agentleFS
Sign inStart free
leaf76leaf76/agent-skills/figma/SKILL.md

figma

Skill0 starsChanged 3 months agoMITView on GitHub

Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.

53 other projects use a version of this, 7 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use analytics-metrics, aws-account-management and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • hoodiniSkill

    analytics-metrics

    Build data visualization and analytics dashboards. Use when creating charts, KPI displays, metrics dashboards, or data visualization components. Triggers on analytics, dashboard, charts, metrics, KPI, data visualization, Recharts.

    Also in 3 projects that use this

  • hoodiniSkill

    aws-account-management

    Manage AWS accounts, organizations, IAM, and billing. Use when setting up AWS Organizations, managing IAM policies, controlling costs, or implementing multi-account strategies. Triggers on AWS Organizations, AWS IAM, AWS billing, Cost Explorer, SCPs, multi-account, AWS SSO, Identity Center.

    Also in 3 projects that use this

  • LangChainSkill

    slideshow

    Author a HyperFrames slideshow — a presentation, pitch deck, or interactive deck with discrete slides, fragment reveals, branching, hotspot navigation, and built-in presenter mode with speaker notes; also converts an existing page into a deck. Output is a navigable deck, not a rendered MP4. If the user didn't explicitly ask for a slideshow, confirm before authoring. Unclear → /hyperframes.

    Also in 8 projects that use this

  • jaron-goh-centrSkill

    talking-head-recut

    Package an existing talking-head / interview / podcast video with timed, designed GRAPHIC OVERLAY cards — kinetic titles, lower-thirds, data callouts, quotes, side panels, picture-in-picture — synced to the transcript, on a 16:9 / 9:16 / 4:5 canvas of your choice; the clip plays untouched underneath. Trigger on "graphic overlays", "on-screen graphics", "package / dress up my video". Not plain subtitles (/embedded-captions). Unclear → /hyperframes.

    Also in 6 projects that use this

  • LangChainSkill

    faceless-explainer

    Turn arbitrary text — an article, notes, a topic, a brief — into a faceless explainer video: there is no site or footage to capture, so the visuals are invented per scene (typography, abstract graphics, diagrams, data-viz). Use for topic explainers, concept breakdowns, how-tos, listicles. Not a video built from a website (/product-launch-video — promo or tour). Unclear → /hyperframes.

    Also in 6 projects that use this

  • ElyzeSolutionsSkill

    captions-overlay

    Overlay doctrine for the embedded-captions workflow — the caption MODEL (drop / rail / embed) and the rule that captions are an OVERLAY composited on top of the film, never a reserved bottom band you shift content up to avoid. Load when adding captions/subtitles to a talking-head or launch video, when deciding whether a phrase should be dropped, ride the verbatim rail, or be promoted to a scarce embedded climax, when laying out a composition that will carry captions (do NOT reserve a keep-out band), or when centering a composition on the true frame center under captions. Quotes the rail+embed model from embedded-captions and constraint #13 (captions overlay, keep-out band retired) from the product-launch-video scene agent. Applies ON TOP of embedded-captions.

    Also in 3 projects that use this

  • +4 more from hoodini

The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 6 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 31 edited versions we read keep these.

  • 6

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use the Figma MCP server for Figma-driven implementation.

    line 8
  2. Distinctive:

    Run get_design_context first to fetch the structured representation for the exact node(s).

    line 14
  3. Distinctive:

    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 …

    line 15
  4. Distinctive:

    Run get_screenshot for a visual reference of the node variant being implemented.

    line 16
  5. Distinctive:

    Only after you have both get_design_context and get_screenshot, download any assets needed and start implementation.

    line 17
  6. Distinctive:

    Treat the Figma MCP output (React + Tailwind) as a representation of design and behavior, not as final code style.

    line 22
  7. Distinctive:

    Use the project's color system, typography scale, and spacing tokens consistently.

    line 25

“Common” is measured: kept by at least 6 in 10 of the 31 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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)

  1. Run get_design_context first to fetch the structured representation for the exact node(s).
  2. 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.
  3. Run get_screenshot for a visual reference of the node variant being implemented.
  4. Only after you have both get_design_context and get_screenshot, download any assets needed and start implementation.
  5. 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.
  6. 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.

Link-based prompting

  • The server is link-based: copy the Figma frame/layer link and give that URL to the MCP client when asking for implementation help.
  • The client cannot browse the URL but extracts the node ID from the link; always ensure the link points to the exact node/variant you want.

References

  • references/figma-mcp-config.md — setup, verification, troubleshooting, and link-based usage reminders.
  • references/figma-tools-and-prompts.md — tool catalog and prompt patterns for selecting frameworks/components and fetching metadata.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free