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Skill1.7k estrellas del repoactualizado 5d ago

dev-implementation

This Claude Code skill guides users through phases 5 and 7 of a structured development lifecycle using the AI DevKit tool. Phase 5 executes implementation tasks by parsing planning docs, building ordered task queues, writing tests before code, and keeping docs synchronized with changes. Phase 7 verifies that completed implementation matches the design and requirements specifications. Use this skill when implementing planned features, updating implementation documentation, verifying code alignment with design, or running the DevKit's development lifecycle phases.

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git clone --depth 1 https://github.com/codeaholicguy/ai-devkit /tmp/dev-implementation && cp -r /tmp/dev-implementation/skills/dev-implementation ~/.claude/skills/dev-implementation
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SKILL.md

# 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.

## Phase Contract

1. Run `npx ai-devkit@latest lint` before phase work.
2. If working on a named feature, run `npx ai-devkit@latest lint --feature <name>`.
3. Read requirements, design, planning, implementation, and testing docs before changes.
4. Use the `tdd` skill while executing implementation tasks: write a failing test before production code, then make it pass.
5. Apply the `verify` skill before completing tasks or making implementation alignment claims.
6. Keep testing and implementation docs in lockstep with code. Do not defer all doc updates to final verification.
7. If parent `dev-lifecycle` established usable task tracing, emit phase, progress, next-step, blocker, and evidence events per `task`.

## Execute Plan

Use for Phase 5.

1. Run `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`.
2. Gather context: feature name, planning doc path, supporting docs, current branch, and current diff.
3. Parse task lists and build an ordered queue by section.
4. Present the task queue with status: `todo`, `in-progress`, `done`, `blocked`.
5. For each task, show context, suggest relevant docs, and outline sub-steps from the design doc when useful.
6. If task tracing is available, record current task progress and immediate next action per `task`.
7. Reuse before writing: grep for existing utilities/functions before adding new ones. Reuse only if it fits cleanly.
8. Subtract before adding: delete dead paths, redundant guards, stale tests, and one-caller wrappers when they are in task scope.
9. Handle breaking changes carefully: update all in-repo callers atomically and delete the old internal API; for external/public/cross-service callers, add a new function and deprecate the old one.
10. Model the domain when implementation friction repeats: replace synchronized flags, branch growth, or duplicated shape assumptions with the smallest domain structure that removes them.
11. Generate a markdown tracking snippet after each status change.
12. 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.
13. After each section, ask if new tasks were discovered.
14. 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`.

## Check Implementation

Use for Phase 7.

1. Compare implementation against the configured design and requirements docs validated by `npx ai-devkit@latest lint --feature <name>`.
2. Gather context: feature description, modified files, relevant design/requirements docs, constraints.
3. Summarize design: key decisions, components, interfaces, data flows.
4. Review file by file: verify design intent, note deviations, flag logic gaps, edge cases, security issues, and missing tests or doc updates.
5. Treat repeated implementation friction as a redesign signal, not another patch, and return to design when the model no longer fits.
6. Finalize the implementation doc. Verify it captures what shipped, fill gaps, and record follow-ups.
7. Summarize alignment status, deviations with severity, missing pieces, concerns, and next steps.

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.
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agent-orchestrationSkill

AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion. Use only for ongoing multi-agent coordination, not one-off list/detail/send/start/kill actions.

brainstormSkill

AI DevKit · Use when the user asks to brainstorm, ideate, generate ideas, expand options, challenge ideas, pressure-test ideas, compare concepts, narrow choices, name something, plan content angles, explore strategy, evaluate product ideas, technical approaches, experiments, or decisions.

check-implementationSlash Command

AI DevKit · Compare implementation with design and requirements docs to ensure alignment.

code-reviewSlash Command

AI DevKit · Pre-push code review against design docs.

dev-commitSkill

AI DevKit · Safe git commit workflow for AI coding agents. Use when the user asks to commit, prepare a commit, stage changes, create a PR-ready checkpoint, or finish work with a conventional commit while avoiding unrelated user changes.

dev-designSkill

AI DevKit · Design phase guidance for reviewing feature design against requirements. Use when the user wants to validate architecture, review design docs, resolve design trade-offs, or run dev-lifecycle phase 3.