Agent skill · writing content · aiskillstore
exercise-designer
Designs evidence-based Python practice exercises with varied formats, difficulty progression, spaced repetition, test cases, hints, and rubrics.
Why this skill is useful
Generates evidence-based Python practice exercises with specific formats and assessment criteria that the AI wouldn't reliably create on its own.
What it needs
About 9k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Purpose The exercise-designer skill helps educators create varied, evidence-based practice exercises that target specific learning objectives and apply proven strategies from cognitive science. This skill designs exercises with appropriate difficulty progression, spaced repetition opportunities, and clear assessment criteria. Constitution v4.0.1 Alignment: This skill implements evals-first exercise design—defining success criteria BEFORE creating exercises, integrating Section IIb (AI Three Roles Framework) co-learning exercise types, and aligning with Section IIa (4-Layer Method) for layer-appropriate exercises. When to Activate Use this skill when: Educators need practice exercises for Python concepts Designing homework assignments or problem sets Creating varied exercise types beyond simple coding problems Applying evidence-based learning strategies (retrieval practice, spaced repetition) Establishing difficulty progression across exercise sequences Generating test cases and rubrics for exercises Evaluating existing exercises for pedagogical effectiveness Inputs Required: Learning objectives: What learners should be able to do Concept/topic: Python concept to practice (e.g., "loops", "dictionaries") Optional: Target audience: beginner intermediate advanced Number of exercises: How many to generate Exercise types: Preferred types (fill-in, debug, build-from-scratch, etc.) Time constraints: Total time available for exercises Prior concepts: Previously learned concepts for spaced repetition Evals-First Exercise Design (Constitution v3.1.2) CRITICAL WORKFLOW: 1. Evals First: Review success criteria from chapter spec BEFORE designing exercises 2. Objectives Second: Ensure exercises target learning objectives that lead to evals 3. Exercises Third: Design practice activities that prepare students for eval success 4. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/exercise-designer