As That Traditional

---
id: "226d9070-d23e-44c4-b569-aa84660ce80b"
name: "as / that / traditional"
description: "General SOP for common requests related to performance, behavior, sample."
version: "0.1.5"
tags:
  - "as"
  - "that"
  - "traditional"
  - "value"
  - "level"
  - "group"
  - "performance"
  - "behavior"
  - "sample"
  - "samurai"
  - "period"
  - "string"
  - "input"
  - "output"
  - "copyright"
  - "hangman"
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."
---

# as / that / traditional

General SOP for common requests related to performance, behavior, sample.

## Prompt

Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):
1) Offline OpenAI-format conversation source.
2) Title: 7d5a739c532fc7c9e5c343fc7567aaf1.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) Where is Traditional Chinese predominantly used? Is Traditional Chinese associated with Taiwan?
8) What is jenkem?
9) What does non-Euclidean really mean?
10) Can you condense your previous response to just a few sentences?

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.