Suggest-Awesome-Github-Copilot-Skills
Suggest-Awesome-Github-Copilot-Skills是一款productivity方向的AI技能,核心价值是Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills in this repository, and identi,可用于解决开发者在productivity领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills in this repository, and identi
mkdir -p ./skills/suggest-awesome-github-copilot-skills && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/suggest-awesome-github-copilot-skills/SKILL.md -o ./skills/suggest-awesome-github-copilot-skills/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Suggest Awesome GitHub Copilot Skills
Analyze current repository context and suggest relevant Agent Skills from the [GitHub awesome-copilot repository](https://github.com/github/awesome-copilot/blob/main/docs/README.skills.md) that are not already available in this repository. Agent Skills are self-contained folders located in the [skills](https://github.com/github/awesome-copilot/tree/main/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](https://github.com/github/awesome-copilot/blob/main/docs/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- Skills that are outdated (content differs)
- Key differences in outdated skills (description, instructions, bundled assets)
6. **Analyze Context**: Review chat history, repository files, and current project needs
7. **Compare Existing**: Check against skills already available in this repository
8. **Match Relevance**: Compare available skills against identified patterns and requirements
9. **Present Options**: Display relevant skills with descriptions, rationale, and availability status including outdated skills
10. **Validate**: Ensure suggested skills would add value not already covered by existing skills
11. **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.
12. **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 Skill | Description | Bundled Assets | Already Installed | Similar Local Skill | Suggestion Rationale |
|-----------------------|-------------|----------------|-------------------|---------------------|---------------------|
| [gh-cli](https://github.com/github/awesome-copilot/tree/main/skills/gh-cli) | GitHub CLI skill for managing repositories and workflows | None | ❌ No | None | Would enhance GitHub workflow automation capabilities |
| [aspire](https://github.com/github/awesome-copilot/tree/main/
🎯 Best For
- Claude users
- GitHub Copilot users
- Knowledge workers
- Remote teams
- Professionals
💡 Use Cases
- Using Suggest-Awesome-Github-Copilot-Skills in daily workflow
- Automating repetitive productivity tasks
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Suggest-Awesome-Github-Copilot-Skills to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
How do I install Suggest-Awesome-Github-Copilot-Skills?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/suggest-awesome-github-copilot-skills/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Not reading the full skill
Skills contain important context and edge cases beyond the quick start.