suggest-awesome-github-copilot-prompts

github/awesome-copilot · updated Apr 8, 2026

$npx skills add https://github.com/github/awesome-copilot --skill suggest-awesome-github-copilot-prompts
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summary

Analyze current repository context and suggest relevant prompt files from the GitHub awesome-copilot repository that are not already available in this repository.

skill.md

Suggest Awesome GitHub Copilot Prompts

Analyze current repository context and suggest relevant prompt files from the GitHub awesome-copilot repository that are not already available in this repository.

Process

  1. Fetch Available Prompts: Extract prompt list and descriptions from awesome-copilot README.prompts.md. Must use #fetch tool.
  2. Scan Local Prompts: Discover existing prompt files in .github/prompts/ folder
  3. Extract Descriptions: Read front matter from local prompt files to get descriptions
  4. Fetch Remote Versions: For each local prompt, fetch the corresponding version from awesome-copilot repository using raw GitHub URLs (e.g., https://raw.githubusercontent.com/github/awesome-copilot/main/prompts/<filename>)
  5. Compare Versions: Compare local prompt content with remote versions to identify:
    • Prompts that are up-to-date (exact match)
    • Prompts that are outdated (content differs)
    • Key differences in outdated prompts (tools, description, content)
  6. Analyze Context: Review chat history, repository files, and current project needs
  7. Compare Existing: Check against prompts already available in this repository
  8. Match Relevance: Compare available prompts against identified patterns and requirements
  9. Present Options: Display relevant prompts with descriptions, rationale, and availability status including outdated prompts
  10. Validate: Ensure suggested prompts would add value not already covered by existing prompts
  11. Output: Provide structured table with suggestions, descriptions, and links to both awesome-copilot prompts and similar local prompts AWAIT user request to proceed with installation or updates of specific prompts. DO NOT INSTALL OR UPDATE UNLESS DIRECTED TO DO SO.
  12. Download/Update Assets: For requested prompts, automatically:
    • Download new prompts to .github/prompts/ folder
    • Update outdated prompts by replacing with latest version from awesome-copilot
    • 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, etc.)
  • Framework indicators (ASP.NET, React, Azure, etc.)
  • Project types (web apps, APIs, libraries, tools)
  • Documentation needs (README, specs, ADRs)

🗨️ Chat History Context:

  • Recent discussions and pain points
  • Feature requests or implementation needs
  • Code review patterns
  • Development workflow requirements

Output Format

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

Awesome-Copilot Prompt Description Already Installed Similar Local Prompt Suggestion Rationale
code-review.prompt.md Automated code review prompts ❌ No None Would enhance development workflow with standardized code review processes
documentation.prompt.md Generate project documentation ✅ Yes create_oo_component_documentation.prompt.md Already covered by existing documentation prompts
debugging.prompt.md Debug assistance prompts ⚠️ Outdated debugging.prompt.md Tools configuration differs: remote uses 'codebase' vs local missing - Update recommended

Local Prompts Discovery Process

  1. List all *.prompt.md files in .github/prompts/ directory
  2. For each discovered file, read front matter to extract description
  3. Build comprehensive inventory of existing prompts
  4. Use this inventory to avoid suggesting duplicates

Version Comparison Process

  1. For each local prompt file, construct the raw GitHub URL to fetch the remote version:
    • Pattern: https://raw.githubusercontent.com/github/awesome-copilot/main/prompts/<filename>
  2. Fetch the remote version using the #fetch tool
  3. Compare entire file content (including front matter and body)
  4. Identify specific differences:
    • Front matter changes (description, tools, mode)
    • Tools array modifications (added, removed, or renamed tools)
    • Content updates (instructions, examples, guidelines)
  5. Document key differences for outdated prompts
  6. Calculate similarity to determine if update is needed

Requirements

  • Use githubRepo tool to get content from awesome-copilot repository prompts folder
  • Scan local file system for existing prompts in .github/prompts/ directory
  • Read YAML front matter from local prompt files to extract descriptions
  • Compare local prompts with remote versions to detect outdated prompts
  • Compare against existing prompts in this repository to avoid duplicates
  • Focus on gaps in current prompt library coverage
  • Validate that suggested prompts align with repository's purpose and standards
  • Provide clear rationale for each suggestion
  • Include links to both awesome-copilot prompts and similar local prompts
  • Clearly identify outdated prompts with specific differences noted
  • 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 prompts 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 file with remote version
  5. Preserve file location in .github/prompts/ directory

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.773 reviews
  • Chaitanya Patil· Dec 28, 2024

    Useful defaults in suggest-awesome-github-copilot-prompts — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Anaya Sethi· Dec 28, 2024

    suggest-awesome-github-copilot-prompts is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Omar Ndlovu· Dec 16, 2024

    Solid pick for teams standardizing on skills: suggest-awesome-github-copilot-prompts is focused, and the summary matches what you get after install.

  • Ava Kim· Dec 16, 2024

    We added suggest-awesome-github-copilot-prompts from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Naina Lopez· Dec 8, 2024

    suggest-awesome-github-copilot-prompts has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Omar Wang· Dec 8, 2024

    suggest-awesome-github-copilot-prompts reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Rahul Santra· Nov 27, 2024

    Registry listing for suggest-awesome-github-copilot-prompts matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Neel Liu· Nov 27, 2024

    Useful defaults in suggest-awesome-github-copilot-prompts — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Piyush G· Nov 19, 2024

    suggest-awesome-github-copilot-prompts has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Neel Thompson· Nov 19, 2024

    Registry listing for suggest-awesome-github-copilot-prompts matched our evaluation — installs cleanly and behaves as described in the markdown.

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