AutoSkill china / that / country

General SOP for common requests related to tversky, cognitive, kahneman.

install
source · Clone the upstream repo
git clone https://github.com/ECNU-ICALK/AutoSkill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/china-that-country" ~/.claude/skills/ecnu-icalk-autoskill-china-that-country && rm -rf "$T"
manifest: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/china-that-country/SKILL.md
source content

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>):

  1. Offline OpenAI-format conversation source.
  2. Title: a6670364e57fd6f0ac8f22d2e81ca1c0.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. Describe a time when you as reporting senior manager sought others’ views on an important topic or issue.
  8. any specific accounting related topic
  9. how about getting opinion for asset related topic
  10. 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.