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design-system-gen

design-system-gen is a skill for Claude Code from ZachArticulateV/designer-pro-and-seo. It costs 117 tokens per session (1,493 once invoked), scanned A, original, MIT.

A locally run tool that creates a visual design system from a product type, industry, and style keywords. It proposes layout patterns, colors, typography, effects, things to avoid, and a delivery checklist.

In plain words
What is it for?
Use it to choose a visual language for products such as SaaS sites, restaurants, or luxury brands. It can return the design system for people to read or as JSON for other tools.
Why use it?
It helps establish a consistent visual direction before building screens. It also checks color contrast against WCAG accessibility guidance.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the designer-pro-and-seo plugin — 41 skills, 14 agents, 1 MCP server shipped together

not rated 8repo 2mo ago A scan 117 tokens original MIT

Good fit Use it to choose a visual language for products such as SaaS sites, restaurants, or luxury brands. It can return the design system for people to read or as JSON for other tools.

Compare 6 skills from other repositories ↓
View source ↗ ZachArticulateV/designer-pro-and-seo
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add ZachArticulateV/designer-pro-and-seo
Claude Code
/plugin install designer-pro-and-seo

Made for: Claude Code.

Or install designer-pro-and-seo, the plugin that ships this one along with the rest of its 41 skills, 14 agents, 1 MCP server.

Wrote 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.

agentmods badge for design-system-gen

README.md
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Your own site
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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.

agentmods 80×15 button for design-system-gen

Your own site · 80×15
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Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,493 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00117 $0.01493
Opus 5 $0.00059 $0.00746
Sonnet 5 $0.00023 $0.00299
Haiku 4.5 $0.00012 $0.00149

Measured 12d ago against content hash 3c1db6a47b04, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

design-system-gen 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 12d 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.

skills/design-system-gen/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

design-system-gen

Family: design Status: Stable

Purpose

Produce a complete, opinionated design system in one pass. Given a product type, target industry, and a handful of style keywords, return pattern & layout, style, color palette (with WCAG contrast), typography pairing, effects (radius/shadow/ motion), explicit anti-patterns, and a pre-delivery checklist.

Backed by the local clean-room CSV libraries in data/ and a deterministic Python reasoning engine. No network or paid API required.

Triggers

  • "design system" / "generate a design system"
  • "pick colors and fonts for me"
  • "what style fits a [product]"
  • "recommend a palette for [industry]"
  • "give me the visual language before I build"

Inputs

  • Product type (e.g. "saas-landing", "restaurant", "luxury-brand") — closest match from data/product-types.csv
  • Industry / vertical
  • Style keywords (free text — "modern, minimal, dark mode")
  • Output: ASCII (--human) for the user, or JSON when a downstream skill consumes it

Steps

  1. Gather inputs. Ask for (or infer) product type, industry, and 2–5 style keywords. If the user is vague, suggest the nearest product_type from data/product-types.csv.
  2. Ensure the palette library exists. If data/color-palettes.csv is missing, generate it first (idempotent, clean-room): 
    python3 "${CLAUDE_PLUGIN_ROOT}/scripts/design/gen_palettes.py"    # use `py` on Windows if python3 is absent
  3. Run the engine: 
    python3 "${CLAUDE_PLUGIN_ROOT}/scripts/design/design_system.py" \
  --product-type "<type>" --industry "<industry>" \
  --keywords "<comma,separated>" --human
    Drop --human (emit JSON) when handing the result to another skill.
  4. Read the result. It returns pattern, style (+characteristics + what to avoid), palette (hex set + text_on_bg_contrast + aa_body_text), typography pairing (+weights + Google-Fonts availability), effects, key sections, anti-patterns, and the pre-delivery checklist. Note anything under _fallbacks.
  5. Sanity-check & adapt. Confirm aa_body_text is pass. If keywords pulled an off-base style, re-run with refined keywords, or override one dimension and state why.
  6. Present & route. Show the system, then offer to: persist it (design-system-persist), expand it into a brief (design-dimensions / blast-prompt), or emit code tokens (design-tokens-emit).

Read the full file on GitHub · 103 lines

Changes

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.

  1. 12d ago First seen · 103 lines · 117 tokens per session scan A 3c1db6a47b04

Subscribe to this mod's changes

design-system-gen is a skill published in the GitHub repository ZachArticulateV/designer-pro-and-seo (8 stars, last pushed 2mo ago), licensed MIT. It adds 117 tokens to every session and 1,493 once invoked, about $0.0006 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.

Claude CodeDesign and UXclaude-code-plugindesign-systemseoweb-design
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