Where are the generated best practices stored?

The skill generates structured markdown files with examples and sources within the .claude/best-practices/ directory of your project.

Can I use these extracted guidelines for automated reviews?

Yes, this skill is designed to generate the documentation that the code-reviewer agent and /4_review command use to validate new code.

Does it support private repositories?

Yes, as long as your local GitHub CLI is authenticated and has the necessary permissions to access the target repository.

Do I need to manually categorize every comment?

The skill provides a sorting script that organizes comments by your project's file tree, making it easier to group guidelines by domain or technology.

How does this skill extract PR comments?

It utilizes the GitHub CLI (gh) and jq to fetch and process inline comments from your repository's history, supporting both full and incremental updates.

Best Practices Extractor

Name: Best Practices Extractor
Author: ItamarZand88

byItamarZand88

•

学習とドキュメンテーション

Extracts and documents coding standards from GitHub PR review comments and repository history to build living documentation.

The Best Practices Extractor automates the capture of institutional knowledge by analyzing GitHub Pull Request comments and codebase patterns to generate structured documentation. It helps development teams maintain high-quality codebases by transforming recurring review feedback into actionable guidelines within the .claude/best-practices/ directory, complete with rationale and code examples. This skill bridges the gap between manual code reviews and automated enforcement, ensuring that team-specific conventions are easily accessible to both developers and AI agents during the implementation phase.

主な機能

01Structured generation of markdown documentation with 'Good' and 'Bad' examples

02Seamless integration with automated code review agents for guideline validation

03Automatic sorting and organization of review feedback by project file tree

043 GitHub stars

05Incremental and full extraction of GitHub PR inline comments using the gh CLI

06Pattern identification for recurring coding themes and team-specific feedback

ユースケース

01Analyzing code review patterns to identify and document recurring architectural mistakes

02Updating project documentation regularly to reflect evolving team preferences

03Bootstrapping coding standards for a new repository using historical PR data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add itamarzand88/claude-code-agentic-engineering best-practices-extractor

For use in Claude.ai and ChatGPT

Download Skill