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.
npx skills add PracticalSwan/agent-skills --skill figmagit clone --depth 1 https://github.com/PracticalSwan/agent-skillsWrote 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.
[](https://agentmods.dev/skills/practicalswan/agent-skills/figma)<a href="https://agentmods.dev/skills/practicalswan/agent-skills/figma"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/figma/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.
<a href="https://agentmods.dev/skills/practicalswan/agent-skills/figma"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/figma.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00059 | $0.01200 |
| Opus 5 | $0.00030 | $0.00600 |
| Sonnet 5 | $0.00012 | $0.00240 |
| Haiku 4.5 | $0.00006 | $0.00120 |
Grade A, and why
figma 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figma MCP
Use the Figma MCP server for Figma-driven implementation. For setup and debugging details (env vars, config, verification), see references/figma-mcp-config.md.
Figma MCP Integration Rules
These rules define how to translate Figma inputs into code for this project and must be followed for every Figma-driven change.
Required flow (do not skip)
- Run get_design_context first to fetch the structured representation for the exact node(s).
- If the response is too large or truncated, run get_metadata to get the high-level node map and then re-fetch only the required node(s) with get_design_context.
- Run get_screenshot for a visual reference of the node variant being implemented.
- Only after you have both get_design_context and get_screenshot, download any assets needed and start implementation.
- Translate the output (usually React + Tailwind) into this project's conventions, styles and framework. Reuse the project's color tokens, components, and typography wherever possible.
- Validate against Figma for 1:1 look and behavior before marking complete.
Implementation rules
- Treat the Figma MCP output (React + Tailwind) as a representation of design and behavior, not as final code style.
- Replace Tailwind utility classes with the project's preferred utilities/design-system tokens when applicable.
- Reuse existing components (e.g., buttons, inputs, typography, icon wrappers) instead of duplicating functionality.
- Use the project's color system, typography scale, and spacing tokens consistently.
- Respect existing routing, state management, and data-fetch patterns already adopted in the repo.
- Strive for 1:1 visual parity with the Figma design. When conflicts arise, prefer design-system tokens and adjust spacing or sizes minimally to match visuals.
- Validate the final UI against the Figma screenshot for both look and behavior.
Asset handling
- The Figma MCP Server provides an assets endpoint which can serve image and SVG assets.
- IMPORTANT: If the Figma MCP Server returns a localhost source for an image or an SVG, use that image or SVG source directly.
- IMPORTANT: DO NOT import/add new icon packages, all the assets should be in the Figma payload.
- IMPORTANT: do NOT use or create placeholders if a localhost source is provided.
What ships with it
8 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.
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.
- 2d ago Changed cc2b8a88b0ae
- 4d ago Changed f01129769b16
- 7d ago First seen · 94 lines · 59 tokens per session scan A 72f462b12d02
figma is a skill published in the GitHub repository PracticalSwan/agent-skills (14 stars, last pushed 3d ago), licensed MIT. It adds 59 tokens to every session and 1,200 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
figma-codegen
Generate framework-aware code from a Figma design. Reads the project's stack profile and emits code matching the existing framework (React/Vue/Svelte/Next/etc.) and styling (Tailwind/CSS/CSS-in-JS), reusing existing components and design tokens instead of regenerating from scratch. Triggers whenever the user wants a…
refero-design
Primary/default skill for UI design, product design, web design, landing pages, dashboards, product screens, redesigns, visual polish, frontend/CSS styling, design systems, components, responsive design, typography, color, spacing, motion, icons, accessibility, copywriting, conversion, and anti-AI-slop work. Use this…
figma-design-handoff
Figma-to-code design handoff patterns including Figma Variables to design tokens pipeline, component spec extraction, Dev Mode inspection, Auto Layout to CSS Flexbox/Grid mapping, and visual regression with Applitools. Use when converting Figma designs to code, documenting component specs, setting up design-dev…
design-to-code-check
Check alignment between a specific design specification and its code implementation — a focused, single-component or single-screen comparison. Trigger when someone says: does this match the design, check implementation, design code alignment, what's different between the design and the build, spec check…
memoire-design-tooling
Use when a task spans interface understanding, design-system memory, UI audits, design CI, Figma, shadcn or Tailwind code generation, research, or agent design workflows and needs the correct Memi capability selected.
audit-frontend-design
Use when reviewing or changing a React, Next.js, Tailwind, or shadcn interface and you need evidence-backed findings for accessibility, hierarchy, tokens, states, and responsive design before editing code.