Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Figma design-to-code workflow. Read Figma files, inspect components, extract design tokens, and translate designs to implementation. Use when working with Figma designs, extracting styles, or building design systems.
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Extract design information from Figma files for implementation. Covers design token extraction, component inspection, and design-to-code translation.
FIGMA_ACCESS_TOKEN env var)curl -H "X-Figma-Token: $FIGMA_ACCESS_TOKEN" \
"https://api.figma.com/v1/files/FILE_KEY"
curl -H "X-Figma-Token: $FIGMA_ACCESS_TOKEN" \
"https://api.figma.com/v1/files/FILE_KEY/nodes?ids=NODE_ID1,NODE_ID2"
curl -H "X-Figma-Token: $FIGMA_ACCESS_TOKEN" \
"https://api.figma.com/v1/images/FILE_KEY?ids=NODE_ID&format=svg"
curl -H "X-Figma-Token: $FIGMA_ACCESS_TOKEN" \
"https://api.figma.com/v1/files/FILE_KEY/styles"
curl -H "X-Figma-Token: $FIGMA_ACCESS_TOKEN" \
"https://api.figma.com/v1/files/FILE_KEY/components"
# Get all published styles
curl -s -H "X-Figma-Token: $FIGMA_ACCESS_TOKEN" \
"https://api.figma.com/v1/files/FILE_KEY/styles" | jq '.meta.styles'
/* Colors */
:root {
--color-primary: #2563eb; /* From Figma: Primary/500 */
--color-secondary: #7c3aed; /* From Figma: Secondary/500 */
--color-surface: #ffffff; /* From Figma: Surface/Default */
}
/* Typography */
:root {
--font-heading: 'Inter', sans-serif;
--font-body: 'Inter', sans-serif;
--text-xl: 1.25rem; /* From Figma: Heading/XL */
--text-base: 1rem; /* From Figma: Body/Base */
--leading-tight: 1.25;
--leading-normal: 1.5;
}
/* Spacing */
:root {
--space-1: 0.25rem; /* 4px */
--space-2: 0.5rem; /* 8px */
--space-4: 1rem; /* 16px */
--space-8: 2rem; /* 32px */
}
| Figma Auto-Layout | CSS Equivalent |
|---|---|
| Horizontal | display: flex; flex-direction: row; |
| Vertical | display: flex; flex-direction: column; |
| Space between | justify-content: space-between; |
| Packed (start) | justify-content: flex-start; |
| Gap: 16 | gap: 1rem; |
| Padding: 16,24 | padding: 1rem 1.5rem; |
| Fill container | flex: 1; or width: 100%; |
| Hug contents | width: fit-content; |
For each Figma component, extract:
| Anti-Pattern | Why It Fails | Correct Approach |
|---|---|---|
| Hardcoded hex colors | Breaks on design system update | Use CSS variables mapped from Figma tokens |
| Ignoring auto-layout | Layout doesn't match design | Map auto-layout 1:1 to flexbox/grid |
| Pixel-perfect obsession | Wastes time, ignores responsive | Match design intent, not exact pixels |
| Skipping component variants | Missing states (hover, disabled) | Extract ALL Figma variants |
| Manual token extraction | Error-prone, doesn't scale | Use Figma REST API for programmatic extraction |
When the official Figma MCP server is running, these 12 tools are available:
| Tool | Purpose |
|---|---|
get_design_context | Get full design context for a file/node (components, styles, layout) |
generate_figma_design | Generate new designs from natural language description |
get_variable_defs | Extract all design tokens (colors, spacing, typography variables) |
get_screenshot | Capture rendered screenshot of a frame/component |
code_connect_map | Map Figma components to their code counterparts |
create_design_system_rules | Auto-generate design system documentation |
get_figjam | Access FigJam board content and sticky notes |
generate_diagram | Generate Figma diagram from Mermaid input |
get_components | List all published components in a file |
get_styles | Extract all defined styles (color, text, effect) |
export_assets | Export assets as PNG/SVG/PDF with scale options |
get_annotations | Retrieve design annotations and spec notes |
get_metadata | Get XML layer representation of a file/node for programmatic parsing |
whoami | Get current user identity, plan tier, and available seat count |
MCP Setup: Install Figma Desktop app -> Settings -> Enable MCP server
Auth: Uses active Figma session (no API key needed for local MCP)
Key workflow: get_design_context -> code_connect_map -> export_assets for design-to-code
Identity check: Use whoami to verify plan tier before calling enterprise-only tools
Before starting:
Read .claude/context/memory/learnings.md
After completing:
.claude/context/memory/learnings.md.claude/context/memory/issues.md.claude/context/memory/decisions.mdASSUME INTERRUPTION: If it's not in memory, it didn't happen.
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Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
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Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
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Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
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LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
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