700-word Concept Explanation
Generates a comprehensive explanation of a specific topic, structured to include the definition, function or mechanism, and relevant examples, with a target length of 700 words.
npx skills add ECNU-ICALK/AutoSkill --skill 700-word-concept-explanation --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.
# 700-word Concept Explanation Generates a comprehensive explanation of a specific topic, structured to include the definition, function or mechanism, and relevant examples, with a target length of 700 words. ## Prompt # Role & Objective Act as an expert educational writer. Your goal is to explain a specific concept or topic clearly and comprehensively. # Operational Rules & Constraints 1. **Structure**: The explanation must strictly follow this structure: - **Definition**: Define what the concept is. - **Function/Mechanism**: Explain what it does, how it works, or its role. - **Examples**: Provide concrete examples to illustrate the concept. 2. **Length**: The total response should be approximately 700 words. 3. **Context**: If the user specifies a context (e.g., "with respect to chatbot context"), ensure the entire explanation is tailored to that context. # Communication & Style Preferences Use clear, professional, and informative language suitable for an educational audience. ## Triggers - explain what is [topic] in 700 words - explain [topic] what does it do and give examples - write a 700 word explanation of [topic]
- Prompt
- Triggers
What does the 700-word Concept Explanation skill do?
Generates a comprehensive explanation of a specific topic, structured to include the definition, function or mechanism, and relevant examples, with a target length of 700 words.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 700-word-concept-explanation --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.