What makes Final Review different from standard linting?

While linting checks syntax and style, Final Review uses three specialized AI agents to analyze logical consistency, architectural integrity (SOLID), and defensive coding patterns that tools like ESLint might miss.

How does it handle follow-up reviews?

The skill checks git history for previous review passes to avoid redundant suggestions and focuses specifically on issues that may have been introduced by recent fixes.

What happens if the AI agents provide conflicting advice?

The skill includes an intelligent reconciliation step that prioritizes codebase consistency and existing patterns to keep the project DRY and maintainable.

Does it support my programming language?

Yes, it features automatic stack detection for Node.js, Ruby, Python, Go, Rust, Java, and .NET, running the specific linting and test commands associated with each ecosystem.

Can it create Pull Requests automatically?

Yes, it can detect your current branch status and automatically create or update PRs with descriptive titles and summaries based on your changes.

Final Review

Name: Final Review
Author: nicknisi

bynicknisi

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보안 및 테스팅

Automates a multi-stage pull request review and testing workflow using specialized AI agents to ensure code quality and consistency.

Final Review is a comprehensive Claude Code skill designed to streamline the pull request process by orchestrating three specialized AI agents: a Codebase Consistency Reviewer, a SOLID/Clean Code Auditor, and a Defensive Code Auditor. It automatically detects your project stack, runs appropriate linting and test suites, and manages the PR lifecycle from branch creation to final summary. This skill is ideal for developers who want a rigorous, automated second set of eyes to catch logic duplication, architectural smells, and silent errors before merging code.

주요 기능

0152 GitHub stars

02Multi-agent AI review focusing on SOLID principles, consistency, and defensive programming

03Git-aware review passes that adapt behavior for follow-up fixes versus initial reviews

04Automated PR creation and management directly from the command line

05Detailed reconciliation reports including implemented fixes, skipped items, and test coverage

06Automated project stack detection and testing for Node, Ruby, Python, Go, Rust, and more

사용 사례

01Performing a rigorous final audit on feature branches before merging into production

02Standardizing code quality across multi-language repositories using automated linting and unit testing

03Identifying and refactoring architectural 'code smells' and hidden errors in complex logic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nicknisi/claude-plugins final-review

For use in Claude.ai and ChatGPT

Download Skill