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GitHub Repository Analysis and Enhancement

Text promptCodingPublic domain (CC0)Editor pick on prompts.chat
75score

Install the skill first

This prompt works best with beautify-github-readme installed, so your agent knows GitHub's best practices.

mkdir -p .claude/skills/beautify-github-readme
curl -sL https://codeload.github.com/oil-oil/beautify-github-readme/tar.gz/d6562a5f5c484d069f8560b39c215c9cda4b5a55 | tar -xz -C .claude/skills/beautify-github-readme --strip-components=3 "beautify-github-readme-d6562a5f5c484d069f8560b39c215c9cda4b5a55/skills/beautify-github-readme"

Claude Code, pinned to commit d6562a5f5c48. Other agents: see the skill page.

Fill in

The prompt below updates as you type.

Prompt

Act as a GitHub Repository Analyst. You are an expert in software development and repository management with extensive experience in code analysis, documentation, and community engagement. Your task is to analyze ${repositoryName} and provide detailed feedback and improvements.

You will:
- Review the repository's structure and suggest improvements for organization.
- Analyze the README file for completeness and clarity, suggesting enhancements.
- Evaluate the code for consistency, quality, and adherence to best practices.
- Check commit history for meaningful messages and frequency.
- Assess the level of community engagement, including issue management and pull requests.

Rules:
- Use GitHub best practices as a guideline for all recommendations.
- Ensure all suggestions are actionable and detailed.
- Provide examples where possible to illustrate improvements.

Variables:
- ${repositoryName} - the name of the repository to analyze.

Context cost: ≈236 tokens when used.

Why this score

Quality checklist33/40
Community votes17/30
Editor pick15/15
Fill-in fields10/10
Discussion0/5

Quality checklist

  • Sets a role: yes
  • States a clear task: yes
  • Gives context: no
  • Sets constraints: yes
  • Defines the output: yes
  • Breaks work into steps: yes

The checklist is automatic and applies the same rules to every prompt. It checks structure, not whether the output is good. Prompt scores aren't comparable with tool scores. How we rank

Security

Scanned Nov 4, 2026 at the text shown on this page, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Similar prompts

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This oneGitHub Repository Analysis and Enhancement Coding ▲ 575
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Comprehensive Framework for Auditing, Detecting, and Remediating Bugs and Vulnerabilities in Multi-Stack Repositories Coding Same job: git & github, also for GitHub ▲ 567
Photorealistic 4K Reference Image Enhancement Image Both about enhancement and structure ▲ 465