Skill · AI & Development

PR Review Preparer

Generate high-quality PR descriptions that prioritize intent, risk, and reviewer guidance to speed up approvals. Install in 30 seconds.

Category: AI & Development
Deliverable: 1 .skill bundle
Outputs: —
Last updated: 13 Jun 2026

$8.99 One-time · lifetime updates

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Overview

What PR Review Preparer does.

PR Review Preparer takes your diff summary, the problem you were solving, and any context your reviewers lack, then produces a structured PR description built around intent and risk rather than a change log. Before writing, it runs a self-review sweep to flag debug leftovers, commented-out code, and unrelated changes that erode reviewer trust. The output tells reviewers where to read carefully, where changes are purely mechanical, and what testing evidence reduces their uncertainty — so your PR gets a real review instead of a rubber stamp.

A realistic input: you paste a summary of a 900-line diff that refactors authentication middleware, note that the original session-handling logic had a race condition under concurrent logins, and mention your reviewers are unfamiliar with the legacy token store. The skill identifies that the race-condition fix is the highest-risk section and should be read first, flags two files that are rename-only and can be skimmed, and asks whether you have load-test results to surface as evidence.

A sample output excerpt might include: a 'Why this change' section explaining the race condition and the chosen fix approach; a 'Risk surface' callout pointing reviewers to the middleware initialization order in auth/session.go; a 'Mechanical changes — safe to skim' list covering the renamed constants; and a 'Test evidence' block referencing the specific test cases that cover the concurrent-login path. If the diff mixes concerns, the skill also proposes a split into a focused stack of smaller PRs.

Who it's for

Engineers who regularly open PRs that stall in review — because reviewers lack context, not because the code is wrong — and team leads who want pull requests to arrive already organized by intent and risk rather than requiring the reviewer to reconstruct both from the diff.

How it works

Three steps. About two minutes.

Install

Add the .skill file to your Claude app. ~10 seconds.

Run it on your work

Invoke the skill and paste in your material.

Apply the output

Review, keep what works, and use it.

In depth

Why a Claude skill beats a prompt template.

A copy-paste prompt runs one static pass and stops. A skill is a bundled program — instructions, examples, and a workflow Claude runs as a unit: it asks for the right input, applies the same pattern every time, and returns the structured outputs above.

FAQ

Common questions.

What do I need to provide for this skill to work well?

At minimum: a plain-language summary of what changed and why, and the context your reviewers won't already have. Attaching or pasting the raw diff improves the self-review sweep, but a detailed diff summary works if the full diff is too large.

What does the output actually look like — can I paste it directly into GitHub or GitLab?

The skill produces a structured PR description in plain text with clear section headings, designed to be pasted directly into any PR body field. Sections cover intent, risk areas, guided reading order, mechanical changes, and test evidence.

Will it tell me if my PR is too large to review effectively?

Yes. If the diff mixes concerns or exceeds a reviewable scope, the skill flags this and proposes how to split the changes into a stack of smaller, focused PRs, including a suggested order for opening them.

Does it work for any language or framework?

The skill operates on the intent and structure of changes rather than language-specific syntax, so it works across stacks. You supply your stack and team context at the start, and the guidance adapts accordingly.

Can I use it after the PR is already open, not just before?

Yes. You can use it to retrofit a description onto an open PR, to respond to review feedback in a structured way, or to prep a revised description after a round of changes.