Handle PR
SkillDev toolsReview an incoming PR end-to-end — strict local review, drafted GitHub review, post after confirmation
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Handle PR skill
What this skill tells your AI
The instructions your AI receives, as published by gittower/git-flow-next in .claude/skills/handle-pr/SKILL.md and read by ahel’s review.
Review an incoming pull request end-to-end: a strict local review against REVIEW_CRITERIA.md (including scope and spec satisfaction), distilled into a GitHub review draft, posted only after user confirmation. Internal and external PRs are treated the same.
For later rounds — after the author responds to a posted review — use
/follow-up-review <number> instead (it is round-aware: it verifies the prior
requested changes against the delta and reads the author's replies).
/address-review is the author-side counterpart, for feedback on a PR you
authored — not for re-reviewing an incoming PR.
Arguments
/handle-pr <pr-number>
Workflow
Step 1: Pre-Checks
Fetch the PR (mcp__github__get_pull_request). Check before any deep
review:
- Scope: does the PR address exactly one concern (CONTRIBUTING.md: one PR, one concern)? If it clearly bundles unrelated changes, the review can short-circuit: the primary finding is "split this PR", detailed findings are secondary
- Linked spec/issue: identify the linked issue from the PR body or
branch name. If it links a
specissue, that spec is the verification target - CI status: note failing checks (
gh pr checks <number>)
Step 2: Local Review
Spawn a subagent (Task tool, subagent_type: "general-purpose"):
- description:
Review PR locally - prompt:
Read the skill definition at .claude/skills/code-review/SKILL.md and execute it fully in PR mode for PR #<number>. Apply all eight review areas in REVIEW_CRITERIA.md strictly — including Scope (one PR, one concern) and Spec Satisfaction against issue #<linked-issue>. This is an incoming PR; hold it to the project's full standard: tests, guidelines, commit messages, documentation.
Verify: the review file review-pr<number>-*.md exists in .ai/.
Step 3: Draft the GitHub Review
Spawn a subagent:
- description:
Draft GitHub review - prompt:
Read the skill definition at .claude/skills/pr-review/SKILL.md and execute it fully for PR #<number>. Use the existing code review file in .ai/ as the basis. Write the review file for preview — do not post.
Verify: the pr-review-*.md draft exists.
Step 4: Confirmation Gate
Present to the user:
- Verdict (APPROVE / COMMENT / REQUEST_CHANGES) and why
- The full review body and inline comments from the draft
- Anything noteworthy from pre-checks (scope, CI, missing spec link)
Wait for confirmation. The user may edit findings, downgrade/upgrade the event, or decide not to post.
Step 5: Post
On confirmation, post via the /post-review skill pattern (read
.claude/skills/post-review/SKILL.md): parse the draft, map inline comments
to diff lines, post with mcp__github__create_pull_request_review.
Step 6: Report
- Posted review URL and event type
- If REQUEST_CHANGES: note that the 7-day response window from
CONTRIBUTING.md starts now —
/check-prstracks it,/takeover-prapplies after it lapses
Signals
- GitHub stars
- 439
- Forks
- 28
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
handle-pr- Source
- github.com/gittower/git-flow-next