agentleFS
WenWuZhiDaoWenWuZhiDao/mattpocock-skills-zh/skills/engineering/research/SKILL.md

research

Skill27 starsChanged 3 months agoMITView on GitHub

针对高可信度的一手来源调查一个问题,并把发现记录为仓库中的一个 Markdown 文件。当用户想要调研某个主题、收集文档或 API 事实,或把阅读跑腿活交给后台 agent 时使用。

Files
SKILL.md

启动一个后台 agent 来做这项研究,好让它读的时候你继续干活。

它的任务:

  1. 针对一手来源调查这个问题——官方文档、源代码、规范、第一方 API——而不是它们的二手转述。把每一条论断都追溯回拥有它的来源。
  2. 把发现写进单个 Markdown 文件,为每条论断标注来源。
  3. 把它存到仓库已经存放此类笔记的地方;匹配既有约定,如果没有,就放在一个合理的地方并说明放在了哪里。

Download now (ZIP)

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.