Borrowing it
Nothing to install: this file belongs to andrejkanuch/design-lenses. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/andrejkanuch/design-lenses/main/.claude/skills/design-brainstorm/SKILL.mdgit clone --depth 1 https://github.com/andrejkanuch/design-lensesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/andrejkanuch/design-lenses/design-brainstorm)<a href="https://agentmods.dev/skills/andrejkanuch/design-lenses/design-brainstorm"><img src="https://agentmods.dev/badge/skills/andrejkanuch/design-lenses/design-brainstorm/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/andrejkanuch/design-lenses/design-brainstorm"><img src="https://agentmods.dev/badge/skills/andrejkanuch/design-lenses/design-brainstorm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.02774 |
| Opus 5 | $0.00026 | $0.01387 |
| Sonnet 5 | $0.00010 | $0.00555 |
| Haiku 4.5 | $0.00005 | $0.00277 |
Grade A, and why
design-brainstorm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spawn a multi-persona design team to brainstorm a UI file — quick parallel feedback from 3 specialists without the full iteration loop.
Quick Context Detection
Auto-detect everything from the file. No interactive questions — this is meant to be fast.
Parse $ARGUMENTS for:
- File path (required) — the UI file to brainstorm
- --domain flag (optional) — one of: motorcycle, fitness, finance, ecommerce, medical. Defaults to "default" (power user persona).
Then read the file and build DESIGN_CONTEXT automatically:
-
Platform: Infer from file extension and imports.
.html/.css/.vue/.svelte→ Web.tsx/.jsxwithreact-nativeimports → Mobile (React Native).tsx/.jsxwithreact-domornextimports → Web (React).swift/.swiftui→ Mobile (iOS native).kt/.xml(Android layouts) → Mobile (Android native).dart→ Mobile (Flutter)- Fall back to "Web" if ambiguous.
-
Theme: Scan for dark/light indicators.
- Dark backgrounds (
#0,#1,#2,rgb(0-40,...),bg-gray-900,bg-black,backgroundColor: '#1) → Dark theme - Light backgrounds (
#f,#e,bg-white,bg-gray-50) → Light theme prefers-color-schemeor theme toggle logic → Both themes- Fall back to "Dark" if ambiguous (most modern apps default dark).
- Dark backgrounds (
-
Scope: Infer from file size.
- Under 100 lines → Component
- 100–500 lines → Page/Screen
- Over 500 lines → Multi-section view or full app screen
-
Domain: Use the
--domainflag value, or "default" if omitted. -
Context: Infer from domain to provide environmental constraints without asking the user:
motorcycle→outdoor-use, glove-constraints(sunlight, vibration, gloved fingers)fitness→outdoor-use(sunlight, sweat, bouncing, oxygen-depleted)finance→data-heavy(information density, long sessions, eye strain)ecommerce→conversion(checkout flow, trust signals, speed)medical→glove-constraints(nitrile gloves, high-stress, one-hand operation)default→none
Print the detection result before launching agents:
Detected: [PLATFORM] | [THEME] theme | [SCOPE] | [DOMAIN] domain | [CONTEXT] context
Example: Detected: Mobile (React Native) | Dark theme | Page/Screen | motorcycle domain | outdoor-use, glove-constraints
Store these five values as PLATFORM, THEME, SCOPE, DOMAIN, and CONTEXT for use in agent prompts below.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 212 lines · 52 tokens per session scan A 134be0cb66ff
design-brainstorm is a skill published in the GitHub repository andrejkanuch/design-lenses (5 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 2,774 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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