bydata-wise· 23 skills
Evidence-based framework for transforming technical statistical papers into pedagogically-sound lessons using cognitive learning principles (dual coding, worked examples, progressive complexity). Includes a Paper-Type Dial (Section 0) that calibrates section emphasis for theory/proof papers, applied/simulation papers, methods papers, and hybrid papers — automatically adding a proof-strategy walkthrough for theory-heavy work. Use when designing lectures, handouts, or course materials to introduce new statistical techniques, methods, or complex concepts at any level. Apply for STAT 579 materials, journal club discussions, research seminars, flipped classroom preparation, or when a [teach-paper] handoff block is provided.
$npx -y skills add data-wise/scholar --skill statistical-pedagogy-frameworkInstalls into the current project.
Run `npx skills use "https://github.com/data-wise/scholar" --skill "data-wise/scholar/statistical-pedagogy-framework"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/data-wise/scholar" that are relevant to the current task. Run `npx skills add "https://github.com/data-wise/scholar"` and select the relevant skills, then follow their instructions.