Individual skill
to-spec
将当前对话转化为 spec 并发布到项目的 issue tracker——不访谈,只综合你们已经讨论过的内容。
skills/engineering/to-spec/SKILL.md
Source commit 30fc5dbf9380144598f3593e6c1e22c713a52c2a
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 7, 2026
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Repository context
- Repository stars (not skill ratings)
- 534
- Repository last updated
- Nov 3, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agent Repository topic
- chinese Repository topic
- prompt-engineering Repository topic
- skills Repository topic
- translation Repository topic
- engineering Derived category
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SKILL.mdcore · 2,616 bytesagents/openai.yamlasset · 134 bytes
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本技能获取当前的对话上下文和对代码库的理解,产出一份 spec。不要盘问用户——只综合你已经知道的内容。
issue 跟踪器和分类标签词汇应该已经提供给你了——如果没有,告诉用户运行 `/setup-matt-pocock-skills`。
## 流程
1. 如果还没探索过,先探索仓库,了解代码库的当前状态。整个 spec 都使用项目的领域词汇表术语,并尊重你正在触碰的区域的任何 ADR。
2. 勾勒出你将测试该功能的接缝。已有接缝应优先于新接缝。用尽可能高的接缝。如果需要新接缝,在你能达到的最高点提出。代码库中的接缝越少越好——理想数量是一个。
与用户确认这些接缝符合他们的预期。
3. 用下面的模板写 spec,然后发布到项目的 issue 跟踪器。打上 `ready-for-agent` 分类标签——不需要再做分类。