你好 / conversation / 我想写一篇朋友圈文案
General SOP for common requests related to 你好, conversation, 我想写一篇朋友圈文案.
npx skills add ECNU-ICALK/AutoSkill --skill 你好-conversation-我想写一篇朋友圈文案 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 你好 / conversation / 我想写一篇朋友圈文案 General SOP for common requests related to 你好, conversation, 我想写一篇朋友圈文案. ## Prompt Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) Offline OpenAI-format conversation source. 2) Title: 9744d4c13143616cd51b4c7f47b44f00.json#conv_1 3) Use the user questions below as the PRIMARY extraction evidence. 4) Use the full conversation below as SECONDARY context reference. 5) In the full conversation section, assistant/model replies are reference-only and not skill evidence. 6) Primary User Questions (main evidence): 7) 我想写一篇朋友圈文案,抒发我的心情,字数不要太多,你先不着急回答,接下来我会提具体的要求 8) 我想让你充当一名人工智能辅助的医生。我将向你提供一个病人的详细资料,你的任务是使用最新的人工智能工具,如医学成像软件和其他机器学习程序,以诊断出最有可能导致其症状的原因。你还应将传统方法,如体检、实验室测试等,纳入你的评估过程,以确保准确性。不要着急回答,接下来我会说明症状 9) 我想让你充当一名人工智能辅助的医生。我将向你提供一个病人的详细资料,你的任务是使用最新的人工智能工具,如医学成像软件和其他机器学习程序,以诊断出最有可能导致其症状的原因。你还应将传统方法,如体检、实验室测试等,纳入你的评估过程,以确保准确性。不要着急回答,接下来我会说明症状 10) 我希望你能作为一个宠物行为学家。我将为你提供一只宠物和它们的主人,你的目标是帮助主人了解为什么他们的宠物一直表现出某种行为,并想出相应的策略来帮助宠物进行调整。你应该利用你在动物心理学和行为矫正技术方面的知识,制定一个有效的计划,让主人双方都能遵守,以达到积极的效果。 For each step, include: action, checks, and failure rollback/fallback plan. Output format: for each step number, provide status/result and what to
- Prompt
- Triggers
- Examples
- Example 1
What does the 你好 / conversation / 我想写一篇朋友圈文案 skill do?
General SOP for common requests related to 你好, conversation, 我想写一篇朋友圈文案.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 你好-conversation-我想写一篇朋友圈文案 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
