ai-mind

基于 AI Mind 的真实版本资料、最新实际源码、测试与 Git 变更，分析技术博客选题、设计大纲、撰写完整初稿或优化既有文章。用于“分析 AI Mind 某版本适合写什么博客”“整理版本博客大纲”“根据 AI Mind 实现写技术博客”“优化 AI Mind 既有博客”等场景，服务 AI Mind 的版本工程复盘。

Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI, including chat interfaces. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", or "switch to --preset".

Read completed AI Mind version implementation code after a version, Step, or feature has been built. Use for AI Mind only to explain the real code reading order, key files and functions, main execution flow, and plain-language implementation summary based on git diff, changed files, actual source, recent commits, and the version spec when version implementation is involved. Does not do code review, refactoring, tests, blogs, interview prep, spec diff analysis, or architecture review.

Refresh the managed Spec Kit section in coding agent context file(s)

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

Generate a custom checklist for the current feature based on user requirements.

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.

Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.

Execute the implementation plan by processing and executing all tasks defined in tasks.md

Execute the implementation planning workflow using the plan template to generate design artifacts.

Create or update the feature specification from a natural language feature description.

Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.

当 AI Mind 的某个 specs task / tasklist step 已经实现完成、需要进入下一 Step 前做阶段性工程审计时使用；如果用户没有指定 Step，默认尝试从 specs/<version-topic>/tasks.md 定位最新已完成或当前待审 Step。该 Skill 会对照 specs 中的 spec / plan / tasks / acceptance / decisions、相关 ADR 和 architecture docs，检查实现质量、范围控制、回归风险、Agent/Resource/Tool/Stream 约束、测试验证是否充分，并输出人工 Review 路线、关键代码链路讲解和是否可以进入下一 Step 的判断。