review-feedback

Collect code review decisions and generate consolidated action plans.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/sunbluesome/dotfiles --skill review-feedback
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-feedback
Source: https://github.com/sunbluesome/dotfiles/tree/main/.claude/ds/skills/review-feedback
Command: npx skills add https://github.com/sunbluesome/dotfiles --skill review-feedback

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Review findings often remain unresolved without a structured process; this skill provides an interactive interview workflow to finalize action plans and collect decisions on code review findings.

Core Features & Use Cases

  • Interactive interview flow to collect user decisions on review findings (Critical/Major/Minor/Suggestions)
  • Auto-generate consolidated action plans and append decisions to review reports
  • Defer cross-component or system-design decisions to a higher-level reviewer when needed

Quick Start

Initiate the interview workflow on a review report to collect user decisions and generate the action plan.

Frequently Asked Questions about review-feedback

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I collect decisions on code review findings and generate an action plan?

You can collect decisions on code review findings and generate an action plan through an automated interactive interview workflow that prompts you to resolve each item. This process systematically consolidates your judgments into a finalized action plan appended to the review report.

What is the best way to handle unresolved code review reports?

The best way to handle unresolved code review reports is to run them through a structured interview workflow. This method applies autonomous judgment criteria to each finding, ensuring no critical, major, minor, or suggestion item is skipped without an explicit decision.

How does the interview workflow handle ambiguous code review findings?

The interview workflow handles ambiguous code review findings by using interactive AskUserQuestion prompts to ask you for clarification. It applies autonomous judgment criteria where possible and defers cross-component or system-design decisions to a higher-level reviewer when needed.

Can I defer cross-component decisions during the code review action plan generation?

Yes, you can defer cross-component decisions during action plan generation. When system-design or cross-component issues arise, the workflow allows you to escalate and defer these specific decisions to a higher-level reviewer instead of forcing an immediate resolution.

Do I need a specific CI platform to automate code review feedback consolidation?

No specific CI platform is required to automate code review feedback consolidation. The process operates as an interactive interview workflow driven by autonomous criteria, requiring only the review report itself to initiate finding resolution and action plan generation.

What categories of code review findings can I process using this interview workflow?

You can process Critical, Major, Minor, and Suggestion categories of code review findings using this interview workflow. The system interactively collects your decisions for each category and appends the finalized results to your review report.