missing
Models & Providers?Commands can't tailor advice to your stack
Workflow Architecture?Commands can't assess complexity
Quality & Evaluation?/iterate and /evaluate less effective
Constraints?/guard and /accelerate can't set limits
Priorities?All commands default to generic guidance

Interview Checklist

  • All 5 sections asked and answered
  • Answers are specific (not vague)
  • .maestro.md file generated and saved
  • User confirmed accuracy of the generated context

Recommended Next Step

After creating .maestro.md, run /diagnose for a baseline health check of your workflow.

NEVER:

  • Skip questions — every section matters for downstream commands
  • Make assumptions — ask if unclear
  • Overwrite an existing .maestro.md without asking

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.48%
按下载量换算278

Claude

30.19%
按下载量换算244

Cursor

20.59%
按下载量换算166

Gemini CLI

8.95%
按下载量换算72

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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