Figma design-to-code workflows, design token extraction, component inspection, and asset export. Use when translating Figma designs into code, extracting design tokens, or referencing component specs.
100
100%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that clearly identifies its domain (Figma), lists specific capabilities, and includes an explicit 'Use when...' clause with natural trigger terms. It follows third-person voice conventions and is concise without being vague. The description would effectively help Claude distinguish this skill from others in a large skill library.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'design-to-code workflows', 'design token extraction', 'component inspection', and 'asset export'. These are distinct, well-defined capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (design-to-code workflows, design token extraction, component inspection, asset export) and 'when' with an explicit 'Use when...' clause covering translating Figma designs, extracting tokens, or referencing component specs. | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'Figma', 'design-to-code', 'design tokens', 'component specs', 'asset export'. These cover the primary terms a user working with Figma would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | The focus on 'Figma' as a specific design tool combined with domain-specific actions like 'design token extraction' and 'component inspection' creates a clear niche that is unlikely to conflict with generic code generation or other design tool skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality skill that efficiently covers Figma design-to-code workflows with concrete tool invocations, executable code examples, a well-sequenced workflow with validation checkpoints and feedback loops, and appropriate progressive disclosure to external references. It respects Claude's intelligence by avoiding unnecessary explanations while providing all the actionable detail needed.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient. It doesn't explain what Figma is or how MCP tools work conceptually—it jumps straight to tool names, purposes, and invocation examples. Every section earns its place. | 3 / 3 |
Actionability | Provides concrete MCP tool invocations with JSON payloads, a complete TSX component example, specific file paths for token output, and measurable acceptance criteria (<=4px spacing differences, matching token colors/fonts). | 3 / 3 |
Workflow Clarity | The design-to-code workflow is clearly sequenced in 6 numbered steps with explicit validation (step 5 with measurable thresholds) and a feedback loop (step 6) that routes back to step 2 when deviations are detected. | 3 / 3 |
Progressive Disclosure | The skill provides a concise overview with clear references: it points to the 'frontend-design' skill for project-specific details and to REFERENCE.md for verification scripts and translation rules—all one level deep and well-signaled. | 3 / 3 |
Total | 12 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
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