prototype
Skill8 starsChanged 2 months agoMITView on GitHub
Build a throwaway prototype to answer a specific design, state model, or UI exploration question. Use when evaluating whether an interface feels right, exploring UI concepts, or testing logic before committing to a full spec — even if the user says \"mock this up\". Do NOT use for production implementation.
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 177 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Distinctive: line 17
Transparent State Exposure: Every action or transition must visually expose the complete underlying state payload.
- Distinctive: line 46
Key Point: Check if the component has complex transition states (choose Logic) or styling/layout decisions (choose UI).
- Distinctive: line 50
Action: Create the prototype with zero database persistence and minimal abstractions:
- Very specific: line 64
Action: Commit the prototype to a scratch branch (prototype/<name>), link it in the ticket, and keep main clean.
- Distinctive: line 65
Key Point: Never merge un-linted prototype hacks directly into main branches.
“Common” is measured: kept by at least 6 in 10 of the 177 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
Build throwaway exploratory code designed to answer a single load-bearing architectural, state machine, or UI question rapidly without production overhead.
Core Invariants
- Throwaway By Construction: Prototypes must be explicitly marked throwaway with zero production persistence or abstraction overhead.
- Branch Isolation: Separate logic/state-machine prototypes (
LOGIC.md) from visual UI variant explorations (UI.md). - Single-Command Launch: UI prototypes run with one command (
pnpm dev,bun run ...); logic prototypes are single double-clickable HTML/JS files. - Transparent State Exposure: Every action or transition must visually expose the complete underlying state payload.
- Decisions-Only Mainline Merge: Merge only the validated decision/type into main; commit the prototype code to a separate scratch branch.
Architecture & Map of Content (MOC)
[ Load-Bearing Design Question ] ──► [ Select Exploration Branch ] ──► [ Minimal Runnable Prototype ] ──► [ Extract Settled Decision ]
│
┌────────────────────────┴────────────────────────┐
▼ ▼
[ Logic / State Prototype ] [ UI Variant Explorer ]
- Single HTML/JS file - Multi-variant route
- Free-play + guided tabs - Bottom floating bar
- Full state visualizer - URL parameter toggle| Branch | Question Answered | Artifact Format |
| Logic / State | "Does this state machine or business rule feel right?" | skills/prototype/LOGIC.md |
| UI Variations | "What should this visual interaction look like?" | skills/prototype/UI.md |
Step-by-Step Procedure (TWI)
Step 1: Identify the Question & Exploration Branch
- Action: Determine whether the core uncertainty is logical/stateful or visual/experiential.
- Key Point: Check if the component has complex transition states (choose Logic) or styling/layout decisions (choose UI).
- Why: Choosing the wrong format wastes time building UI for logical edge cases or state machines for static layouts.
Step 2: Implement the Minimal Runnable Prototype
- Action: Create the prototype with zero database persistence and minimal abstractions:
- Logic: Self-contained HTML with state buttons, transition logs, and guided walkthrough scenarios.
- UI: Dedicated scratch route with 2–4 radically different variants toggled via query params.
- Inline Checklist:
- Marked as throwaway in filenames and comments
- Launches via single standard command or browser click
- Displays live internal state on every interaction
Step 3: Interactive Evaluation & Decision Extraction
- Action: Walk the user through the prototype to evaluate edge cases and record the verdict.
- Key Point: Extract the validated data shape, state machine reducer, or component layout into the issue tracker or spec.
- Why: Capturing the distilled finding prevents throwaway prototype code from accidentally morphing into production spaghetti.
Step 4: Archive Prototype & Clean Main
- Action: Commit the prototype to a scratch branch (
prototype/<name>), link it in the ticket, and keepmainclean. - Key Point: Never merge un-linted prototype hacks directly into main branches.
- Why: Strict separation keeps the main codebase pristine while retaining historical design context.
Anti-Rationalization Guardrails
| Tempting Rationalization | Binding Rule | Engineering Rationale |
| "Let's build this prototype directly inside the main production file." | Forbidden. Keep prototypes in isolated scratch paths. | Inlining prototypes into production code creates accidental dependencies and tech debt. |
| "Add full unit tests and error handling to the prototype." | Skip production hardening in throwaway prototypes. | Hardening exploratory code slows learning cycles and creates emotional attachment. |
| "Merge the entire prototype into main since it works." | Extract decisions only; archive prototype branch. | Prototypes lack production safety, validation, error boundaries, and documentation. |
Other versions193 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 193
- mattpocock/skills★ 309ksame name
- emilkowalski/skill★ 53ksame name
- emilkowalski/skills★ 53ksame name
- QuivrHQ/quivr★ 40ksame name
- Donchitos/Claude-Code-Game-Studios★ 27ksame name
- GreyDGL/PentestGPT★ 16ksame name
- spree/spree★ 16ksame name
- usekaneo/kaneo★ 9.7ksame name
- podman-desktop/podman-desktop★ 8.1ksame name
- ArcReel/ArcReel★ 6ksame name
183 more not listed
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.
Used alongsideProjects with it also use playtest-report, soak-test and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
CoralGameSkillplaytest-report
Generates a structured playtest report template or analyzes existing playtest notes into a structured format. Use this to standardize playtest feedback collection and analysis.
Also in 12 projects that use this
lilangMaxSkillsoak-test
Generate a soak test protocol for extended play sessions. Defines what to observe, measure, and log during long play sessions to surface slow leaks, fatigue effects, and edge cases that only appear after sustained play. Primarily used in Polish and Release phases.
Also in 9 projects that use this
lilangMaxSkillteam-live-ops
Orchestrate the live-ops team for post-launch content planning: coordinates live-ops-designer, economy-designer, analytics-engineer, community-manager, writer, and narrative-director to design and plan a season, event, or live content update.
Also in 9 projects that use this
CoralGameSkillteam-polish
Orchestrate the polish team: coordinates performance-analyst, technical-artist, sound-designer, and qa-tester to optimize, polish, and harden a feature or area for release quality.
Also in 14 projects that use this
- +5 more from lilangMax
- +3 more from CoralGame
In this repository42 other files it gives its agents.
- AGENTS.mdAGENTS.md
- ai-data-remediationSkill
- ai-engineeringSkill
- codebase-designSkill
- code-reviewSkill
- diagnosing-bugsSkill
- domain-modelingSkill
- engineering-workflow-guideSkill
- git-safety-guardrailsSkill
- goalSkill
- grillingSkill
- grill-meSkill
- grill-with-docsSkill
- handoffSkill
- implementSkill
- implement-specSkill
- improve-codebase-architectureSkill
- j-spaceSkill
- migrate-to-shoehornSkill
- ml-best-practicesSkill
- researchSkill
- resolving-merge-conflictsSkill
- retroSkill
- scaffold-exercisesSkill
- setup-engineering-workflowsSkill
- setup-pre-commitSkill
- setup-ts-deep-modulesSkill
- skill-conductorSkill
- tddSkill
- teachSkill
- to-questionnaireSkill
- to-specSkill
- to-ticketsSkill
- triageSkill
- wait-whatSkill
- wayfinderSkill
- wizardSkill
- workflow-designerSkill
- writing-beatsSkill
- writing-for-agentsSkill
- writing-fragmentsSkill
- writing-shapeSkill
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.

