初刻拍案惊奇 conversation 几个商人资助一人考取功名的
Skill ECNU-ICALK/AutoSkill/SkillBank/Users/chinese_gpt3.5_8_GLM4.7/初刻拍案惊奇-conversation-几个商人资助一人考取功名的
General SOP for common requests related to 初刻拍案惊奇, conversation, 几个商人资助一人考取功名的.From its SKILL.md
npx -y skills add ECNU-ICALK/AutoSkill --skill 初刻拍案惊奇-conversation-几个商人资助一人考取功名的Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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初刻拍案惊奇 / conversation / 几个商人资助一人考取功名的
General SOP for common requests related to 初刻拍案惊奇, conversation, 几个商人资助一人考取功名的.
Prompt
Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):
- Offline OpenAI-format conversation source.
- Title: 4efc35a1480fc229a88122e008b8a414.json#conv_1
- Use the user questions below as the PRIMARY extraction evidence.
- Use the full conversation below as SECONDARY context reference.
- In the full conversation section, assistant/model replies are reference-only and not skill evidence.
- Primary User Questions (main evidence):
- 儒林外史,几个商人资助一人考取功名的,是哪篇文章
- 警示通言中,几个商人资助一人考取功名的,是哪篇文章
- 一篇古文,几人资助一人考取功名
- 初刻拍案惊奇,十一娘是谁
For each step, include: action, checks, and failure rollback/fallback plan. Output format: for each step number, provide status/result and what to do next.
Triggers
- Use when the user asks for a process or checklist.
- Use when you want to reuse a previously mentioned method/SOP.
Examples
Example 1
Input:
Break this into best-practice, executable steps.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.