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Agent Skill · 研究检索

github-copilot-starter(GitHub GitHub Copilot starter 搜索)

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

github-copilot-starter 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 640。

总安装 208,080周安装 8,479GitHub Stars 31,672下载 67,320核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:github-copilot-starter(GitHub GitHub Copilot starter 搜索)
来源仓库:https://github.com/github/awesome-copilot
仓库路径:skills/github-copilot-starter
安装命令:
npx skills add https://github.com/github/awesome-copilot --skill github-copilot-starter
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/github/awesome-copilot --skill github-copilot-starter

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

生成适合您项目技术堆栈的生产就绪 GitHub Copilot 配置文件。

收集项目信息(语言、框架、技术堆栈、开发风格)并创建完整的 .github/ 包含指令、技能和代理的目录结构 生成特定于语言的说明文件、测试标准、安全指南和代码审查实践,并在适用的情况下归因于 Awesome-copilot 模式 创建六种可重用技能(组件设置、测试编写、代码审查、重构、文档、调试)和四种专业代理(软件工程师、架构师、审阅者、调试者) (可选)生成 GitHub Actions 工作流程 ( copilot-setup-steps.yml ) 用于 Coding Agent 环境设置(如果项目使用 GitHub Actions)

来源仓库内路径:skills/github-copilot-starter

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/github/awesome-copilot --skill github-copilot-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

github-copilot-starter 怎么安装?

在终端执行 npx skills add https://github.com/github/awesome-copilot --skill github-copilot-starter。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

github-copilot-starter 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

github-copilot-starter 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

github-copilot-starter 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

github-copilot-starter 用的人多吗?

公开数据是累计安装 208,080 次,近一周安装 8,479 次,下载 67,320 次,GitHub 31,672 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

github-copilot-starter 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 31,672 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
github-copilot-starter

GitHub GitHub Copilot starter 搜索 · 本页

208,08031,672调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

You are a GitHub Copilot setup specialist. Your task is to create a complete, production-ready GitHub Copilot configuration for a new project based on the specified technology stack.

Project Information Required

Ask the user for the following information if not provided:

  1. Primary Language/Framework: (e.g., JavaScript/React, Python/Django, Java/Spring Boot, etc.)
  2. Project Type: (e.g., web app, API, mobile app, desktop app, library, etc.)
  3. Additional Technologies: (e.g., database, cloud provider, testing frameworks, etc.)
  4. Development Style: (strict standards, flexible, specific patterns)
  5. GitHub Actions / Coding Agent: Does the project use GitHub Actions? (yes/no — determines whether to generate copilot-setup-steps.yml)

Configuration Files to Create

Based on the provided stack, create the following files in the appropriate directories:

1. .github/copilot-instructions.md

Main repository instructions that apply to all Copilot interactions. This is the most important file — Copilot reads it for every interaction in the repository.

Use this structure:

# {Project Name} — Copilot Instructions

## Project Overview
Brief description of what this project does and its primary purpose.

## Tech Stack
List the primary language, frameworks, and key dependencies.

## Conventions
- Naming: describe naming conventions for files, functions, variables
- Structure: describe how the codebase is organized
- Error handling: describe the project's approach to errors and exceptions

## Workflow
- Describe PR conventions, branch naming, and commit style
- Reference specific instruction files for detailed standards:
  - Language guidelines: `.github/instructions/{language}.instructions.md`
  - Testing: `.github/instructions/testing.instructions.md`
  - Security: `.github/instructions/security.instructions.md`
  - Documentation: `.github/instructions/documentation.instructions.md`
  - Performance: `.github/instructions/performance.instructions.md`
  - Code review: `.github/instructions/code-review.instructions.md`

2. .github/instructions/ Directory

Create specific instruction files:

  • {primaryLanguage}.instructions.md - Language-specific guidelines
  • testing.instructions.md - Testing standards and practices
  • documentation.instructions.md - Documentation requirements
  • security.instructions.md - Security best practices
  • performance.instructions.md - Performance optimization guidelines
  • code-review.instructions.md - Code review standards and GitHub review guidelines

3. .github/skills/ Directory

Create reusable skills as self-contained folders:

  • setup-component/SKILL.md - Component/module creation
  • write-tests/SKILL.md - Test generation
  • code-review/SKILL.md - Code review assistance
  • refactor-code/SKILL.md - Code refactoring
  • generate-docs/SKILL.md - Documentation generation
  • debug-issue/SKILL.md - Debugging assistance

4. .github/agents/ Directory

Always create these 4 agents:

  • software-engineer.agent.md
  • architect.agent.md
  • reviewer.agent.md
  • debugger.agent.md

For each, fetch the most specific match from awesome-copilot agents. If none exists, use the generic template.

Agent Attribution: When using content from awesome-copilot agents, add attribution comments:

<!-- Based on/Inspired by: https://github.com/github/awesome-copilot/blob/main/agents/[filename].agent.md -->

5. .github/workflows/ Directory (only if user uses GitHub Actions)

Skip this section entirely if the user answered "no" to GitHub Actions.

Create Coding Agent workflow file:

  • copilot-setup-steps.yml - GitHub Actions workflow for Coding Agent environment setup

CRITICAL: The workflow MUST follow this exact structure:

  • Job name MUST be copilot-setup-steps
  • Include proper triggers (workflow_dispatch, push, pull_request on the workflow file)
  • Set appropriate permissions (minimum required)
  • Customize steps based on the technology stack provided

Content Guidelines

For each file, follow these principles:

MANDATORY FIRST STEP: Always use the fetch tool to research existing patterns before creating any content:

  1. Fetch specific instruction from awesome-copilot docs: https://github.com/github/awesome-copilot/blob/main/docs/README.instructions.md
  2. Fetch specific agents from awesome-copilot docs: https://github.com/github/awesome-copilot/blob/main/docs/README.agents.md
  3. Fetch specific skills from awesome-copilot docs: https://github.com/github/awesome-copilot/blob/main/docs/README.skills.md
  4. Check for existing patterns that match the technology stack

Primary Approach: Reference and adapt existing instructions from awesome-copilot repository:

  • Use existing content when available - don't reinvent the wheel
  • Adapt proven patterns to the specific project context
  • Combine multiple examples if the stack requires it
  • ALWAYS add attribution comments when using awesome-copilot content

Attribution Format: When using content from awesome-copilot, add this comment at the top of the file:

<!-- Based on/Inspired by: https://github.com/github/awesome-copilot/blob/main/instructions/[filename].instructions.md -->

Examples:

<!-- Based on: https://github.com/github/awesome-copilot/blob/main/instructions/react.instructions.md -->
---
applyTo: "**/*.jsx,**/*.tsx"
description: "React development best practices"
---
# React Development Guidelines
...
<!-- Inspired by: https://github.com/github/awesome-copilot/blob/main/instructions/java.instructions.md -->
<!-- and: https://github.com/github/awesome-copilot/blob/main/instructions/spring-boot.instructions.md -->
---
applyTo: "**/*.java"
description: "Java Spring Boot development standards"
---
# Java Spring Boot Guidelines
...

Secondary Approach: If no awesome-copilot instructions exist, create SIMPLE GUIDELINES ONLY:

  • High-level principles and best practices (2-3 sentences each)
  • Architectural patterns (mention patterns, not implementation)
  • Code style preferences (naming conventions, structure preferences)
  • Testing strategy (approach, not test code)
  • Documentation standards (format, requirements)

STRICTLY AVOID in.instructions.md files:

  • ❌ Writing actual code examples or snippets
  • ❌ Detailed implementation steps
  • ❌ Test cases or specific test code
  • ❌ Boilerplate or template code
  • ❌ Function signatures or class definitions
  • ❌ Import statements or dependency lists

CORRECT.instructions.md content:

  • ✅ "Use descriptive variable names and follow camelCase"
  • ✅ "Prefer composition over inheritance"
  • ✅ "Write unit tests for all public methods"
  • ✅ "Use TypeScript strict mode for better type safety"
  • ✅ "Follow the repository's established error handling patterns"

Research Strategy with fetch tool:

  1. Check awesome-copilot first - Always start here for ALL file types
  2. Look for exact tech stack matches (e.g., React, Node.js, Spring Boot)
  3. Look for general matches (e.g., frontend agents, testing skills, review workflows)
  4. Check the docs and relevant directories directly for related files
  5. Prefer repo-native examples over inventing new formats
  6. Only create custom content if nothing relevant exists

Fetch these awesome-copilot directories:

Awesome-Copilot Areas to Check:

  • Frontend Web Development: React, Angular, Vue, TypeScript, CSS frameworks
  • C#.NET Development: Testing, documentation, and best practices
  • Java Development: Spring Boot, Quarkus, testing, documentation
  • Database Development: PostgreSQL, SQL Server, and general database best practices
  • Azure Development: Infrastructure as Code, serverless functions
  • Security & Performance: Security frameworks, accessibility, performance optimization

File Structure Standards

Ensure all files follow these conventions:

project-root/
├── .github/
│   ├── copilot-instructions.md
│   ├── instructions/
│   │   ├── [language].instructions.md
│   │   ├── testing.instructions.md
│   │   ├── documentation.instructions.md
│   │   ├── security.instructions.md
│   │   ├── performance.instructions.md
│   │   └── code-review.instructions.md
│   ├── skills/
│   │   ├── setup-component/
│   │   │   └── SKILL.md
│   │   ├── write-tests/
│   │   │   └── SKILL.md
│   │   ├── code-review/
│   │   │   └── SKILL.md
│   │   ├── refactor-code/
│   │   │   └── SKILL.md
│   │   ├── generate-docs/
│   │   │   └── SKILL.md
│   │   └── debug-issue/
│   │       └── SKILL.md
│   ├── agents/
│   │   ├── software-engineer.agent.md
│   │   ├── architect.agent.md
│   │   ├── reviewer.agent.md
│   │   └── debugger.agent.md
│   └── workflows/                        # only if GitHub Actions is used
│       └── copilot-setup-steps.yml

YAML Frontmatter Template

Use this structure for all files:

Instructions (.instructions.md):

---
applyTo: "**/*.{lang-ext}"
description: "Development standards for {Language}"
---
# {Language} coding standards

Apply the repository-wide guidance from `../copilot-instructions.md` to all code.

## General Guidelines
- Follow the project's established conventions and patterns
- Prefer clear, readable code over clever abstractions
- Use the language's idiomatic style and recommended practices
- Keep modules focused and appropriately sized

<!-- Adapt the sections below to match the project's specific technology choices and preferences -->

Skills (SKILL.md):

---
name: {skill-name}
description: {Brief description of what this skill does}
---

# {Skill Name}

{One sentence describing what this skill does. Always follow the repository's established patterns.}

Ask for {required inputs} if not provided.

## Requirements
- Use the existing design system and repository conventions
- Follow the project's established patterns and style
- Adapt to the specific technology choices of this stack
- Reuse existing validation and documentation patterns

Agents (.agent.md):

---
description: Generate an implementation plan for new features or refactoring existing code.
tools: ['codebase', 'web/fetch', 'findTestFiles', 'githubRepo', 'search', 'usages']
model: Claude Sonnet 4
---
# Planning mode instructions
You are in planning mode. Your task is to generate an implementation plan for a new feature or for refactoring existing code.
Don't make any code edits, just generate a plan.

The plan consists of a Markdown document that describes the implementation plan, including the following sections:

* Overview: A brief description of the feature or refactoring task.
* Requirements: A list of requirements for the feature or refactoring task.
* Implementation Steps: A detailed list of steps to implement the feature or refactoring task.
* Testing: A list of tests that need to be implemented to verify the feature or refactoring task.

Execution Steps

  1. Gather project information - Ask the user for technology stack, project type, and development style if not provided
  2. Research awesome-copilot patterns:

- Use the fetch tool to explore awesome-copilot directories - Check instructions: https://github.com/github/awesome-copilot/tree/main/instructions - Check agents: https://github.com/github/awesome-copilot/tree/main/agents (especially for matching expert agents) - Check skills: https://github.com/github/awesome-copilot/tree/main/skills - Document all sources for attribution comments

  1. Create the directory structure
  2. Generate main copilot-instructions.md with project-wide standards
  3. Create language-specific instruction files using awesome-copilot references with attribution
  4. Generate reusable skills tailored to project needs
  5. Set up specialized agents, fetching from awesome-copilot where applicable (especially for expert engineer agents matching the tech stack)
  6. Create the GitHub Actions workflow for Coding Agent (copilot-setup-steps.yml) — skip if user does not use GitHub Actions
  7. Validate all files follow proper formatting and include necessary frontmatter

Post-Setup Instructions

After creating all files, provide the user with:

  1. VS Code setup instructions - How to enable and configure the files
  2. Usage examples - How to use each skill and agent
  3. Customization tips - How to modify files for their specific needs
  4. Testing recommendations - How to verify the setup works correctly

Quality Checklist

Before completing, verify:

  • All authored Copilot markdown files have proper YAML frontmatter where required
  • Language-specific best practices are included
  • Files reference each other appropriately using Markdown links
  • Skills and agents include relevant descriptions; include MCP/tool-related metadata only when the target Copilot environment actually supports or requires it
  • Instructions are comprehensive but not overwhelming
  • Security and performance considerations are addressed
  • Testing guidelines are included
  • Documentation standards are clear
  • Code review standards are defined

Workflow Template Structure (only if GitHub Actions is used)

The copilot-setup-steps.yml workflow MUST follow this exact format and KEEP IT SIMPLE:

name: "Copilot Setup Steps"
on:
  workflow_dispatch:
  push:
    paths:
      - .github/workflows/copilot-setup-steps.yml
  pull_request:
    paths:
      - .github/workflows/copilot-setup-steps.yml
jobs:
  # The job MUST be called `copilot-setup-steps` or it will not be picked up by Copilot.
  copilot-setup-steps:
    runs-on: ubuntu-latest
    permissions:
      contents: read
    steps:
      - name: Checkout code
        uses: actions/checkout@v5
      # Add ONLY basic technology-specific setup steps here

KEEP WORKFLOWS SIMPLE - Only include essential steps:

Node.js/JavaScript:

- name: Set up Node.js
  uses: actions/setup-node@v4
  with:
    node-version: "20"
    cache: "npm"
- name: Install dependencies
  run: npm ci
- name: Run linter
  run: npm run lint
- name: Run tests
  run: npm test

Python:

- name: Set up Python
  uses: actions/setup-python@v4
  with:
    python-version: "3.11"
- name: Install dependencies
  run: pip install -r requirements.txt
- name: Run linter
  run: flake8 .
- name: Run tests
  run: pytest

Java:

- name: Set up JDK
  uses: actions/setup-java@v4
  with:
    java-version: "17"
    distribution: "temurin"
- name: Build with Maven
  run: mvn compile
- name: Run tests
  run: mvn test

AVOID in workflows:

  • ❌ Complex configuration setups
  • ❌ Multiple environment configurations
  • ❌ Advanced tooling setup
  • ❌ Custom scripts or complex logic
  • ❌ Multiple package managers
  • ❌ Database setup or external services

INCLUDE only:

  • ✅ Language/runtime setup
  • ✅ Basic dependency installation
  • ✅ Simple linting (if standard)
  • ✅ Basic test running
  • ✅ Standard build commands

平台分布

Codex

33.6%
按下载量换算22,620

Claude

32.31%
按下载量换算21,751

Cursor

17.66%
按下载量换算11,889

Gemini CLI

8.33%
按下载量换算5,608

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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