paperlab-exercise-difficulty-ramp skillA
paperlab-exercise-difficulty-ramp is agent-read markdown (skill) from equinor/neqsim: Review and design PaperLab exercise sets with intentional progression from conceptual checks to calculation, design, uncertainty, and capstone tasks..
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What the file says
# PaperLab Exercise Difficulty Ramp ## When to Use USE WHEN: preparing a book for teaching, revising exercises, or checking that learning objectives are assessed with an appropriate difficulty progression. Pair with: - `paperlab-learning-objective-matrix` for objective coverage, - `paperlab-exam-alignment` for assessment fit, - `paperlab-student-readability` for student-facing wording. ## Exercise Types | Type | Student Action | |------|----------------| | concept-check | explain, define, compare | | calculation | compute a value with stated inputs | | interpretation | explain what a result means physically | | sensitivity | vary one or more inputs and compare outputs | | design-decision | choose between alternatives using constraints | | uncertainty-risk | use P10/P50/P90, risk matrix, or scenario range | | capstone | integrate multiple chapters or recurring cases | ## Difficulty Levels - `L1`: recall or identify. - `L2`: explain or classify. - `L3`: calculate with provided method. - `L4`: diagnose, compare, or justify. - `L5`: design, optimize, or evaluate uncertainty. ## Pass Criteria - Each chapter has at least one concept-check exercise. …
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How to install
mdr add equinor/neqsim/paperlab-exercise-difficulty-ramp@git:20260919.77c34a0mdr add equinor/neqsim/paperlab-exercise-difficulty-ramp@sha256:ca22b2645af19d6bPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_hfwgq47aqgnketue)
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Source
equinor/neqsim · 155 stars · license Apache-2.0 · pushed 2026-09-24 · branch master
API
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