required / content / course
General SOP for common requests related to required, content, course.
npx skills add ECNU-ICALK/AutoSkill --skill required-content-course --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.
# required / content / course General SOP for common requests related to required, content, course. ## Prompt Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) Offline OpenAI-format conversation source. 2) Title: e7fc75f07f93f3a3496608ad420a42a8.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) Here is some required course content. What would you teach? I would like to let you know that required course content isn't meant to be read literally but is all about the intepretation so I would include as many topic as possible that relate to the required course content. 8) Required Course Content: 9) TOPIC 1.1 10) Moles and 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. ##
- Prompt
- Triggers
- Examples
- Example 1
What does the required / content / course skill do?
General SOP for common requests related to required, content, course.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill required-content-course --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.