Frames a pull request so reviewers understand the risk profile, what has been tested, and where to focus their limited attention. This produces faster, more useful reviews because reviewers spend less time reconstructing context and more time evaluating the actual changes.
Use cases
- Delivering a completed feature and wanting the reviewer to prioritize the new logic over boilerplate changes
- Wrapping up a large refactor where the diff is large but the behavior change is minimal
- Submitting a security-sensitive change that needs a targeted security review rather than a general review
- Opening a PR where the implementation approach was unconventional and explanation is needed to avoid confusion
- Requesting re-review after addressing feedback and wanting reviewers to focus on what changed, not re-audit the whole diff
Key features
- Shrink the PR narrative to its essentials: what changed, why it changed, and what the reviewer should evaluate most carefully
- Call out high-risk areas explicitly—race conditions, security-sensitive code, performance-sensitive paths—and describe how you tested them
- Link to any pre-existing design discussions, architecture decision records, or related PRs that provide context
- Keep the diff small by extracting refactors or formatting changes into separate PRs with no logic changes
- Iterate on reviewer feedback using discrete, traceable commits that make it easy for reviewers to verify what changed
When to Use This Skill
- When a PR touches security-sensitive code, external APIs, or database migrations where reviewers need advance warning
- When the implementation approach diverges from established conventions and an explanation is necessary
- When a PR is large enough that reviewers need guidance on where to focus their time
Expected Output
A pull request with a descriptive title, focused description, explicit risk calls-out, testing evidence, and a diff that isolates logic changes from formatting and refactor-only changes.
Frequently Asked Questions
- How do I keep a PR small when the feature requires changes across many files?
- Stack PRs: submit refactor-only changes first with no behavior change, then the feature changes on top. Reviewers can approve the refactor once and focus on the logic in subsequent PRs.
- Should I request review from specific people or let the team triage requests?
- Request specific reviewers when their expertise is required for an accurate review (a security expert for auth code, a domain expert for business logic). Let the team distribute general reviews to avoid bottlenecks.
- What if the PR is urgent and I need a fast review?
- Mark the PR as urgent and propose a specific reviewer. Ask them explicitly if they can review within a given time window rather than assuming the standard SLA applies. Do not sacrifice the description quality even under time pressure.
Related
Related
3 Indexed items
Receiving code review
Structures how you respond to code review feedback so the review process stays focused, respectful, and productive. This skill separates substantive feedback from nitpicks, tracks follow-ups without losing them, and produces a record that makes merges faster and post-mortems clearer.
Documentation from code
Extracts architecture decisions, API contracts, and usage patterns directly from code to produce accurate documentation that stays in sync with implementation. Documentation-from-code treats code as the source of truth and generates prose from it rather than maintaining documentation as a separate artifact that diverges over time.
Security review for AI-generated code
Reviews AI-generated code for security failure modes that AI assistants commonly miss: prompt injection risks, credential exposure, dependency vulnerabilities, insecure deserialization, and access control gaps. This skill catches what agents miss when they optimize for functionality over safety, especially in code that handles user input, authentication, or external data.