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name: code-review-checklist
description: "Generate a tailored code review checklist for any pull request based on the language, type of change, and risk level. Use when asked to review code, check a PR, review a pull request, or generate a code review checklist. Produces a focused checklist with language-specific checks, risk-level-appropriate depth, and a clear approve/request-changes recommendation."

Code Review Checklist Skill

Produces a tailored code review checklist for a specific pull request — scaled to the language, type of change, and risk level. Not a generic template.

Required Inputs

Ask the user for these if not provided:

• Language and framework (e.g. TypeScript + React / Python + FastAPI / Go)
• Type of change (feature / bug fix / refactor / dependency upgrade / security patch / performance)
• Risk level (low / medium / high / critical)
• PR description (paste the description or link to the PR)
• Code or diff (optional — paste key changed files or a git diff; significantly improves checklist specificity)
• Author context (new starter / experienced / external contributor)

Output Format

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Code Review: [PR Title or Reference]

1. PR Overview

Scope assessment: [Small / Medium / Large / Too large — should be split]
Recommended review depth: [Skim / Standard / Deep dive]
Estimated review time: [e.g. 20–30 min — use 5 min per 50 lines of diff as a rough guide]

2. Correctness Checks

Language-specific correctness checks — choose based on the language stated:

For TypeScript/JavaScript:

• Type definitions match actual usage
• No implicit any in non-test code
• Async/await used consistently; no unhandled promises
• Null/undefined handling is explicit

For Python:

• Type hints present on public functions
• Exception handling is specific (no bare except)
• Resources are closed (context managers, with blocks)

For Go:

• Errors are handled or explicitly ignored with a comment
• Context propagation is correct
• Goroutine lifetimes are bounded

[Include only the section matching the stated language]

3. Change-Type-Specific Checks

For bug fixes:

• A test exists that would have caught this bug
• The fix addresses root cause, not symptom
• Related code paths checked for the same issue

For features:

• Acceptance criteria met
• Edge cases handled (empty, large, concurrent)
• Error paths tested, not just happy path
• Telemetry/logging added for debugging

For refactors:

• Behaviour unchanged (tests still pass)
• No scope creep — refactor only
• Complexity reduced, not just moved

For dependency upgrades:

• Breaking changes reviewed
• Security advisories checked
• License compatibility verified

[Include only the section matching the stated change type]

4. Risk-Appropriate Checks

Low risk: basic correctness, style conventions, test coverage
Medium risk: above + rollback plan, monitoring updates, performance considerations
High risk: above + security implications, data migration safety, feature flag/gradual rollout
Critical risk: above + staging validation plan, incident response plan, post-deploy verification checklist

5. Testing Adequacy

• Unit tests cover new logic
• Integration tests cover the contract changes
• Edge cases tested
• Failure modes tested
• Performance tests if performance-sensitive

6. Review Decision Framework

Approve if: [2-3 specific conditions based on this PR]
Request changes if: [Specific blockers]
Comment (non-blocking) if: [Items worth discussing but not blocking merge]

7. Common Pitfalls for This Change Type

Based on the change type and language, flag 2-3 things reviewers typically miss for this combination.

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Quality Checks

• Checklist is tailored to the stated language (not generic)
• Change-type-specific section is included
• Risk-appropriate depth matches stated risk level
• Decision framework includes at least one named blocking condition and one named non-blocking comment condition
• Common pitfalls are specific to the stated language + change-type combo (not generic advice like "watch out for bugs")

Anti-Patterns

• Do not generate a generic checklist that ignores the stated language — a Python checklist and a Go checklist have fundamentally different correctness concerns
• Do not treat "looks fine" as a valid review outcome — the checklist exists to surface specific concerns, not validate a superficial read
• Do not scope a "high risk" review the same as a "low risk" review — depth must scale with the stated risk level
• Do not flag every stylistic preference as a blocking issue — distinguish between blocking correctness issues and non-blocking comments
• Do not skip the "common pitfalls" section for the stated language and change-type combination — this is where the most valuable knowledge lives

Usage Examples

• "Generate a code review checklist for [PR description]"
• "What should I check in this pull request?"
• "Give me a code review checklist for a [language] [change type]"
• "Review checklist for a high-risk PR in [language]"