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Official agent skill

Suggest Awesome GitHub Copilot Agents

by github in github/awesome-copilot

Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this…

OfficialMITAuto-check passedAgent Workflows

Install Suggest Awesome GitHub Copilot Agents

skills CLI
$ npx skills add github/awesome-copilot --skill suggest-awesome-github-copilot-agents -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot suggest-awesome-github-copilot-agents --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/suggest-awesome-github-copilot-agents .claude/skills/suggest-awesome-github-copilot-agents && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
suggest-awesome-github-copilot-agents
GitHub stars
40k
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
744 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this…

  • Works in 11 steps: Fetch Available Custom Agents: Extract… → Scan Local Custom Agents: Discover… → Extract Descriptions: Read front matter… → …
  • Tasks that involve Codebase knowledge for agents
  • SKILL.md covers Process, Context Analysis Criteria, Output Format and Local Agent Discovery Process, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Suggest Awesome GitHub Copilot Agents is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Codebase knowledge for agents. It works with GitHub. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Tasks that involve Codebase knowledge for agents

Example prompts

  • “/suggest-awesome-github-copilot-agents”

Workflow steps

11 steps, taken from the first numbered list in SKILL.md.

  1. Fetch Available Custom Agents: Extract Custom Agents list and descriptions from awesome-copilot README.agents.md. Must use fetch tool.
  2. Scan Local Custom Agents: Discover existing custom agent files in .github/agents/ folder
  3. Extract Descriptions: Read front matter from local custom agent files to get descriptions
  4. Fetch Remote Versions: For each local agent, fetch the corresponding version from awesome-copilot repository using raw GitHub URLs (e.g…
  5. Compare Versions: Compare local agent content with remote versions to identify
  6. Analyze Context: Review chat history, repository files, and current project needs
  7. Match Relevance: Compare available custom agents against identified patterns and requirements
  8. Present Options: Display relevant custom agents with descriptions, rationale, and availability status including outdated agents
  9. Validate: Ensure suggested agents would add value not already covered by existing agents
  10. Output: Provide structured table with suggestions, descriptions, and links to both awesome-copilot custom agents and similar local custom…
  11. Download/Update Assets: For requested agents, automatically

What it can do on your machine

Read from SKILL.md and the folder at commit 7cce7cf. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Suggest Awesome GitHub Copilot Agents loads about 2k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 744 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 7cce7cf, republished under its MIT licence (© github). 744 words, ~1,979 tokens.

Download SKILL.mdSave it as .claude/skills/suggest-awesome-github-copilot-agents/SKILL.md (or your agent's skills folder).
name
suggest-awesome-github-copilot-agents
description
Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.

Suggest Awesome GitHub Copilot Custom Agents

Analyze current repository context and suggest relevant Custom Agents files from the GitHub awesome-copilot repository that are not already available in this repository. Custom Agent files are located in the agents folder of the awesome-copilot repository.

Process

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

Awesome-Copilot Custom AgentDescriptionAlready InstalledSimilar Local Custom AgentSuggestion Rationale
amplitude-experiment-implementation.agent.mdThis custom agent uses Amplitude's MCP tools to deploy new experiments inside of Amplitude, enabling seamless variant testing capabilities and rollout of product features❌ NoNoneWould enhance experimentation capabilities within the product
launchdarkly-flag-cleanup.agent.mdFeature flag cleanup agent for LaunchDarkly✅ Yeslaunchdarkly-flag-cleanup.agent.mdAlready covered by existing LaunchDarkly custom agents
principal-software-engineer.agent.mdProvide principal-level software engineering guidance with focus on engineering excellence, technical leadership, and pragmatic implementation.⚠️ Outdatedprincipal-software-engineer.agent.mdTools configuration differs: remote uses 'web/fetch' vs local 'fetch' - Update recommended
Show full SKILL.md (294 more words)Show less

Local Agent Discovery Process

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

Version Comparison Process

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

Requirements

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

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/suggest-awesome-github-copilot-agents of github/awesome-copilot.

Open the folder on GitHubat commit 7cce7cf

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Suggest Awesome GitHub Copilot Agents next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Suggest Awesome GitHub Copilot Agents compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Suggest Awesome GitHub Copilot Agents this skillgithub/awesome-copilot40k1 repos~2kAutomated safety check: PassMIT
Repomix Codebase Packeryamadashy/repomix29k—~1.3kAutomated safety check: NotesMIT
Project Context SetupMathews-Tom/armory328—~1.2kAutomated safety check: PassMIT
BTCA Local Repo Searchstickerdaniel/linkedin-mcp-server3.8k—~660Automated safety check: PassApache-2.0
PR Inline Commentssesori-ai/sesori_apps_monorepo126—~2.3kAutomated safety check: PassCustom licence
Docs Seekereinverne/dotfiles1211 repos~1.4kAutomated safety check: PassGPL-3.0

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Works with

Categories

Questions about Suggest Awesome GitHub Copilot Agents

What does Suggest Awesome GitHub Copilot Agents do?

Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this…. Suggest Awesome GitHub Copilot Agents is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.

When should I use Suggest Awesome GitHub Copilot Agents?

Suggest Awesome GitHub Copilot Agents fits situations like: tasks that involve Codebase knowledge for agents.

How do I install Suggest Awesome GitHub Copilot Agents in Claude Code?

Run `npx skills add github/awesome-copilot --skill suggest-awesome-github-copilot-agents -a claude-code`. Or copy the skill folder (skills/suggest-awesome-github-copilot-agents in github/awesome-copilot) into .claude/skills/suggest-awesome-github-copilot-agents in your project. Claude Code loads it when a task matches its description.

How do I install Suggest Awesome GitHub Copilot Agents in Codex?

Run `npx skills add github/awesome-copilot --skill suggest-awesome-github-copilot-agents -a codex`. Or copy the skill folder (skills/suggest-awesome-github-copilot-agents in github/awesome-copilot) into .agents/skills/suggest-awesome-github-copilot-agents in your project. Codex loads it when a task matches its description.

Can I use Suggest Awesome GitHub Copilot Agents in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill suggest-awesome-github-copilot-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/suggest-awesome-github-copilot-agents, .gemini/skills/suggest-awesome-github-copilot-agents, .github/skills/suggest-awesome-github-copilot-agents and .opencode/skills/suggest-awesome-github-copilot-agents in your project.

What does Suggest Awesome GitHub Copilot Agents need to run?

SKILL.md names no scripts, command-line tools or credentials: Suggest Awesome GitHub Copilot Agents is instructions for the agent only.

Does Suggest Awesome GitHub Copilot Agents access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Suggest Awesome GitHub Copilot Agents safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Suggest Awesome GitHub Copilot Agents use?

Suggest Awesome GitHub Copilot Agents is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Suggest Awesome GitHub Copilot Agents use?

About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Suggest Awesome GitHub Copilot Agents?

Skills that share tags, products or a category with Suggest Awesome GitHub Copilot Agents: Repomix Codebase Packer (yamadashy/repomix, 29k stars), Project Context Setup (Mathews-Tom/armory, 328 stars), BTCA Local Repo Search (stickerdaniel/linkedin-mcp-server, 3.8k stars) and PR Inline Comments (sesori-ai/sesori_apps_monorepo, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Suggest Awesome GitHub Copilot Agents?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,792 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 8, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.