AI DevKit · Final code review phase guidance for holistic pre-push review. Use when the user wants code review, final lifecycle review, design alignment checks, integration risk review, or dev-lifecycle phase 9.
npx skills add https://github.com/codeaholicguy/ai-devkit --skill dev-review
Run final pre-push review for configured AI docs features. Before changing docs or code, propose the concrete review plan and wait for user approval unless the user already approved the exact phase plan.
npx ai-devkit@latest lint before phase work.npx ai-devkit@latest lint --feature <name>.git status -sb and git diff --stat.verify skill before claiming readiness.dev-lifecycle established usable task tracing, emit review phase, progress, blocker/finding, next-step, and final evidence/readiness events per task.Use for Phase 9. Take a holistic review stance: findings first, ordered by severity, grounded in file/line references.
10. Review file by file for correctness, logic, edge cases, redundancy, security, performance, error handling, and test coverage.
11. Check cross-cutting concerns: naming conventions, documentation updates, missing tests, config/migration changes.
12. Summarize blocking issues, important follow-ups, and nice-to-haves. Per finding include file, issue, impact severity, and recommendation.
13. If task tracing is available, add blockers and set blocked for blocking findings; if review passes with final evidence, close the task per task.
14. Complete final checklist: design match, no logic gaps, security addressed, integration points verified, tests cover changes, docs updated.
Done: if the checklist passes, the feature is ready to push and create a PR. If blocking issues remain, return to dev-implementation or dev-testing.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
Comprehensive GitHub code review with AI-powered swarm coordination
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
Take codeaholicguy/dev-review from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npx.
Without those the skill loads but fails at the first command.