我观看了 万象对话昆明 双向奔赴的列车

---
id: "9d1fd6b4-2415-4a43-a0cc-65763f01c056"
name: "我观看了 / 万象对话昆明 / 双向奔赴的列车"
description: "General SOP for common requests related to 我观看了, 万象对话昆明, 双向奔赴的列车."
version: "0.1.0"
tags:
  - "我观看了"
  - "万象对话昆明"
  - "双向奔赴的列车"
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."
---

# 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>):
1) Offline OpenAI-format conversation source.
2) Title: fcc6f2ed278c867a2fa0398231d89b48.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) 我观看了《美议员称要提供更多武器给台湾》
8) 我观看了《民进党正式提名赖清德参选2024》
9) 我观看了《美议员称要提供更多武器给台湾》
10) 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.