prototype-lab
Skill16 starsChanged 5 months agoMITView on GitHub
Build throwaway prototypes to answer a specific product, UI, state-machine, data-model, or workflow question before committing production code. Use when the user asks to prototype, explore variants, sanity-check logic, try designs, make a playable mock, or learn quickly with code that will be deleted or absorbed.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- gvastethecreator/prototype-lab-skilltheir own version, first seen Nov 1, 2026
- lglucas/ai-dev-operating-systemtheir own version, first seen Sep 28, 2026
- dkpapadopoulos/auto-claude-skillstheir own version, first seen Sep 22, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- lglucas/ai-dev-operating-system★ 12same name
- dkpapadopoulos/auto-claude-skills★ 6same name
- gvastethecreator/prototype-lab-skill★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 9 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
9
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 22
If ambiguous, state the assumption and keep the artifact easy to delete.
- Distinctive: line 27
Use one command to run.
- Distinctive: line 28
Keep state in memory unless persistence is the thing being tested.
- Distinctive: line 29
Avoid broad abstractions, production plumbing, and hidden dependencies.
- Distinctive: line 31
Do not leave prototype code mixed with production code without a decision.
- Distinctive: line 35
When exploring design, create 2-4 meaningfully different variants.
- Distinctive: line 39
When exploring state, make a terminal or local web harness that can run scripted cases and manual interactions.
- Distinctive: line 43
When the prototype answers the question:
- Distinctive: line 46
delete the prototype or identify exactly what will be absorbed into production.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Prototype Lab
A prototype answers one question. It is not production code with fewer tests.
Pick The Prototype Question
Choose the branch:
- Logic prototype: state model, workflow, parser, scoring, queue, rules, or business logic.
- UI prototype: layout direction, interaction model, variants, motion, or product feel.
- Integration prototype: unknown API/tool behavior, deployment constraint, or browser capability.
If ambiguous, state the assumption and keep the artifact easy to delete.
Rules
- Mark it as prototype/throwaway in path, UI, comments, or README.
- Use one command to run.
- Keep state in memory unless persistence is the thing being tested.
- Avoid broad abstractions, production plumbing, and hidden dependencies.
- Surface state after actions so learning is visible.
- Do not leave prototype code mixed with production code without a decision.
UI Variant Pattern
When exploring design, create 2-4 meaningfully different variants. Let the user switch via route, query param, segmented control, or small debug toolbar. Do not make tiny color-only variations.
Logic Pattern
When exploring state, make a terminal or local web harness that can run scripted cases and manual interactions. Print current state, event, output, and invariant violations.
Closeout
When the prototype answers the question:
- capture the decision in an issue, ADR, notes file, commit message, or final report;
- delete the prototype or identify exactly what will be absorbed into production;
- list what remains unproven.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

