China that country
Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/china-that-country
General SOP for common requests related to tversky, cognitive, kahneman.From its SKILL.md
npx -y skills add ECNU-ICALK/AutoSkill --skill china-that-countryAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
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SKILL.md
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china / that / country
General SOP for common requests related to tversky, cognitive, kahneman.
Prompt
Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):
- Offline OpenAI-format conversation source.
- Title: a6670364e57fd6f0ac8f22d2e81ca1c0.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):
- Describe a time when you as reporting senior manager sought others’ views on an important topic or issue.
- any specific accounting related topic
- how about getting opinion for asset related topic
- how about getting opinion for inventory in oil and gas related topic
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.