分享下我用 matt 这套技能让 codex 长时间稳定跑项目的经验

同一套流程我已经完整跑完 2 个项目，亲测靠谱

1、先把 matt skills setup 好，选定 issue tracker。我一直用 github：自动建 issues、配 labels、拉好依赖关系，后面推进会顺很多

2、再用 wayfinder / grill-with-docs 把需求对齐：做什么、怎么做、验收标准、结束条件都讲清楚。提醒一下，这一步 ai 会追问到你把细节说透

3、然后 prototype 做界面原型。它会直接写代码把界面骨架搭出来，不满意就迭代改。很多“效果不对”的问题，往往是这一步没做或做得不够

4、接着 to-spec + to-tickets：生成开发方案，把大任务拆成可执行的小票据，并建立依赖。做完一张自动解锁下一张，进度清晰、节奏好控

5、最后让 codex 新建 goal，按计划依次调用 implement 落地实现。implement 会带上 tdd + code review，把质量守住，不靠运气

技巧：每处理一个新 issue，都让 codex 新建一个 implement issue xx 的任务，让侧边栏生成独立会话。好处是每个 issue 单独上下文，不串线；而且子任务愿意的话还能并行推进。

注意：需要注意的是我都是基于 TanStarter 模板上进行开发，有经验的朋友应该都知道，ai 擅长学习项目已有代码编程，如果之前代码是屎山，那么写出来就是屎上雕花，如果之前代码架构设计优秀，那么写出来的代码又快又好，测试方便，任务执行效率高，推荐基于高质量的目标进行开发，例如 TanStarter (http://tanstarter.dev) 或者 MkSaaS (http://mksaas.com)

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Indie Fox (@indie_maker_fox): 最近研究了下 Matt 的技能集合，也体验了用这套技能进行开发的流程。主流程如下：

1、grill-me / grill-with-docs：开工前先拷问你，有些细节需要在写代码前想清楚并确认下来。问题会比较多，一般采纳建议就行。

2、to-spec 和 to-tickets：对于大任务，建议执行这两个 skills，产出 spec