Individual skill
loop-me
在此 workspace 内就我想构建的工作流规格对我进行盘问。
skills/in-progress/loop-me/SKILL.md
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SKILL.mdcore · 2,693 bytesagents/openai.yamlasset · 152 bytes
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运行一个有状态的 `/grilling` 会话,其唯一输出是**工作流**规格。沿用 grilling 纪律:无休无止、一轮接一轮的问题、每题配一个推荐答案:对准下面的词汇表和目标。在 grilling 解决事情的过程中,规格会被创建、编辑、删除。
## 循环透镜
一个**循环(loop)**是用户生活中反复出现的模式:他们的职业、他们的一周、他们的早晨、一个反复出现的活动。把生活看成循环套循环,能揭示这些活动实际上有多么可预测:而这正是它们值得**委托**的原因。用这个透镜去发现值得规格化的循环,并提出用户还没注意到的循环。
一个**工作流(workflow)**是一个循环的规格,使之落地。你在一个循环上运行工作流:循环是它的运行实例。工作流存放在 `workflows/*.md`,是事实的来源。
## 词汇表
一套共享语言,只在工作流需要时才拿出来:绝不是清单。**不要强加任何结构性内容**:一个工作流不需要 AI、检查点或时间表,除非 grilling 表明它确实需要。
- **Trigger(触发器)**:每次运行的触发条件:一个**事件**(新邮件、新 issue)或一个**时间表**(每天早上)。事件触发通常更高效。
- **Checkpoint(检查点)**:一个人工介入点,在此处要求用户验证或决策。有些工作流没有检查点,完全自主;有些根本不用 AI。