AutoSkill chinese_internet_sop
SOP for analyzing offline conversation logs to answer queries about Chinese internet accessibility, blocked sites, and browser popularity.
install
source · Clone the upstream repo
git clone https://github.com/ECNU-ICALK/AutoSkill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/chinese_internet_sop" ~/.claude/skills/ecnu-icalk-autoskill-chinese-internet-sop && rm -rf "$T"
manifest:
SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/chinese_internet_sop/SKILL.mdsource content
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>):
- Identify the Offline OpenAI-format conversation source.
- Title: Use the specific source ID (e.g., <SOURCE_ID>).
- Use the user questions below as the PRIMARY extraction evidence.
- Use the full conversation below as SECONDARY context reference.
- In the full conversation section, assistant/model replies are reference-only and not skill evidence.
- 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.