AI DevKit · Implementation phase guidance for executing feature plans and checking implementation against design. Use when the user wants to implement planned tasks, update implementation docs, verify code matches design, or run dev-lifecycle phases 5 and 7.
npx skills add https://github.com/codeaholicguy/ai-devkit --skill dev-implementation
Run implementation work for configured AI docs features. Before changing docs or code, propose the concrete plan for this phase 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>.tdd skill while executing implementation tasks: write a failing test before production code, then make it pass.verify skill before completing tasks or making implementation alignment claims.dev-lifecycle established usable task tracing, emit phase, progress, next-step, blocker, and evidence events per task.Use for Phase 5.
npx ai-devkit@latest lint --feature <name> and work through the planning doc path it validates. If manual path resolution is unavoidable, first resolve .ai-devkit.json paths.docs, falling back to docs/ai.todo, in-progress, done, blocked.task.10. After each task, update the testing doc with completed scenarios, newly discovered scenarios, and invalidated scenarios. Update the implementation doc with changed files, decisions, design deviations, and edge cases handled.
11. After each section, ask if new tasks were discovered.
12. Summarize completed, in-progress, blocked, skipped, new tasks, task-tracing events emitted or why tracing was unavailable, and doc deltas.
Next: after completing any task, run dev-planning Phase 6. When all tasks are done, run Check Implementation, then dev-testing and dev-review.
Use for Phase 7.
npx ai-devkit@latest lint --feature <name>.Next: dev-testing, then dev-review. If major deviations exist, return to dev-design if design is wrong or Execute Plan if implementation is wrong.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take codeaholicguy/dev-implementation 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.