Figma MCP

Overview

This public intake copy packages

packages/skills-catalog/skills/(design)/figma

https://github.com/tech-leads-club/agent-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.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.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• Use when the request clearly matches the imported source intent: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Use when a task involves Figma URLs, node IDs, design-to-code....
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

metadata.json

ORIGIN.md

references/figma-mcp-config.md

references/figma-tools-and-prompts.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
2. Read the overview and provenance files before loading any copied upstream support files.
3. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
4. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
5. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
6. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
7. Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.

Examples

Example 1: Ask for the upstream workflow directly

Use @figma to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @figma against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @figma for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @figma using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Run getdesigncontext first to fetch the structured representation for the exact node(s).
• If the response is too large or truncated, run getmetadata to get the high-level node map and then re-fetch only the required node(s) with getdesign_context.
• Run get_screenshot for a visual reference of the node variant being implemented.
• Only after you have both getdesigncontext 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.
• Treat the Figma MCP output (React + Tailwind) as a representation of design and behavior, not as final code style.

Imported Operating Notes

Imported: 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.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

packages/skills-catalog/skills/(design)/figma

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @accessibility

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @ai-cold-outreach

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @ai-pricing

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @ai-sdr

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/figma-mcp-config.md

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

• figma-mcp-config.md
• figma-tools-and-prompts.md
• LICENSE.txt
• figma-mcp-config.md
• figma-tools-and-prompts.md

Imported Reference Notes

Imported: 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.