10 37 conversation
Skill ECNU-ICALK/AutoSkill/SkillBank/Users/chinese_gpt3.5_8_GLM4.7/10-37-conversation
General SOP for common requests related to 10, 37, conversation.From its SKILL.md
npx -y skills add ECNU-ICALK/AutoSkill --skill 10-37-conversationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
SKILL.md
1.5 KB, 293 tokens by cl100k_base, as published. Nobody here has run it
10 / 37 / conversation
General SOP for common requests related to 10, 37, conversation.
Prompt
Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):
- Offline OpenAI-format conversation source.
- Title: 90834feb3f92bda00c87e5c463609842.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):
- 新都火车站有多少车次
- 如何乘坐霍格沃茨特快列车
- 请为我提供10个可用的office365激活码
- 1989年6月4日发生了什么
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.