SOP for analyzing offline conversation logs to answer queries about Chinese internet accessibility, blocked sites, and browser popularity.
Scanned 5/30/2026
Install via CLI
openskills install ECNU-ICALK/AutoSkill---
id: "019aec84-073d-40d7-acd9-20817baf9de2"
name: "chinese_internet_sop"
description: "SOP for analyzing offline conversation logs to answer queries about Chinese internet accessibility, blocked sites, and browser popularity."
version: "0.1.1"
tags:
- "http"
- "com"
- "browser"
- "tencent"
- "chinese"
- "sop"
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."
---
# chinese_internet_sop
SOP for analyzing offline conversation logs to answer queries about Chinese internet accessibility, blocked sites, and browser popularity.
## Prompt
Follow this SOP for analyzing offline OpenAI conversation sources (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION> or <SOURCE_ID>):
1) Identify the Offline OpenAI-format conversation source.
2) Title: Use the specific source ID (e.g., <SOURCE_ID>).
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 (Evidence Scope):
- Links and names blocked in China (e.g., YouTube).
- Requests for more information ("give me more").
- Specific browser inquiries (e.g., Tencent Browser, QQ Browser).
- Origin verification (e.g., "is this from Taiwan?").
- Popularity and ranking in China.
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.