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Suggest Awesome Github Copilot Skills

  • 8.8k installs
  • 37.1k repo stars
  • Updated July 28, 2026
  • github/awesome-copilot

suggest-awesome-github-copilot-skills is an agent skill that Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with exist

About

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repository context and chat history, avoiding duplicates with existing skills in this repository, and identifying outdated skills that need updates. --- name: suggest-awesome-github-copilot-skills description: '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repository context and chat history, avoiding duplicates with existing skills in this repository, and identifying outdated skills that need updates.' --- # 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. **Fetch Available Skills**: Extract skills list and descriptions from [awesome-copilot README.skills.md](https://github.com.

  • Suggest Awesome GitHub Copilot Skills
  • **Scan Local Skills**: Discover existing skill folders in `.github/skills/` folder
  • **Extract Descriptions**: Read front matter from local `SKILL.md` files to get `name` and `description`
  • **Compare Versions**: Compare local skill content with remote versions to identify:
  • Skills that are up-to-date (exact match)

Suggest Awesome Github Copilot Skills by the numbers

  • 8,788 all-time installs (skills.sh)
  • +24 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #63 of 1,041 Cloud & Infrastructure skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

suggest-awesome-github-copilot-skills capabilities & compatibility

Capabilities
suggest awesome github copilot skills · **scan local skills**: discover existing skill f · **extract descriptions**: read front matter from · **compare versions**: compare local skill conten · skills that are up to date (exact match)
Use cases
documentation
From the docs

What suggest-awesome-github-copilot-skills says it does

**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).
SKILL.md
**Scan Local Skills**: Discover existing skill folders in `.github/skills/` folder 3.
SKILL.md
**Extract Descriptions**: Read front matter from local `SKILL.md` files to get `name` and `description` 4.
SKILL.md
**Analyze Context**: Review chat history, repository files, and current project needs 7.
SKILL.md
npx skills add https://github.com/github/awesome-copilot --skill suggest-awesome-github-copilot-skills

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Listed on Skillselion
Installs8.8k
repo stars37.1k
Security audit1 / 3 scanners passed
Last updatedJuly 28, 2026
Repositorygithub/awesome-copilot

What problem does suggest-awesome-github-copilot-skills solve for developers using this skill?

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

Who is it for?

Developers who need suggest-awesome-github-copilot-skills patterns described in the cached skill documentation.

Skip if: Skip when docs are empty or the task is outside the skill's documented scope.

When should I use this skill?

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

What you get

Actionable workflows and conventions from SKILL.md for suggest-awesome-github-copilot-skills.

  • ranked skill recommendations
  • duplicate exclusion list
  • outdated skill update notices

By the numbers

  • Sources skills from the official github/awesome-copilot repository catalog

Files

SKILL.mdMarkdownGitHub ↗

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)

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 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

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

5. Document key differences for outdated skills 6. 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

Related skills

How it compares

Use suggest-awesome-github-copilot-skills for discovery; use individual awesome-copilot skills directly when you already know the skill name.

FAQ

What does suggest-awesome-github-copilot-skills do?

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 identifying outdated skill

When should I use suggest-awesome-github-copilot-skills?

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 identifying outdated skill

Is suggest-awesome-github-copilot-skills safe to install?

Review the Security Audits panel on this page before installing in production.

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