her / student / victoria
General SOP for common requests related to her, student, victoria.
npx skills add ECNU-ICALK/AutoSkill --skill her-student-victoria --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.
# her / student / victoria General SOP for common requests related to her, student, victoria. ## Prompt Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) Offline OpenAI-format conversation source. 2) Title: d642330ca82cc72ff98052fd5b275c3f.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) polish the following words: Quality of Work: (Work is accurate, neat, thorough, and organized.) 8) Comments: Huixin made a good plan for her work, from architecture to implementation with detailed technical documents in the confluence page, resulting in good code delivery. 9) polish the following words: Quality of Work: (Work is accurate, neat, thorough, and organized.) 10) Comments: Huixin made a good plan for her work, from architecture to implementation with detailed technical documents on the confluence page, resulting in the excellent delivery of high-quality code. For each step, include: action, checks, and fai
- Prompt
- Triggers
- Examples
- Example 1
What does the her / student / victoria skill do?
General SOP for common requests related to her, student, victoria.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill her-student-victoria --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.