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Agent Skill · 研究检索

suggest-awesome-github-copilot-skills(suggest awesome GitHub GitHub Copilot skills 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。

suggest-awesome-github-copilot-skills 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,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 629。

总安装 210,120周安装 8,535GitHub Stars 31,713下载 65,960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:suggest-awesome-github-copilot-skills(suggest awesome GitHub GitHub Copilot skills 搜索)
来源仓库:https://github.com/github/awesome-copilot
仓库路径:skills/suggest-awesome-github-copilot-skills
安装命令:
npx skills add https://github.com/github/awesome-copilot --skill suggest-awesome-github-copilot-skills
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 suggest-awesome-github-copilot-skills

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。

suggest-awesome-github-copilot-skills 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。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。通过 npx skills add 命令从指定仓库安装,需结合原始 README 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。

来源仓库内路径:skills/suggest-awesome-github-copilot-skills

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 suggest-awesome…;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

suggest-awesome-github-copilot-skills 怎么安装?

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

suggest-awesome-github-copilot-skills 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。

suggest-awesome-github-copilot-skills 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。

suggest-awesome-github-copilot-skills 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。

suggest-awesome-github-copilot-skills 用的人多吗?

公开数据是累计安装 210,120 次,近一周安装 8,535 次,下载 65,960 次,GitHub 31,713 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。

suggest-awesome-github-copilot-skills 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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 31,713 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
suggest-awesome-github-copilot-skills

suggest awesome GitHub GitHub Copilot skills 搜索 · 本页

210,12031,713调用外部服务未明确未通过

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

Suggest Awesome GitHub Copilot Skills

Analyze current repository context and suggest relevant Agent Skills from the GitHub awesome-copilot repository that are not already available in this repository. Agent Skills are self-contained folders located in the skills folder of the awesome-copilot repository, each containing a SKILL.md file with instructions and optional bundled assets.

Process

  1. Fetch Available Skills: Extract skills list and descriptions from awesome-copilot README.skills.md. Must use #fetch tool.
  2. Scan Local Skills: Discover existing skill folders in .github/skills/ folder
  3. Extract Descriptions: Read front matter from local SKILL.md files to get name and description
  4. Fetch Remote Versions: For each local skill, fetch the corresponding SKILL.md from awesome-copilot repository using raw GitHub URLs (e.g., https://raw.githubusercontent.com/github/awesome-copilot/main/skills/<skill-name>/SKILL.md)
  5. Compare Versions: Compare local skill content with remote versions to identify:

- Skills that are up-to-date (exact match) - Skills that are outdated (content differs) - Key differences in outdated skills (description, instructions, bundled assets)

  1. Analyze Context: Review chat history, repository files, and current project needs
  2. Compare Existing: Check against skills already available in this repository
  3. Match Relevance: Compare available skills against identified patterns and requirements
  4. Present Options: Display relevant skills with descriptions, rationale, and availability status including outdated skills
  5. Validate: Ensure suggested skills would add value not already covered by existing skills
  6. Output: Provide structured table with suggestions, descriptions, and links to both awesome-copilot skills and similar local skills AWAIT user request to proceed with installation or updates of specific skills. DO NOT INSTALL OR UPDATE UNLESS DIRECTED TO DO SO.
  7. Download/Update Assets: For requested skills, automatically:

- Download new skills to .github/skills/ folder, preserving the folder structure - Update outdated skills by replacing with latest version from awesome-copilot - Download both SKILL.md and any bundled assets (scripts, templates, data files) - Do NOT adjust content of the files - Use #fetch tool to download assets, but may use curl using #runInTerminal tool to ensure all content is retrieved - Use #todos tool to track progress

Context Analysis Criteria

🔍 Repository Patterns:

  • Programming languages used (.cs,.js,.py,.ts, etc.)
  • Framework indicators (ASP.NET, React, Azure, Next.js, etc.)
  • Project types (web apps, APIs, libraries, tools, infrastructure)
  • Development workflow requirements (testing, CI/CD, deployment)
  • Infrastructure and cloud providers (Azure, AWS, GCP)

🗨️ Chat History Context:

  • Recent discussions and pain points
  • Feature requests or implementation needs
  • Code review patterns
  • Development workflow requirements
  • Specialized task needs (diagramming, evaluation, deployment)

Output Format

Display analysis results in structured table comparing awesome-copilot skills with existing repository skills:

Awesome-Copilot SkillDescriptionBundled AssetsAlready InstalledSimilar Local SkillSuggestion Rationale
gh-cliGitHub CLI skill for managing repositories and workflowsNone❌ NoNoneWould enhance GitHub workflow automation capabilities
aspireAspire skill for distributed application development9 reference files✅ YesaspireAlready covered by existing Aspire skill
terraform-azurerm-set-diff-analyzerAnalyze Terraform AzureRM provider changesReference files⚠️ Outdatedterraform-azurerm-set-diff-analyzerInstructions updated with new validation patterns - Update recommended

Local Skills Discovery Process

  1. List all folders in .github/skills/ directory
  2. For each folder, read SKILL.md front matter to extract name and description
  3. List any bundled assets within each skill folder
  4. Build comprehensive inventory of existing skills with their capabilities
  5. Use this inventory to avoid suggesting duplicates

Version Comparison Process

  1. For each local skill folder, construct the raw GitHub URL to fetch the remote SKILL.md:

- Pattern: https://raw.githubusercontent.com/github/awesome-copilot/main/skills/<skill-name>/SKILL.md

  1. Fetch the remote version using the #fetch tool
  2. Compare entire file content (including front matter and body)
  3. Identify specific differences:

- Front matter changes (name, description) - Instruction updates (guidelines, examples, best practices) - Bundled asset changes (new, removed, or modified assets)

  1. Document key differences for outdated skills
  2. Calculate similarity to determine if update is needed

Skill Structure Requirements

Based on the Agent Skills specification, each skill is a folder containing:

  • SKILL.md: Main instruction file with front matter (name, description) and detailed instructions
  • Optional bundled assets: Scripts, templates, reference data, and other files referenced from SKILL.md
  • Folder naming: Lowercase with hyphens (e.g., azure-deployment-preflight)
  • Name matching: The name field in SKILL.md front matter must match the folder name

Front Matter Structure

Skills in awesome-copilot use this front matter format in SKILL.md:

---
name: 'skill-name'
description: 'Brief description of what this skill provides and when to use it'
---

Requirements

  • Use fetch tool to get content from awesome-copilot repository skills documentation
  • Use githubRepo tool to get individual skill content for download
  • Scan local file system for existing skills in .github/skills/ directory
  • Read YAML front matter from local SKILL.md files to extract names and descriptions
  • Compare local skills with remote versions to detect outdated skills
  • Compare against existing skills in this repository to avoid duplicates
  • Focus on gaps in current skill library coverage
  • Validate that suggested skills align with repository's purpose and technology stack
  • Provide clear rationale for each suggestion
  • Include links to both awesome-copilot skills and similar local skills
  • Clearly identify outdated skills with specific differences noted
  • Consider bundled asset requirements and compatibility
  • Don't provide any additional information or context beyond the table and the analysis

Icons Reference

  • ✅ Already installed and up-to-date
  • ⚠️ Installed but outdated (update available)
  • ❌ Not installed in repo

Update Handling

When outdated skills are identified:

  1. Include them in the output table with ⚠️ status
  2. Document specific differences in the "Suggestion Rationale" column
  3. Provide recommendation to update with key changes noted
  4. When user requests update, replace entire local skill folder with remote version
  5. Preserve folder location in .github/skills/ directory
  6. Ensure all bundled assets are downloaded alongside the updated SKILL.md

平台分布

Codex

36.96%
按下载量换算24,379

Claude

30.53%
按下载量换算20,138

Cursor

17.22%
按下载量换算11,358

Gemini CLI

8.04%
按下载量换算5,303

安全审计

Gen Agent Trust Hub

通过

Socket

未通过

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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