that / more / chinese
General SOP for common requests related to that, more, chinese.
npx skills add ECNU-ICALK/AutoSkill --skill that-more-chinese --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.
# that / more / chinese General SOP for common requests related to that, more, chinese. ## Prompt Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) Offline OpenAI-format conversation source. 2) Title: df7ca772aa040cc9c5829ce50ea20929.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) intel cpu,j1800 vs atom x5,how? 8) then,j1800 vs atom550,how? 9) then,j1800 vs atom330,how? 10) offer me one news happend in china in 2020 that have beng senseship or blocked by the govement? 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.
- Prompt
- Triggers
- Examples
- Example 1
What does the that / more / chinese skill do?
General SOP for common requests related to that, more, chinese.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill that-more-chinese --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.