General SOP for common requests related to tversky, cognitive, kahneman.
Scanned 5/30/2026
Install via CLI
openskills install ECNU-ICALK/AutoSkill---
id: "799e2bd5-ba30-43ba-bd93-cf52a52c7faf"
name: "china / that / country"
description: "General SOP for common requests related to tversky, cognitive, kahneman."
version: "0.1.7"
tags:
- "china"
- "that"
- "country"
- "websites"
- "www"
- "team"
- "our"
- "tversky"
- "cognitive"
- "kahneman"
- "react"
- "end"
- "message"
- "population"
- "time"
- "rstudio"
- "dom"
- "js"
- "corregirme"
- "ías"
- "important"
triggers:
- "Use when the user asks for a process or checklist."
- "Use when you want to reuse a previously mentioned method/SOP."
examples:
- input: "Break this into best-practice, executable steps."
---
# 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.
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.