Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success claims. Covers three practices - receiving feedback with technical rigor over performative agreement, requesting reviews via code-reviewer subagent, and verification gates requiring evidence before any status claims. Essential for subagent-driven development, pull requests, and preventing false completion claims.
7.8
Rating
0
Installs
Version Control & Collaboration
Category
Exceptional skill addressing a critical gap in AI-assisted development: preventing false completion claims and ensuring technical rigor in code review. The SKILL.md provides excellent overview structure with clear decision trees and quick-reference patterns, while delegating detailed protocols to reference files - ideal organization. Description is comprehensive and trigger-based. Task knowledge is thorough with concrete commands, workflows, and anti-patterns. Structure is exemplary: concise overview with indexed references. Novelty is strong - the verification gates and anti-performative-agreement protocols directly address AI agent weaknesses (hallucinating success, social mimicry). Minor deduction on novelty only because some practices (like requesting reviews) are adaptations of standard processes, but the verification gates and reception protocols are highly novel for AI contexts. This skill would meaningfully reduce token waste from false starts and re-work.
mrgoonie
Skill Author
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Skill Author
