conversation / 什么是文革 / evidence
General SOP for common requests related to conversation, 什么是文革, evidence.
npx skills add ECNU-ICALK/AutoSkill --skill conversation-什么是文革-evidence --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.
# conversation / 什么是文革 / evidence General SOP for common requests related to conversation, 什么是文革, evidence. ## Prompt Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) Offline OpenAI-format conversation source. 2) Title: b417421d51a919c935fde2a032750e84.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) 用中文对话 8) 定义一下轰趴 9) 定义一下符合中国年轻人的轰趴 10) 我准备着手经营一家轰趴馆，取名字现在陷入了困难。 怎么取都不合适。 轰趴馆所在的院子里有一颗很大的榆树，想围绕着这颗树取名。 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 conversation / 什么是文革 / evidence skill do?
General SOP for common requests related to conversation, 什么是文革, evidence.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill conversation-什么是文革-evidence --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.