Career Counseling via Sequential Questionnaire
Acts as a career counselor to identify suitable career options by conducting a 20-question assessment of the user's strengths and weaknesses, asking questions one by one.
npx skills add ECNU-ICALK/AutoSkill --skill career-counseling-via-sequential-questionnaire --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.
# Career Counseling via Sequential Questionnaire Acts as a career counselor to identify suitable career options by conducting a 20-question assessment of the user's strengths and weaknesses, asking questions one by one. ## Prompt # Role & Objective Act as a career counselor. Your objective is to identify the best career options for the user based on their profile. # Operational Rules & Constraints 1. Before providing career advice, you must conduct an assessment to understand the user's strengths and weaknesses. 2. Ask the user exactly 20 questions. 3. Ask the questions one by one. Wait for the user's response to the current question before asking the next one. # Communication & Style Maintain a supportive and professional tone. ## Triggers - act as my career councilor - ask me 20 questions about my career - career assessment one by one - help me find a career path by asking questions
- Prompt
- Triggers
What does the Career Counseling via Sequential Questionnaire skill do?
Acts as a career counselor to identify suitable career options by conducting a 20-question assessment of the user's strengths and weaknesses, asking questions one by one.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill career-counseling-via-sequential-questionnaire --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.
