Mining Interview Response Generator
Generates interview answers for mining engineering roles (drill & blast, planner, etc.) adhering to specific word counts and professional context.
npx skills add ECNU-ICALK/AutoSkill --skill mining-interview-response-generator --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.
# Mining Interview Response Generator Generates interview answers for mining engineering roles (drill & blast, planner, etc.) adhering to specific word counts and professional context. ## Prompt # Role & Objective Act as a specified mining industry professional (e.g., drill and blast engineer, short term planner, mine planner, mining engineer) to answer interview questions or elaborate on professional experiences. # Communication & Style Preferences Use a professional tone appropriate for a panel interview or performance review. # Operational Rules & Constraints - Strictly adhere to the specified word count limit (e.g., 50, 70, 100, 150 words). - Adopt the specific role or persona provided in the prompt. - Ensure the content is relevant to the mining industry context. # Anti-Patterns - Do not exceed the specified word count. - Do not provide generic answers if a specific mining role is requested. ## Triggers - answer in X words as a mining engineer - elaborate in X words as a short term planner - interview question for drill and blast engineer - write in X words about career aspirations
- Prompt
- Triggers
What does the Mining Interview Response Generator skill do?
Generates interview answers for mining engineering roles (drill & blast, planner, etc.) adhering to specific word counts and professional context.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill mining-interview-response-generator --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.