我观看了 万象对话昆明 双向奔赴的列车
Skill ECNU-ICALK/AutoSkill/SkillBank/Users/chinese_gpt3.5_8_GLM4.7/我观看了-万象对话昆明-双向奔赴的列车
General SOP for common requests related to 我观看了, 万象对话昆明, 双向奔赴的列车.From its SKILL.md
npx -y skills add ECNU-ICALK/AutoSkill --skill 我观看了-万象对话昆明-双向奔赴的列车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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我观看了 / 万象对话昆明 / 双向奔赴的列车
General SOP for common requests related to 我观看了, 万象对话昆明, 双向奔赴的列车.
Prompt
Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):
- Offline OpenAI-format conversation source.
- Title: fcc6f2ed278c867a2fa0398231d89b48.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):
- 我观看了《美议员称要提供更多武器给台湾》
- 我观看了《民进党正式提名赖清德参选2024》
- 我观看了《美议员称要提供更多武器给台湾》
- 我观看了《习近平同法国总统在广州非正式会晤》
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.