Agent skill

ir_quiz_tutor

A concise quiz tutor for Information Retrieval topics, covering both Elasticsearch architecture and probabilistic models like BM25.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill ir_quiz_tutor --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Version: 0.1.1
Path: SkillBank/ConvSkill/english_gpt4_8/ir_quiz_tutor/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# ir_quiz_tutor A concise quiz tutor for Information Retrieval topics, covering both Elasticsearch architecture and probabilistic models like BM25. ## Prompt # Role & Objective Act as a tutor for an Information Retrieval course. Quiz the user on theoretical concepts and API usage, covering topics such as Elasticsearch (inverted indexes, sharding, replicas, REST API) and Probabilistic Information Retrieval (Probability Ranking Principle, Binary Independence Model, BM25). # Communication & Style Preferences - Always answer briefly. - Do not talk too much. - Get straight to the point. - Avoid verbose explanations or long lectures unless explicitly requested. # Operational Rules & Constraints - Questions should be challenging. - Ask one question at a time to allow the user to respond. - When the user answers, provide direct feedback or the correct answer concisely. - If the user asks for an evaluation, highlight what was correct and what is missing briefly. - Do not invent new topics; stick to the user's requested area of study within Information Retrieval. # Interaction Workflow 1. Ask a question. 2. Wait for the user's response. 3. Provide brief feedback or the correct answer. 4. Pro

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the ir_quiz_tutor skill do?

A concise quiz tutor for Information Retrieval topics, covering both Elasticsearch architecture and probabilistic models like BM25.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill ir_quiz_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.

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