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Awesome Copilot Code Review

Reviews pull requests to the awesome-copilot repository for fit, value, provenance and maintainability.

Source Download skill
Repository
github/awesome-copilot
Stars
40,703
Licence
MIT
Files
1 file

What it does

This skill gives an AI agent a checklist for reviewing contributions to the awesome-copilot repository. Once installed, the agent first applies the repository's deterministic rules in .github/copilot-instructions.md, then judges editorial questions such as whether a submission adds real value beyond what a capable model already does, whether it duplicates existing resources, whether it shows signs of promotional intent, and whether it was tested. It is a review guide for maintainers, not a tool that writes or runs code.

Great for

  • Maintainers of the awesome-copilot repository reviewing incoming pull requests
  • Contributors who want to self-check a skill or agent before submitting it
  • Teams adapting a similar review process for their own shared prompt or skill library

Skip it if

  • Reviewing general application code, since it is specific to this repository's submission rules and would give irrelevant feedback elsewhere
  • Final approval decisions without human review, because the judgments about uplift and promotional intent are subjective and the skill itself notes that evidence must be cited

Try asking

  • “Review this pull request that adds a new Terraform instructions file for awesome-copilot and tell me whether it adds real uplift.”
  • “Check the frontmatter and metadata of this new skill submission against the Agent Skills specification.”
  • “Look for duplicates of this proposed prompt among existing resources in the repository and cite any overlapping PRs.”
  • “Assess whether this PR shows evidence of testing or a realistic usage scenario.”
Step-by-step guide: how to use Awesome Copilot Code ReviewInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    code-review.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip code-review.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip code-review.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Point the agent at the repository's copilot-instructions.md so the deterministic checks run before the editorial judgments.
  • Ask for cited lines when the agent claims a resource has or lacks uplift, so you can verify the conclusion yourself.
  • Treat the output as a first-pass review and keep a human maintainer responsible for the final decision.

What's inside

  • SKILL.md

Redistributed unmodified from github/awesome-copilot under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.