Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →brycewang-stanford/curriculum-design-guide
Systematic approaches to curriculum design using backward design and alignment
Passed 15 of 23 test cases with the skill, and 10 of 23 without it.
and 7 more in the full report
6 fixed9 passed either way7 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Most grading software defaults to 'assignment' or 'exam' when an unknown Bloom verb level is encountered. In an assessment blueprint configuration where an unrecognized or non-standard cognitive verb level is supplied to the mapping generator, specify the designated default assessment type.
| Checked | Without skill | With skill |
|---|---|---|
| The fallback assessment type for unspecified cognitive levels is designated as portfolio. | Missed | Passed |
The instructions your model reads when the skill loads.
A structured skill for designing research-informed curricula using backward design, constructive alignment, and competency-based frameworks. Applicable to higher education course design, training program development, and educational research.
Understanding by Design (Wiggins & McTighe, 2005) reverses the traditional content-first approach:
Define what students should know, understand, and be able to do:
course: "Introduction to Research Methods"
big_ideas:
- "Research is a systematic process of inquiry"
- "Methodology must align with research questions"
essential_questions:
- "How do we know what we know?"
- "What makes evidence credible?"
- "When should we use qualitative vs. quantitative methods?"
learning_outcomes:
- "Formulate testable research questions (Apply)"
- "Select appropriate research designs for given questions (Evaluate)"
- "Critically appraise published research methodology (Analyze)"
- "Design and defend a research proposal (Create)"
Design assessments before planning instruction:
# Assessment blueprint generator
def create_assessment_blueprint(outcomes: list[str], bloom_levels: list[str],
weights: list[float]) -> dict:
"""
Generate an assessment blueprint mapping outcomes to
test cases passed, vs 10 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.