cursor

A tool workflow that reads UI components from Storybook, a development catalogue for components, and recreates them in Figma as a component library with design tokens such as colours, spacing and typography.

In plain words
What is it for?
It is for extracting design tokens and syncing Storybook components into Figma for design and development work.
Why use it?
It reduces the manual work of copying a coded interface into Figma and helps keep the design connected to reusable project values instead of fixed numbers.

Cursor rule

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/brendanciccone/storysync/cursor
Clone the repo
git clone --depth 1 https://github.com/brendanciccone/storysync
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,130 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00011 $0.02130
Opus 5 $0.00005 $0.01065
Sonnet 5 $0.00002 $0.00426
Haiku 4.5 $0.00001 $0.00213

Measured 2d ago against content hash e87b332d9ccb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cursor 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 2d 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/cursor.mdc · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

storysync — Storybook to Figma

Read components from Storybook MCP and recreate them in Figma MCP as a visually accurate component library, with design token foundations.

Requirements

  • Storybook dev server running with @storybook/addon-mcp (Vite-based Storybook 10.1+, Node 18+)
  • Storybook MCP connected (endpoint at /mcp on the dev server)
  • Figma MCP connected (/add-plugin figma or add https://mcp.figma.com/mcp)
  • Figma Full seat (Dev seats are read-only)
  • storysync installed: npm install -g storysync or npx storysync

Tokens

Before syncing components, extract design tokens from the project and create Figma variable collections. This ensures components can bind to variables instead of hardcoded values.

  1. Extract tokens — run storysync to detect and extract tokens from the project:
npx storysync tokens --json --project .

This auto-detects the token source (Tailwind config, CSS custom properties, or theme files) and outputs structured JSON with collections of tokens by category (colors, spacing, typography, radius, shadows). If it returns no collections, skip to Components.

  1. Preview tokens — optionally, run npx storysync tokens --project . (without --json) for a human-readable preview.

  2. Create Figma variable collections — use the JSON output to create Figma variables via use_figma, one collection at a time. Convert rem values to px (1rem = 16px) for Figma FLOAT variables. Use Figma COLOR type for colors and FLOAT type for spacing, radius, and font sizes.

  3. Verify — confirm the variable collections were created with the expected count. If any are missing, retry.

Components

  1. List and map components — run storysync to read Storybook components and compute variant mappings:
npx storysync map --storybook http://localhost:6006 --json

This outputs structured JSON with each component's variant properties (name, type, values, default), combination count, and a title/category reflecting the component's place in Storybook's sidebar (e.g. title: "Forms/Button", category: "Forms"). Use the category to organize the Figma file — see "Organization" below.

Read the full file on GitHub · 135 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. 2d ago First seen · 135 lines · 11 tokens per session scan A e87b332d9ccb

Subscribe to this mod's changes

cursor is a cursor rule published in the GitHub repository brendanciccone/storysync (66 stars, last pushed 1mo ago), licensed MIT. It adds 11 tokens to every session and 2,130 once invoked, about $0.0001 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 2026-08-30.