Handle PR

SkillDev tools

Review 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.

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 spec issue, 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-prs tracks it, /takeover-pr applies 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