Translate Figma design context into the existing application stack and verify it against the design.
Editorial review checked 2026-10-31 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.
What it does
The instruction couples structured design context with a screenshot target, and requires additional node context when the initial response is sparse. It emphasizes reuse of project components, mapped Code Connect components and supplied assets while converting prototype-like layout into working application interactions.
Best for
Frontend teams implementing a specific Figma screen inside an existing application and design system.
Tradeoffs and requirements
Visual context and generated snippets are inputs rather than a completed implementation. The exact MCP tool response, project dependencies, asset permissions and available account features still matter. The repository has no recognized SPDX license in the checked metadata, so the catalog keeps indexing eligibility separate from a first-party source label.
Unknown; inspect source requirements and supporting scripts.
Data and service requirements
The instruction passes a skill name to Figma MCP for usage logging and retrieves design information and assets from Figma. Check account access and the applicable service and asset terms. Full runtime behavior and license rights are not established by this catalog review.
Instruction-level disclosure at the checked snapshot; not an independent audit of the service or its current terms.
Install from the source
Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.
After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.
Safety & review signals
Static review only. This is not a security audit or a guarantee of safety.
SKILL.md text only; scripts, dependencies and runtime behavior not audited.
No configured text patterns matched. Unmatched or concealed behavior can still exist.
Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.
AI Craft Pad Skill Score
73/100 · Metadata coverage 80% · Model 1.0
Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.
Identify the exact frame and requested scope, obtain structured context and the matching visual target, then inspect existing components and tokens. Implement the interactions and layout in the project conventions rather than embedding a screenshot or temporary asset URL.
How to judge the result
Compare the rendered screen, asset geometry, responsive behavior and interactive states with the agreed target. Verify that assets resolve locally where required and report pre-existing or out-of-scope differences without silently broadening the change.
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