Review and triage PR review comments on the current branch — groups threads by file, separates bots from humans, walks through unresolved comments interactively
npx skills add https://github.com/DataDog/datadog-agent --skill review-pr-comments
Fetch, summarize, and interactively triage review comments on the PR for the current git branch.
gh CLI authenticated with access to the repositorymain or a release branch like N.N.x)BRANCH=$(git branch --show-current)
Guard: skip if branch is main, master, or matches release pattern ^\d+\.\d+\.x$.
Find the PR:
gh pr list --head "$BRANCH" --json number,title,url,state --limit 5
If no PR found, inform the user and stop.
Run these three gh api calls in parallel:
# Review comments (inline code comments)
gh api repos/{owner}/{repo}/pulls/{PR_NUMBER}/comments --paginate \
--jq '.[] | {id, path, line, body, user: .user.login, created_at, in_reply_to_id, diff_hunk}'
# Top-level reviews (approval/request-changes status + body)
gh api repos/{owner}/{repo}/pulls/{PR_NUMBER}/reviews --paginate \
--jq '.[] | {id, user: .user.login, state, body}'
# Issue-level comments (general PR discussion, CI bot reports)
gh api repos/{owner}/{repo}/issues/{PR_NUMBER}/comments --paginate \
--jq '.[] | {id, user: .user.login, body, created_at}'
Extract {owner} and {repo} from gh repo view --json owner,name.
Group review comments into conversation threads using in_reply_to_id:
in_reply_to_id: null starts a new threadFor each thread, track:
Separate into two groups:
Bot comments (user login ends with [bot] or is a known CI bot):
Human reviewer comments:
For each unresolved human reviewer comment thread:
Options:
- "Fix" → Apply the proposed code change
- "Reply" → Post a reply comment on the PR via gh api
- "Reply with custom message" → Ask user for reply text, then post
- "Add TODO" → Add a TODO item to track for later
- "Skip" → Move to next comment
For already-resolved threads (PR author replied last), present them as a summary group:
Fix: Edit the file, show the diff to the user. Do NOT commit automatically.
Reply: Post via gh API:
gh api repos/{owner}/{repo}/pulls/{PR_NUMBER}/comments \
-f body="$REPLY_TEXT" -f in_reply_to=$COMMENT_ID
TODO: Use the TodoWrite tool to track it.
After processing all comments, output a summary table:
| # | File | Reviewer | Action Taken |
|---|------|----------|--------------|
| 1 | path/to/file.go:42 | reviewer1 | Fixed |
| 2 | path/to/other.py:10 | reviewer2 | Replied |
| 3 | path/to/build.bzl:5 | reviewer3 | Skipped (already resolved) |
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
Comprehensive GitHub code review with AI-powered swarm coordination
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
Take datadog/review-pr-comments from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.