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figma-to-design-md

figma-to-design-md is a skill for Claude Code from lukedj78/dev-flow. It costs 96 tokens per session (3,625 once invoked), scanned C, original, MIT.

A guide for extracting a Figma design into DESIGN.md, a portable text file describing a design system for AI tools.

In plain words
What is it for?
Use it when given a Figma URL and asked to extract design tokens, typography, colors, or system documentation into DESIGN.md.
Why use it?
It moves design details such as colors, fonts, and reusable rules out of Figma into a format that coding agents can read and use. Figma is a collaborative design tool for creating interface mockups and design systems.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the dev-flow plugin — 47 skills shipped together

not rated 6repo today C scan 96 tokens original MIT

Good fit Use it when given a Figma URL and asked to extract design tokens, typography, colors, or system documentation into DESIGN.md.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lukedj78/dev-flow/figma-to-design-md
View source ↗ lukedj78/dev-flow
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.

Any agent
npx skills add lukedj78/dev-flow --skill figma-to-design-md
Clone the repo
git clone --depth 1 https://github.com/lukedj78/dev-flow

Made for: Claude Code.

Or install dev-flow, the plugin that ships this one along with the rest of its 47 skills.

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 figma-to-design-md

README.md
[![agentmods](https://agentmods.dev/badge/skills/lukedj78/dev-flow/figma-to-design-md/github.svg)](https://agentmods.dev/skills/lukedj78/dev-flow/figma-to-design-md)
Your own site
<a href="https://agentmods.dev/skills/lukedj78/dev-flow/figma-to-design-md"><img src="https://agentmods.dev/badge/skills/lukedj78/dev-flow/figma-to-design-md/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.

agentmods 80×15 button for figma-to-design-md

Your own site · 80×15
<a href="https://agentmods.dev/skills/lukedj78/dev-flow/figma-to-design-md"><img src="https://agentmods.dev/badge/skills/lukedj78/dev-flow/figma-to-design-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,625 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00096 $0.03625
Opus 5 $0.00048 $0.01813
Sonnet 5 $0.00019 $0.00725
Haiku 4.5 $0.00010 $0.00363

Measured 9d ago against content hash 0de4c2ffb066, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade C, and why

figma-to-design-md scanned grade C with 1 finding 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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/figma_api_fetch.py, scripts/quantize_palette.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Harvests environment variableshighData exfiltration

Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.

**How to detect path B**: run `printenv FIGMA_ACCESS_TOKEN` (Bash). If empty, ask the user "Hai un Figma personal access token? (https://www.figma.com/developers/api#access-tokens)". If yes, accept it for the session — d
figma-to-design-md/SKILL.md · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Figma → DESIGN.md

Generate a DESIGN.md file that conforms to the Google design.md spec (open format for portable design systems across AI agents — see references/spec.md). The source of truth is a Figma file the user points to via URL.

Dev-flow contract

This skill participates in the dev-flow workflow. When invoked on a project that has a .workflow/ folder at its root:

  • Output goes into <root>/.workflow/:
    • DESIGN.md (the main artifact)
    • screenshots/ (any HD frame captures used during extraction — saved with slugged page names like home-hero.png, type-system.png)
  • State is updated by setting meta.json#phase = "design_extracted" (only if the current phase is earlier in the enum), refreshing updated_at, and appending an entry to meta.json#history with skill name, inputs (figma URL, path used: MCP/REST/manual), and outputs.
  • Standalone mode (no .workflow/ present) is still supported — fall back to the original behavior of writing DESIGN.md at the user-specified project root.

The canonical contract spec is in references/contracts.md. Read it if any rule above is unclear.

When this skill applies

Trigger on any of:

  • A Figma URL pasted by the user (figma.com/file/..., figma.com/design/..., figma.com/proto/..., figma.com/board/...).
  • An explicit request: "crea/genera il DESIGN.md", "estrai il design system", "build a DESIGN.md from this Figma", etc.
  • Both combined.

If only a URL is pasted with no instructions, ask once whether the user wants a DESIGN.md generated. Don't assume.

What you produce

In dev-flow mode: <root>/.workflow/DESIGN.md + <root>/.workflow/screenshots/*.png (for any HD captures used). In standalone mode: <project-root>/DESIGN.md.

The DESIGN.md content (same in both modes):

  1. YAML frontmatter — machine-readable design tokens (colors, typography, rounded, spacing, components).
  2. Markdown body — eight sections in this exact order, each as ##:
    1. Overview (a.k.a. "Brand & Style")
    2. Colors
    3. Typography
    4. Layout (a.k.a. "Layout & Spacing")
    5. Elevation & Depth
    6. Shapes
    7. Components
    8. Do's and Don'ts

Read the full file on GitHub · 200 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 200 lines · 96 tokens per session scan C 0de4c2ffb066

Subscribe to this mod's changes

figma-to-design-md is a skill published in the GitHub repository lukedj78/dev-flow (6 stars, last pushed today), licensed MIT. It adds 96 tokens to every session and 3,625 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 1 finding (harvests environment variables). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Claude CodeCode GenerationDesign and UXagent-skillsagentic-workflowai-agentsexpo
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