plugins/pm-engineering/skills/code-review-checklist/SKILL.md
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.
npx skillsauth add mohitagw15856/pm-claude-skills code-review-checklistInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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.
Ask the user for these if not provided:
git diff; significantly improves checklist specificity)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]
Language-specific correctness checks — choose based on the language stated:
For TypeScript/JavaScript:
any in non-test codeFor Python:
For Go:
[Include only the section matching the stated language]
For bug fixes:
For features:
For refactors:
For dependency upgrades:
[Include only the section matching the stated change type]
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
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]
Based on the change type and language, flag 2-3 things reviewers typically miss for this combination.
development
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development
Generate article or newsletter thumbnail candidates using the Gemini API from inside Claude Code. Claude reads article copy, proposes composition concepts, writes image generation prompts incorporating brand specs, calls Gemini to generate the images, evaluates the results via computer vision, and returns ranked candidates with rationale. Use when asked to create thumbnails, generate cover images, or produce visual candidates for an article or newsletter.
testing
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development
Scrapes a Substack Notes page and exports engagement data (likes, comments, restacks) to a formatted .xlsx file with conditional formatting and summary stats.