Identify and fix bugs, AI slop patterns, and documentation issues in codebases.
npx skills add https://github.com/BoChao1Zhang/dotfiles --skill review-bochao1zhang
Please help me install this Agent Skill. Skill: review Source: https://github.com/BoChao1Zhang/dotfiles/tree/main/dot_codex/skills/review Command: npx skills add https://github.com/BoChao1Zhang/dotfiles --skill review-bochao1zhang
Review code for bugs, AI slop patterns, or documentation issues, then fix them interactively. This skill should be used after completing a major code modification or large multi-file edits — or when the user says "review", "review changes", "any bugs?", "review AI slop", "clean up AI code", "review docs", "code review".
Describe the changes and say "review" to start the interactive assessment.
High-intent search queries and answers about installing and using this skill.
To review code for bugs and AI slop after large multi-file edits, describe the changes and initiate a review. The process identifies and fixes bugs, AI slop patterns, and documentation issues interactively using parallel agents.
AI slop in code refers to low-quality, repetitive, or unnecessary patterns generated by AI. You can clean up AI code by running a targeted review that detects these slop patterns, validates findings against the codebase, and suggests fixes.
Yes, you can review git diffs for documentation issues and code quality. The review infers scope from your input to target files or git diffs, creating a concise issue list with short codenames for tracking and triage.
This code review works with large commits and multi-file edits, not just single files. It applies an interactive workflow with issue triage and validation to uncover hidden issues across the entire scope of modified code.
To fix documentation issues found during a code review, the tool generates suggested fixes interactively. After parallel agents identify the issues, you validate the findings and apply the guided fixes to update the documentation.
The best way to triage code quality issues in a modified codebase is to use a guided interactive workflow. It creates a concise, codified issue list with short codenames, allowing you to validate findings and apply suggested fixes efficiently.
jdiegosierraGenerate conventional commit messages from git diffs with type and scope detection.
rbah31Apply triaged fixes from review output and run tests.
saitocoCoordinate acceptance criteria verification and multi-perspective reviews on GitHub pull requests.
OneWave-AIReview code for security vulnerabilities, performance bottlenecks, and maintainability issues.
