github-repo
Skill100 starsChanged 7 months agoMITView on GitHub
Audits and improves GitHub repository quality — README structure, community health files, .github directory setup, issue/PR templates, metadata, releases, and branch hygiene. Use this skill whenever the user asks to improve, audit, review, or set up a GitHub repository, or when they mention things like "make my repo look professional", "add contributing guidelines", "set up issue templates", "improve my README", "clean up my repo", "prepare my repo for open source", or "make my GitHub project look good". Also trigger when working inside a git repository and the user asks about best practices for documentation, community files, or repository structure. If the user is in a repo directory and mentions README, CONTRIBUTING, SECURITY, CODE_OF_CONDUCT, LICENSE, .github, templates, or release tags, use this skill.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- es6kr/skillstheir own version, first seen Oct 13, 2026
- gauravv-g/claude-skills-collectiontheir own version, first seen Apr 26, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- es6kr/skills★ 2same name
- gauravv-g/claude-skills-collection★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository17 other files it gives its agents.
- astro-seo/AGENTS.mdAGENTS.md
- github-profile/AGENTS.mdAGENTS.md
- github-repo/AGENTS.mdAGENTS.md
- static-seo/AGENTS.mdAGENTS.md
- wp-readme-optimizer/AGENTS.mdAGENTS.md
- wp-static-clone/AGENTS.mdAGENTS.md
- astro-github-actionsSkill
- astro-seoSkill
- content-seoSkill
- emdash-github-actionsSkill
- github-profileSkill
- metadata-checkSkill
- readability-checkSkill
- static-seoSkill
- wp-github-actionsSkill
- wp-readme-optimizerSkill
- wp-static-cloneSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 2 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 99
Metadata pass —
metadata-checkskill: Run on the repo description (first ~100 chars show in search and profile cards) and the README's … - Very specific: line 100
Prose pass —
readability-checkskill: Run on every prose-heavy file — at minimum the README, plus CONTRIBUTING.md and SECURITY.md if you … - Distinctive: line 108
Verify files are in the correct locations.
- Distinctive: line 109
Check that all internal links in the README work.
- Very specific: line 111
If gh is available, remind the user to update the repo's About section (description, topics, website URL, social preview) — these can't be …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
GitHub Repository Optimizer
This skill audits a GitHub repository against best practices and generates or improves the files that make a repo look professional, welcoming, and well-maintained. It works with live repos (via gh CLI), local git directories, or files the user provides.
Implementation recipes live in AGENTS.md — read it when you need to generate or improve specific files. This file has the workflow and audit checklist.
Workflow
- Gather repo context — Determine what we're working with and collect information
- Run the audit — Score every aspect of the repo's public-facing quality
- Generate or improve files — Produce the files that are missing or need work. Recipes are in
AGENTS.md. - Metadata and readability pass — invoke
metadata-checkon the repo description and README blurb;readability-checkon prose-heavy files. - Verify — Confirm the outputs are correct and complete
Phase 0: Gather Context
Key information to collect: repo name, description, language/framework, README existence and quality, which community health files exist, issue/PR template status, CI/CD status, release history, branch count. Use gh CLI if authenticated, otherwise read local files.
Phase 1: Audit
Score each category out of 10. For each, give 2–4 specific findings that quote the actual state.
README Quality (x/10)
Does the README exist? Is it well-structured with: project name and clear one-liner, badge row (build/license/version), description explaining what/why/who, quick start (install + first use in 3 steps or fewer), code examples, screenshots/demos if visual, configuration docs, contributing link, license mention? Is it under 500 lines with <details> for optional content?
Repository Metadata (x/10)
- Description set and useful (not blank or "My awesome project")?
- Topics/tags relevant and complete?
- Website URL set if applicable?
- Social preview image uploaded?
- "Packages", "Environments", "Deployments" sections hidden if unused?
Community Health Files (x/10)
- CONTRIBUTING.md — exists? Covers dev setup, code style, testing, PR process?
- SECURITY.md — exists? Directs to private reporting channel, states response time?
- CODE_OF_CONDUCT.md — exists? Contributor Covenant 2.1 is the standard.
- LICENSE — exists in root? Appropriate for project type?
- SUPPORT.md — exists? Separates bugs from support questions?
- CHANGELOG.md — follows Keep a Changelog format?
For organizations: check for a .github repository with org-wide default health files.
Issue & PR Templates (x/10)
- YAML-based issue forms (
.github/ISSUE_TEMPLATE/*.yml) with at least bug report and feature request? Numbered filenames for ordering? config.ymldisabling blank issues and linking external support?- PR template with description, related issues (
Closes #XXX), type-of-change checkboxes, testing checklist? - CODEOWNERS file defining reviewers per directory?
CI/CD & Automation (x/10)
- GitHub Actions workflows for testing, linting, building? Passing status badges in README?
- Dependabot or Renovate configured?
- Code quality (CodeQL, linting actions)?
- Stale issue management?
Releases & Branch Hygiene (x/10)
- Tagged releases with changelogs? Semantic versioning?
- Stale branches cleaned up?
.gitattributeswithexport-ignore?- Auto-release (semantic-release or release-please)?
Phase 2: Generate or Improve Files
Based on the audit, generate the files that are missing or need improvement. Always ask before overwriting. Read AGENTS.md for detailed recipes.
File generation order by impact: README.md, LICENSE, CONTRIBUTING.md, SECURITY.md, CODE_OF_CONDUCT.md, issue templates, PR template, CHANGELOG.md, SUPPORT.md, config files (dependabot.yml, CODEOWNERS, FUNDING.yml).
AGENTS.md sections: README generation, Community health files (CONTRIBUTING, SECURITY, CODE_OF_CONDUCT), Issue templates, Organization-level setup (.github repo, org profile, private member profile, domain verification, rulesets).
Phase 2.5: Metadata and readability pass
- Metadata pass —
metadata-checkskill. Run on the repo description (first ~100 chars show in search and profile cards) and the README's opening blurb. - Prose pass —
readability-checkskill. Run on every prose-heavy file — at minimum the README, plus CONTRIBUTING.md and SECURITY.md if you produced them.
Apply fixes directly. Skip for code-heavy files (issue templates, workflow YAML).
Phase 3: Verify
- Verify files are in the correct locations.
- Check that all internal links in the README work.
- Confirm badge URLs are correctly formatted.
- If
ghis available, remind the user to update the repo's About section (description, topics, website URL, social preview) — these can't be set via files alone. - Summarize what was created/changed and what the user should do next.
Output format
Score table (6 categories, x/60), grouped findings quoting actual state, list of files generated/changed, and next steps for the user.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

