Summary
This one's about handling code review feedback without the performative "you're absolutely right!" responses that creep into Claude's default behavior. It pushes you to verify suggestions against the actual codebase before implementing, ask clarifying questions when feedback is unclear, and push back with technical reasoning when reviewers are wrong. The YAGNI check is smart: if someone suggests "implementing properly," grep for actual usage first. Works best when you're dealing with external reviewers who might lack full context, or when your human partner drops six fixes at once and two of them don't make sense yet. The core idea is technical correctness over social comfort.
Install to Claude Code
npx -y skills add davila7/claude-code-templates --skill receiving-code-review --agent claude-codeInstalls into .claude/skills of the current project.
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SKILL.md
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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 →
