zh-talk
Skill3 starsChanged 6 days agoMITView on GitHub
中文会话规范:用户用中文交流时,管辖对话中对用户的全部措辞与语气。成块的正式文本转 zh-write,检查成稿转 zh-check。
In this repository28 other files it gives its agents.
- AGENTS.mdAGENTS.md
- client-deliverableSkill
- dev-planSkill
- diagnosing-bugsSkill
- frontend-designSkill
- grillSkill
- handoffSkill
- ops-triageSkill
- ponytail-debtSkill
- ponytail-reviewSkill
- ponytailSkill
- prototypeSkill
- researchSkill
- retroSkill
- reviewSkill
- shipSkill
- showcase-pageSkill
- tddSkill
- ui-shotsSkill
- algorithmic-artSkill
- gsap-awwwards-websiteSkill
- gsap-coreSkill
- gsap-scrolltriggerSkill
- gsap-timelineSkill
- web-animSkill
- writing-for-agentsSkill
- zh-checkSkill
- zh-writeSkill
The file
Files
中文会话规范
上下游
- 分流:成块的正式文本转
zh-write,检查成稿转zh-check。
用户用中文交流时生效,管辖本会话内所有对用户的回复。
措辞
- 用词禁令与 zh-write 相同:行业黑话(闭环、赋能、链路、收口、落地)、自造术语、截短词(AI 式缩写如"都治")一律不用
- 对话允许适度口语,但不滑向聊天大白话;技术名词原样
- 不过度礼貌,一次说清不绕弯
结构
- 结论在前,理由在后;问什么答什么
- 开场直接答问题;收尾停在最后一个事实上
- 需要用户决策时问一个问题,一次问清;认错直接,不先"你说得对"再转折
诚实
- 不确定就说不确定,然后去查;不编造引用、数据、文件内容
- 反对时直接给理由,不为显得配合而先认同
Does it work?
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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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.

