本文へ移動
cccskills
無料GitHub で公開

dev-implementation

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.

インストール方法を見る

含まれるファイル(2)

  • SKILL.md4.1 KB
  • agents/openai.yaml241 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

AI DevKit · Exchange information with active Codex, Claude Code, and other AI agents using ai-devkit agent list, detail, and send. Use when an agent needs to find another active agent, read its recent context, send it information, or request information back.

日本語の概要は準備中です。原文の説明を表示しています。

codeaholicguy/ai-devkit1,6442026年10月9日 更新

AI DevKit · Manage running AI agents with ai-devkit agent commands. Use when an agent needs to identify itself, list agents, start workers, inspect agent detail, assign work, group agents, resume sessions, stop agents, or delegate work to other agents.

日本語の概要は準備中です。原文の説明を表示しています。

codeaholicguy/ai-devkit1,6442026年10月9日 更新

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.

日本語の概要は準備中です。原文の説明を表示しています。

codeaholicguy/ai-devkit1,6442026年10月9日 更新

AI DevKit · Check local AI DevKit readiness and run setup only when status shows onboarding or harness integration gaps.

日本語の概要は準備中です。原文の説明を表示しています。

codeaholicguy/ai-devkit1,6442026年10月9日 更新

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.

日本語の概要は準備中です。原文の説明を表示しています。

codeaholicguy/ai-devkit1,6442026年10月9日 更新

changelog

無料

AI DevKit · Update CHANGELOG.md Unreleased items from git commits since the latest release. Use when users ask to update changelog/release notes from recent commits, with one concise line per commit and commit/PR links.

日本語の概要は準備中です。原文の説明を表示しています。

codeaholicguy/ai-devkit1,6442026年10月9日 更新

codeaholicguy のスキルをすべて見る

このスキルの問題を報告する