agentleFS
HHU3637krHHU3637kr/skills/intent-confirmation/SKILL.md

intent-confirmation

Skill146 starsChanged 51 days agoNo licenceView on GitHub

当用户的请求在执行前需要澄清目标、边界或实现思路时使用:需求抽象、涉及架构 或设计决策、影响范围大、存在多种实现路径、可能修改重要文件、用户思路尚不清晰, 或用户明确要求先确认。也用于 R&K Flow 阶段门禁(需求对齐、plan/test-plan 确认、 归档/提交前确认)。本 skill 要求提问前先交代「我做了什么、发现了什么、要你决策 什么」,再复述理解并主动反问,帮用户补全信息并梳理代码编写思路,而不是只做 「是/否」确认,也不是不给背景就抛问题。不要用于简单问答、只读查询、明确的 小修小改、已确认 Spec 的直接执行,或用户已明确表示「直接做、不用问」。

The file

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.