Summary
This is a structured approach to reviewing git diffs before you commit. It walks through detection, context gathering (reading your lint configs and CLAUDE.md), then analyzes changes across security, correctness, performance, design, and readability. Every finding gets tagged as MAJOR (would block a PR) or MINOR (nice to fix), with file locations and suggested fixes. The workflow is methodical, maybe even rigid, but that's the point: it stops you from shipping a SQL injection while arguing about variable names. If you want quick feedback on staged changes without opening a PR, or you're working solo and miss having a second pair of eyes, this gives you a consistent review checklist that respects your project's conventions.
Install to Claude Code
npx -y skills add absolutelyskilled/absolutelyskilled --skill code-review-mastery --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Integrate web data into your AI product. One API to scrape website & brand data.
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
