How does this skill prevent low-quality AI comments?

The skill employs a rigorous validation phase where Opus subagents re-verify every issue found by previous agents. It explicitly ignores stylistic nitpicks and only flags high-signal issues like logic errors or syntax failures.

Does it support custom project coding standards?

Yes, it automatically scans for CLAUDE.md files in the root and relevant subdirectories, using those rules to audit the pull request for project-specific compliance.

Will it comment on every pull request?

No, it performs an initial screening to skip closed PRs, drafts, or trivial changes. It also checks if Claude has already commented to avoid duplicate work.

Can I apply the suggested fixes directly?

For small, self-contained issues, the skill provides committable suggestion blocks in the GitHub UI, allowing you to apply the fix with a single click.

Automated GitHub Code Review

Name: Automated GitHub Code Review
Author: pipecat-ai

bypipecat-ai

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10,502

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コラボレーションツール

Performs high-signal, multi-agent code reviews on GitHub pull requests to identify critical bugs and ensure project compliance.

This skill automates the code review process for GitHub pull requests by orchestrating a sophisticated pipeline of specialized AI agents. It intelligently filters out drafts and trivial changes, discovers project-specific rules in CLAUDE.md files, and utilizes high-reasoning models like Claude 3.5 Sonnet and Claude 3 Opus to detect logic errors and security vulnerabilities. By implementing a mandatory validation step for every flagged issue, the skill ensures that developers receive only high-signal, trustworthy feedback and committable suggestions, eliminating the noise of stylistic nitpicks and false positives.

主な機能

01Direct integration with GitHub CLI for inline comments and committable suggestions

02Multi-agent orchestration using Haiku, Sonnet, and Opus for specialized analysis

0310,502 GitHub stars

04Smart filtering to skip drafts, closed PRs, and trivial automated changes

05Dual-layer validation to ensure only high-signal, high-confidence issues are reported

06Automated discovery and enforcement of project-specific CLAUDE.md rules

ユースケース

01Ensuring large-scale repository contributions adhere to specific architectural guidelines

02Accelerating the PR cycle by providing immediate, actionable feedback and code fixes

03Automating the first pass of code reviews to catch critical logic bugs before human intervention

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pipecat-ai/pipecat code-review

For use in Claude.ai and ChatGPT

Download Skill