Theory To Toy Cases
- 41 installs
- 1 repo stars
- Updated July 31, 2026
- jurgendn/agent-skills
Helps with ai & agent building tasks.
About
theory-to-toy-cases is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- theory-to-toy-cases
- AI & Agent Building
- AI-coding skill
Theory To Toy Cases by the numbers
- 41 all-time installs (skills.sh)
- Ranked #8,148 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
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| Installs | 41 |
|---|---|
| repo stars | ★ 1 |
| Last updated | July 31, 2026 |
| Repository | jurgendn/agent-skills ↗ |
What it does
Helps with ai & agent building tasks.
Files
Theory to Toy Cases
Make the idea concrete before scaling it up.
Workflow
1. Restate the abstract claim in the smallest possible setting. 2. Build 2-5 minimal cases:
- a friendly case where the idea should work
- a boundary case
- a failure case
- a misleading case that appears to work for the wrong reason
3. If useful, write a tiny simulation or symbolic example. 4. Compare predicted behavior vs actual behavior. 5. Extract what the toy case teaches about the full problem.
Good toy cases
Prefer cases that are:
- low-dimensional
- analytically tractable
- numerically checkable
- likely to expose hidden assumptions
Rules
- Do not use toy cases as proof.
- Say what scales and what does not.
- If a toy case fails, treat that as signal, not annoyance.
Output shape
Return:
- Abstract idea
- Minimal setup
- Cases
- What each case shows
- Implication for the full research question
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