Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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
日本語の概要は準備中です。原文の説明を表示しています。