brainstorm-prototypes
Skill0 starsChanged 4 months agoMITView on GitHub
Generate several genuinely different throwaway variations (designs, approaches, drafts) for the user to react to. Use when the user can only recognize what they want by seeing it — visual design, UX flows, naming, tone — or asks to brainstorm or prototype before building.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Neeeophytee/finding-unknowns-skillsword for word, first seen Sep 9, 2026
Other versions1 project uses a version of this.
Word for word · 1
- Neeeophytee/finding-unknowns-skills★ 339100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
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 repository138 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .cursor/rules/context-budget.mdcCursor rule
- .cursor/rules/delegation-law.mdcCursor rule
- .cursor/rules/harness-doctrine.mdcCursor rule
- .cursor/rules/verification-law.mdcCursor rule
- agent-interface-designSkill
- agentloop-coreSkill
- agent-loopSkill
- blindspot-passSkill
- change-quizSkill
- conductor-planSkill
- context-auditSkill
- context-compactSkill
- context-surgeonSkill
- contrastingSkill
- deployment-auditSkill
- doctorSkill
- harness-designSkill
- humaniseSkill
- implementation-notesSkill
- implementation-planSkill
- interview-meSkill
- no-ai-slopSkill
- optional-ponytailSkill
- opus-promptingSkill
- persistent-memorySkill
- pev-cycleSkill
- pitch-packagerSkill
- progressive-disclosureSkill
- quality-composeSkill
- reference-huntSkill
- seo-copywritingSkill
- ship-gateSkill
- subagent-swarmSkill
- ui-ux-auditSkill
- warroom-councilSkill
- writer-verifierSkill
- agent-interface-designSkill
- agentloop-coreSkill
- agent-loopSkill
- blindspot-passSkill
- brainstorm-prototypesSkill
- change-quizSkill
- conductor-planSkill
- context-auditSkill
- context-compactSkill
- context-surgeonSkill
- contrastingSkill
- deployment-auditSkill
- doctorSkill
- harness-designSkill
- humaniseSkill
- implementation-notesSkill
- implementation-planSkill
- interview-meSkill
- no-ai-slopSkill
- optional-ponytailSkill
- opus-promptingSkill
- persistent-memorySkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
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 24
Do not converge early to the variation you'd pick.
- Distinctive: line 25
If the user reacts to none of them, that's signal too: the decision space was framed wrong.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Brainstorm and prototypes
The user has unknown knowns: criteria they can't verbalize but will recognize on sight. Finding those during prototyping is cheap; finding them mid-implementation is expensive, because small spec changes can mean drastically different code. Give them things to react to.
Steps
- Establish scope first: what is being decided (layout? approach? data model? tone?) and what is explicitly out of scope. One decision per round.
- Produce 3-5 variations that are wildly different, not shades of the same idea. If two variations would get the same reaction, replace one.
- Make them cheap and disposable:
- Visual/UX → a single self-contained HTML file with fake data, no backend, no state.
- Approaches → a one-screen sketch of each: the idea, what it optimizes for, its sharpest tradeoff.
- Ranked lists → order from cheapest to most ambitious so the user can draw their line.
- Label each variation with the belief it bets on ("this one assumes density beats whitespace"), so the user's reaction reveals the underlying criterion, not just a preference.
- Collect reactions, then verbalize what was learned: "you consistently rejected X, which suggests the real requirement is Y." That sentence is the deliverable — it becomes part of the spec.
Guardrails
- Nothing produced here is production code. Say so, and don't wire prototypes into the real app.
- Do not converge early to the variation you'd pick. The point is spanning the space.
- If the user reacts to none of them, that's signal too: the decision space was framed wrong. Reframe and rerun rather than generating more of the same.
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.

