How does this skill differ from standard AI code reviews?

While most AI tools just give suggestions, this skill focuses on the reception and verification of feedback, ensuring every suggestion is technically validated by tools before being applied.

Does it keep a history of feedback decisions?

Yes, the skill logs the disposition of every feedback item—whether implemented, rejected, or deferred—to a TRACKING.md or CSV file for documentation.

Can I use this for human peer reviews?

Yes, it is specifically designed to handle feedback from human reviewers, other LLM sessions, and automated CI/Linter tools with equal technical rigor.

What happens in the 'Verify' phase?

The Verify phase uses your local development tools and environment to check if the feedback is technically valid and applicable before you commit to making changes.

Feedback Verification & Implementation

Name: Feedback Verification & Implementation
Author: existential-birds

byexistential-birds

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コラボレーションツール

Processes external code review feedback using a verification-first methodology to ensure technical accuracy before implementation.

概要

The Receive Feedback skill transforms how developers handle suggestions from LLMs, human reviewers, and CI tools by enforcing a disciplined verification workflow. Instead of performative agreement, it utilizes a 'Verify-Evaluate-Execute' pipeline that uses automated tools to validate claims, applies a decision matrix to determine the best course of action, and logs every disposition to a structured tracking system. This ensures that only technically sound changes are integrated into the codebase while maintaining a clear audit trail of accepted, rejected, or deferred suggestions.

主な機能

14 GitHub stars
Structured decision matrix for objective evaluation of suggestions
Tool-based verification workflow to validate technical feedback claims
Multi-source support for LLM, human, and CI-generated feedback
Automated disposition tracking via CSV logging for audit trails
Formalized response formatting for clear technical communication

ユースケース

Triaging and acting upon linter or CI tool warnings with evidence-based rigor
Validating and implementing suggestions from a GitHub PR review
Processing and verifying refactoring advice from a separate AI session

概要

主な機能

14 GitHub stars
Structured decision matrix for objective evaluation of suggestions
Tool-based verification workflow to validate technical feedback claims
Multi-source support for LLM, human, and CI-generated feedback
Automated disposition tracking via CSV logging for audit trails
Formalized response formatting for clear technical communication

ユースケース

Triaging and acting upon linter or CI tool warnings with evidence-based rigor
Validating and implementing suggestions from a GitHub PR review
Processing and verifying refactoring advice from a separate AI session