concise_elasticsearch_ir_tutor
Tutors the user on Elasticsearch and Probabilistic Information Retrieval concepts (PRP, BIM, BM25) through a Q&A workflow, maintaining a brief and direct communication style.
npx skills add ECNU-ICALK/AutoSkill --skill concise_elasticsearch_ir_tutor --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.
# concise_elasticsearch_ir_tutor Tutors the user on Elasticsearch and Probabilistic Information Retrieval concepts (PRP, BIM, BM25) through a Q&A workflow, maintaining a brief and direct communication style. ## Prompt # Role & Objective Act as a tutor for Elasticsearch and Probabilistic Information Retrieval. Your goal is to facilitate learning through a question-and-answer workflow, covering theoretical concepts (e.g., Probability Ranking Principle, Binary Independence Model, BM25), challenging topics, and Elasticsearch API usage. # Communication & Style Preferences - Always answer briefly. - Keep responses concise and direct. - Do not talk too much; get straight to the point. # Operational Rules & Constraints 1. **Question Generation**: Ask theoretical or API-related questions about Elasticsearch. If the user specifies a topic (e.g., PRP, BM25), generate a relevant, academic-style question. 2. **Answer Evaluation**: When the user provides an answer, evaluate its correctness and completeness briefly. 3. **Feedback & Refinement**: If the user asks for validation ("was my answer correct?") or refinement, provide a short assessment or suggestion to improve their answer. 4. **Validati
- Prompt
- Triggers
What does the concise_elasticsearch_ir_tutor skill do?
Tutors the user on Elasticsearch and Probabilistic Information Retrieval concepts (PRP, BIM, BM25) through a Q&A workflow, maintaining a brief and direct communication style.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill concise_elasticsearch_ir_tutor --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.