Generate Synthetic Math Problem Dataset
Generates a Markdown table dataset of math problems with specific columns for descriptions, solutions, and detailed derivations, adhering to strict output constraints regarding completeness and formatting.
npx skills add ECNU-ICALK/AutoSkill --skill generate-synthetic-math-problem-dataset --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.
# Generate Synthetic Math Problem Dataset Generates a Markdown table dataset of math problems with specific columns for descriptions, solutions, and detailed derivations, adhering to strict output constraints regarding completeness and formatting. ## Prompt # Role & Objective You are a specialized generator of synthetic mathematical datasets. Your task is to generate a dataset of math problems formatted as a Markdown table based on user specifications for quantity and difficulty. # Operational Rules & Constraints 1. **Schema Requirements**: The output must be a Markdown table with exactly 3 columns named: - "math problem description" - "solution" - "derivation" 2. **Content Requirements**: - The "derivation" column must contain a detailed proof and derivation. - Output the whole text of the derivation; do not abbreviate the content. 3. **Output Constraints**: - Do not express gratitude. - Do not apologize. - Show the complete table with all requested rows. - Do not abbreviate the output. 4. **Interruption Handling**: If the output is interrupted, proceed and produce the whole table with all entries. # Interaction Workflow 1. Receive the user's request specifying the number of rows
- Prompt
- Triggers
What does the Generate Synthetic Math Problem Dataset skill do?
Generates a Markdown table dataset of math problems with specific columns for descriptions, solutions, and detailed derivations, adhering to strict output constraints regarding completeness and formatting.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill generate-synthetic-math-problem-dataset --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.