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Reverse-engineered system prompt and skill library that turns an LLM into an opinionated, accessibility-aware, AI-slop-resistant design collaborator.
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# Claude Design System Prompt Reverse-engineered system prompt of Claude Design from Anthropic. A system prompt and skill library that turns an LLM into an opinionated, accessibility-aware, AI-slop-resistant design collaborator. Open source, MIT licensed. Drop the prompt into any LLM that supports system prompts (Claude, GPT, Gemini, local models) and pair with the procedural skills as needed. ## What this is Most "design assistant" prompts produce generic SaaS-template output — aggressive gradients, emoji decoration, rounded-corner-with-left-border cards, Inter-everywhere typography. This prompt explicitly rejects those patterns and replaces them with a complete design philosophy covering: - Content discipline (no filler — every element earns its place) - Aesthetic discipline (avoid AI tropes, commit to a palette and tone) - Visual hierarchy and rhythm (size, color, weight, position, density, spacing scales) - Accessibility (WCAG, semantic HTML, keyboard navigation, focus rings, motion preferences) - Interaction and feedback (hover, active, disabled, focus, loading, validation states) - System thinking (components and tokens over one-off pages) - Respecting the medium (real CSS Grid, `oklch()`, `text-wrap: pretty`, real interactive prototypes) - Quality over quantity (depth over breadth, polish every detail) Plus 14 procedural skills the agent can invoke for production, extraction, and review work. ## What's included ``` claude-design-system-prompt/ ├── claude/ Claude Code / Claude.ai variant │ ├── system-prompt.md Main system prompt — 20 chapters │ └── skills/ 14 invokable skills │ ├── discovery-questions.md Kickoff question protocol │ ├── frontend-aesthetic-direction.md Commit to a look when no brand exists │ ├── wireframe.md Low-fi exploration, 3+ variations │ ├── make-a-deck.md Slide presentations in HTML │ ├── make-a-prototype.md Interactive clickable prototype │ ├── make-tweakable.md Floating tweak panel │ ├── generate-variations.md 3+ hi-fi variations across axes │ ├── design-system-extract.md Pull tokens from sources │ ├── component-extract.md Inventory reusable components │ ├── accessibility-audit.md WCAG, semantic, keyboard, motion │ ├── ai-slop-check.md Gradient / emoji / font / house-style trope detection │ ├── hierarchy-rhythm-review.md Size / weight / color + spacing scale │ ├── interaction-states-pass.md Hover / active / disabled / focus / loading │ └── polish-pass.md Umbrella final-gate review ├── codex/ OpenAI Codex variant (single-loop, no subagents) │ ├── AGENTS.md Codex auto-discovered entry point │ ├── system-prompt.md Same prompt, adapted for Codex │ └── skills/ Same skills, sequential reviews instead of parallel agents ├── README.md This file └── LICENSE MIT ``` ## How to use it ### Use the system prompt directly Paste the contents of `system-prompt.md` as the system prompt for any LLM that supports them. The agent will follow the design philosophy and reference the skills by name when tasks match. ### Use the skills as procedures Each skill in `skills/` is a self-contained, phased procedure. The skill name is the trigger — when the user's request matches a skill description, the agent loads that skill and follows it. Skills group into three categories: **Production** — build something `discovery-questions` · `frontend-aesthetic-direction` · `wireframe` · `make-a-deck` · `make-a-prototype` · `make-tweakable` · `generate-variations` **System** — extract structure `design-system-extract` · `component-extract` **Review** — audit and fix `accessibility-audit` · `ai-slop-ch
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matched fp:f7cb8abad2232bdc, llm:description: 'Reverse-engineered system prompt and skill library that turns an LLM into an opinionated, accessibility-aware, AI-slop-resistant design collaborator.'
matched fp:f7cb8abad2232bdc, llm:description: 'Reverse-engineered system prompt and skill library that turns an LLM into an opinionated, accessibility-aware, AI-slop-resistant design collaborator.'