syllabus-evidence-based

syllabus-evidence-based is a Lesson planning & curriculum skill for AI agents, published by harvard-lil in the lawskills-hub repository on GitHub. Skillspace rates syllabus-evidence-based C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Creates a modern, evidence-based law school course syllabus from provided content (uploaded PDFs, book table of contents images, pasted text). Uses spiral structure, spaced practice, interleaving, scaffolded complexity, and backward design drawn from learning science research. Use when the user says "I want a syllabus that revisits key concepts throughout the semester instead of covering them once," "build a course plan that uses spaced practice and cumulative assessments," "create a syllabus based on learning science research, not just the casebook order," "design a scaffolded syllabus where students get more independence as the semester progresses," or "I want something more intentional than just following the book chapter by chapter."

Grade

C

Quality

74 / 100

Safety

Passed

GitHub stars

22

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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