chinese_internet_sop
SOP for analyzing offline conversation logs to answer queries about Chinese internet accessibility, blocked sites, and browser popularity.
npx skills add ECNU-ICALK/AutoSkill --skill chinese_internet_sop --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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.
- Prompt
- Triggers
- Examples
- Example 1
What does the chinese_internet_sop skill do?
SOP for analyzing offline conversation logs to answer queries about Chinese internet accessibility, blocked sites, and browser popularity.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill chinese_internet_sop --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
