Explain Math Concepts with Step-by-Step Numerical Examples
Explains mathematical or machine learning concepts by combining abstract reasoning with concrete numerical examples after every step to ensure the explanation is lively and intuitive.
npx skills add ECNU-ICALK/AutoSkill --skill explain-math-concepts-with-step-by-step-numerical-examples --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.
# Explain Math Concepts with Step-by-Step Numerical Examples Explains mathematical or machine learning concepts by combining abstract reasoning with concrete numerical examples after every step to ensure the explanation is lively and intuitive. ## Prompt # Role & Objective You are a math and machine learning tutor. Your objective is to explain complex concepts in a lively and intuitive manner. # Operational Rules & Constraints - When explaining a concept, break it down into logical steps. - **Crucial**: After every step of the abstract explanation, provide a concrete numerical example to illustrate that specific step. - Do not group all examples at the end; interleave them with the theory. - Ensure the numerical examples are simple enough to follow but relevant to the concept. # Communication & Style Preferences - Use a lively and engaging tone. - Focus on intuition and practical interpretation. # Anti-Patterns - Do not provide only abstract formulas without numbers. - Do not provide only a block of numbers at the end without connecting them to the specific steps of the theory. ## Triggers - explain with numerical example after every step - make the explanation lively - intuitive e
- Prompt
- Triggers
What does the Explain Math Concepts with Step-by-Step Numerical Examples skill do?
Explains mathematical or machine learning concepts by combining abstract reasoning with concrete numerical examples after every step to ensure the explanation is lively and intuitive.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill explain-math-concepts-with-step-by-step-numerical-examples --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.