figma-component-builder

figma-component-builder is a skill for Claude Code, Codex from vanessamarely/ai-playbook-reposito. It costs 69 tokens per session (2,217 once invoked), scanned A, original, MIT.

A Figma-to-React builder turns selected Figma designs into React and TypeScript component files. Figma is a design tool; the builder also uses design details and a browser check to verify the result.

In plain words
What is it for?
Use it to create or update components, styles, tests, and Storybook stories from Figma designs, then check them in a running development server.
Why use it?
It reduces the manual work of translating a visual design into project code and checking whether the result looks and behaves correctly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to create or update components, styles, tests, and Storybook stories from Figma designs, then check them in a running development server.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vanessamarely/ai-playbook-reposito/figma-component-builder
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 vanessamarely/ai-playbook-reposito --skill figma-component-builder
Clone the repo
git clone --depth 1 https://github.com/vanessamarely/ai-playbook-reposito

Made for: Claude Code, Codex.

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-component-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/vanessamarely/ai-playbook-reposito/figma-component-builder/github.svg)](https://agentmods.dev/skills/vanessamarely/ai-playbook-reposito/figma-component-builder)
Your own site
<a href="https://agentmods.dev/skills/vanessamarely/ai-playbook-reposito/figma-component-builder"><img src="https://agentmods.dev/badge/skills/vanessamarely/ai-playbook-reposito/figma-component-builder/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-component-builder

Your own site · 80×15
<a href="https://agentmods.dev/skills/vanessamarely/ai-playbook-reposito/figma-component-builder"><img src="https://agentmods.dev/badge/skills/vanessamarely/ai-playbook-reposito/figma-component-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,217 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 $0.00069 $0.02217
Opus 5.5 $0.00028 $0.00887
Sonnet 5.5 $0.00014 $0.00443
Haiku 4.5 $0.00007 $0.00222

Measured 2mo ago against content hash 12a6378f4db9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

figma-component-builder 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 2mo 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.

ai-playbook/.agents/skills/figma-component-builder/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: figma-component-builder

Purpose

  • Automate conversion of Figma designs into React/TypeScript components and supporting artifacts for the selected project scope.
  • Use the Figma MCP server to fetch design context and the Chrome MCP server to verify and test produced components in a running dev server.

Primary capabilities

  • Retrieve design context (code snippets, screenshots, tokens) from Figma via the MCP endpoints.
  • Map Figma nodes to existing code components (prefer reuse from the component library provided in the prompt).
  • Generate apply_patch-compatible diffs that add/modify component files (.tsx, .styles.ts, .test.tsx, .stories.tsx) inside the requested scope: project folder.
  • Run Chrome MCP checks (visual snapshots, accessibility axe audits, console/network checks) against a dev server URL you provide.

Required initial prompt context

  • The initial prompt MUST include all fields below so the skill can work in any client/project:
    • scope (required): target project folder under workspace root.
    • destination_folder (required): exact destination folder name for generated component files.
    • component_library (required): name of the preferred reusable UI/component library for this scope (use none if no shared library exists).
    • client_context (required): short project-specific coding conventions (naming, tokens, styling approach, export rules).

Inputs

  • scope (required): target project folder under workspace root.
  • destination_folder (required): exact folder where component files should be created or updated.
  • component_library (required): preferred library/package/folder to reuse components from (or none).
  • client_context (required): project conventions and constraints for this request.
  • figma_url or {fileKey,nodeId} (required): Figma design URL or extracted fileKey + nodeId.
  • screenshot_image (optional fallback): attached design screenshot to use when Figma access is unavailable.
  • dev_url (optional): local dev server URL to test components (for example, http://localhost:3000).
  • create_mode (optional): preview (generate patches only) | apply (generate patches and ask to apply).
  • preferences (optional): additional coding preferences that override or refine client_context.

Read the full file on GitHub · 137 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. 2mo ago First seen · 137 lines · 69 tokens per session scan A 12a6378f4db9

Subscribe to this mod's changes

figma-component-builder is a skill published in the GitHub repository vanessamarely/ai-playbook-reposito (2 stars, last pushed 3mo ago), licensed MIT. It adds 69 tokens to every session and 2,217 once invoked, about $0.0003 per session on Opus 5.5. 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.

Related

figma-component-builder compared with skills from other repositories

figma-component-builder next to 6 skills from other repositories
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