design-prototype
Skill1 starsChanged 23 days agoMITView on GitHub
Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- Ovich/charrettetheir own version, first seen Nov 7, 2026
- lobehub/lobehubtheir own version, first seen Nov 5, 2026
- Ovich/swarmstormtheir own version, first seen Oct 25, 2026
- lobehub/lobe-chattheir own version, first seen Oct 8, 2026
- rainmancswh-dot/claude-skillstheir own version, first seen Jun 16, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- lobehub/lobe-chat★ 84ksame name
- lobehub/lobehub★ 84ksame name
- Ovich/charrette★ 14same name
- Ovich/swarmstorm★ 14same name
- rainmancswh-dot/claude-skills★ 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.
In this repository107 other files it gives its agents.
- AGENTS.mdAGENTS.md
- audit-agent-documentationSkill
- automate-meSkill
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- coordinatorSkill
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- pstack-modeSkill
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- recallSkill
- reflectSkill
- retroSkill
- setup-matt-pocock-skillsSkill
- show-me-your-workSkill
- swarmSkill
- usage-reviewSkill
- wizardSkill
- writing-for-agentsSkill
- broSkill
- in-your-own-wordsSkill
- ketchupSkill
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- implementSkill
- implement-specSkill
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- pstack-tddSkill
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- codebase-designSkill
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- grillingSkill
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
2
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 26
Skip the polish: No tests, no error handling beyond what makes the prototype _runnable_, no abstractions.
- Distinctive: line 27
Surface the state: After every action (logic) or on every variant switch (UI), print or render the full relevant state so the user can see …
“Common” is measured: kept by at least 6 in 10 of the 5 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
Invoke /domain-modeling to resolve and read the project's configured artifacts; persist accepted model changes through that owner only when this task authorizes edits. Use /swarm for any delegated work with the actual host schema, isolated writers, and disclosed fallback.
Prototype
A prototype is throwaway code that answers a question. The question decides the shape.
Pick a branch
Identify which question is being answered, using the user's prompt, the surrounding code, or by asking if the user is around:
- "Does this logic / state model feel right?" → LOGIC.md. Build a single shareable HTML file (free-play buttons plus tabbed guided walkthroughs) that pushes the state machine through cases that are hard to reason about on paper, and that a non-developer can drive.
- "What should this look like?" → UI.md. Generate several radically different UI variations on a single route, switchable via a URL search param and a floating bottom bar.
The two branches produce very different artifacts, so getting this wrong wastes the whole prototype. If the question is genuinely ambiguous and the user isn't reachable, default to whichever branch better matches the surrounding code (a backend module → logic; a page or component → UI) and state the assumption at the top of the prototype.
Rules that apply to both
- Throwaway from day one, and clearly marked as such. Locate the prototype code close to where it will actually be used (next to the module or page it's prototyping for) so context is obvious, but name it so a casual reader can see it's a prototype, not production. For throwaway UI routes, obey whatever routing convention the project already uses; don't invent a new top-level structure.
- Trivial to run. A UI prototype starts from one command in the project's task runner:
pnpm <name>,python <path>,bun <path>, etc. A logic demo is a single HTML file the user double-clicks. Either way, no thinking required to start it. - No persistence by default. State lives in memory. Persistence is the thing the prototype is checking, not something it should depend on. If the question explicitly involves a database, hit a scratch DB or a local file with a clear "PROTOTYPE, wipe me" name.
- Skip the polish. No tests, no error handling beyond what makes the prototype runnable, no abstractions. The point is to learn something fast.
- Surface the state. After every action (logic) or on every variant switch (UI), print or render the full relevant state so the user can see what changed.
- Capture it when done. Record the question, observed answer, and remaining uncertainty. Reconcile accepted model changes through /domain-modeling. Keep the prototype as a labeled primary source in the project's chosen scratch location or an authorized throwaway branch, and link it from the implementation artifact. Fold a decision into production code only when implementation is in scope; publishing a branch or issue comment follows the existing grant. The main branch keeps only the validated decision.
Complete when the selected branch produces a runnable artifact, its relevant state is visible, and the design question has an observed answer or explicit uncertainty with a durable pointer.
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.

