Can this skill identify duplicate logic?

Yes, it specifically scans for code duplication and suggests existing project utilities or standard libraries that can replace new, redundant code.

How does Review Standard improve documentation?

It enforces mandatory README files for directories and companion markdown files for source code, ensuring that every interface and module is properly documented for future maintainability.

What is the 'Review Philosophy' used by this skill?

The skill follows a systematic, standards-based approach that is reuse-focused and context-aware, providing actionable recommendations rather than just automated linting errors.

Does it flag leftover debug code?

Review Standard audits commits for common debug artifacts like console.log, print statements, pdb breakpoints, and temporary files that should not be merged into production.

Review Standard

Name: Review Standard
Author: Synthesys-Lab

bySynthesys-Lab

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Collaboration Tools

Enforces systematic code review standards by auditing documentation quality, promoting code reuse, and ensuring clean commit hygiene.

Review Standard is a specialized Claude Code skill designed to automate and systematize the code review process before merging to the main branch. It ensures that every pull request adheres to strict documentation guidelines—such as requiring companion markdown files for source code and folder-level READMEs—while simultaneously identifying opportunities for code reuse and eliminating technical debt. By analyzing indirection, repetition patterns, and commit hygiene, it helps maintainers maintain high architectural standards and focus on critical logic rather than catching missing documentation or leftover debug statements.

Key Features

01Advanced indirection analysis to remove unnecessary wrappers and abstractions

02Intelligent code reuse detection to prevent redundant utility implementation

03Structured review reports providing actionable recommendations for developers

04Systematic documentation auditing for folders, source files, and test suites

0537 GitHub stars

06Commit hygiene scanning to identify debug prints, breakpoints, and temp files

Use Cases

01Ensuring production readiness by stripping debug code and temporary artifacts

02Standardizing documentation requirements across large-scale engineering teams

03Automating the detection of 'reinvented wheels' in complex codebases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add synthesys-lab/agentize review-standard

For use in Claude.ai and ChatGPT

Download Skill