# In The Loop Labs Pair Review User Critic

> Address Review Feedback

- Skill: `tomevault-io/in-the-loop-labs-pair-review-user-critic` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/in-the-loop-labs-pair-review-user-critic`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/in-the-loop-labs-pair-review-user-critic/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/in-the-loop-labs-pair-review-user-critic

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# Address Review Feedback

Fetch human-curated review comments from pair-review and make code changes to address each one.

## Determine review context

Determine whether this is a local review or a PR review:

1. If the user explicitly says "local", use local mode.
2. Otherwise, determine the GitHub owner, repo, and PR number for the current branch. If a PR exists, use PR mode with `repo` and `prNumber` params.
3. If no PR exists, use local mode with `path` (absolute cwd) and `headSha` (`git rev-parse HEAD`) params.

## Fetch comments

Call `mcp__pair-review__get_user_comments` with the review context params.

If no comments are returned, tell the user there's nothing to address.

## Address each comment

For each comment returned:

1. Read the file at the referenced path and lines.
2. Understand what the reviewer is asking for — it may be a bug fix, a refactoring request, a question, or a style change.
3. Make the code change that addresses the feedback.
4. If the comment is a question or unclear, explain your interpretation and what you changed.

## Report

After addressing all comments, provide a summary:
- Which files were changed
- What was done for each comment
- Any comments that were ambiguous or could not be addressed (explain why)

---
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<!-- tomevault:4.0:skill_md:2026-04-11 -->

