figma-hello-world
Make your first Figma REST API call to fetch a file and inspect its node tree. Use when starting a new Figma integration, testing API connectivity, or learning the Figma document structure. Trigger with phrases like "figma hello world", "figma first call", "figma quick start", "fetch figma file".
What this skill does
# Figma Hello World
## Overview
Make your first Figma REST API call. Fetch a file's metadata and document tree, then inspect the node structure that represents every layer and object in a Figma design.
## Prerequisites
- Completed `figma-install-auth` setup
- A Figma file key (from the URL: `figma.com/design/<FILE_KEY>/...`)
- `FIGMA_PAT` environment variable set
## Instructions
### Step 1: Fetch a File
```bash
# Get the full document JSON for a file
curl -s -H "X-Figma-Token: ${FIGMA_PAT}" \
"https://api.figma.com/v1/files/${FIGMA_FILE_KEY}" | jq '{
name: .name,
lastModified: .lastModified,
version: .version,
pages: [.document.children[] | .name]
}'
```
Expected output:
```json
{
"name": "My Design File",
"lastModified": "2025-03-15T10:30:00Z",
"version": "1234567890",
"pages": ["Page 1", "Components", "Tokens"]
}
```
### Step 2: Understand the Node Tree
Every Figma file is a tree of typed nodes:
```
DOCUMENT (root)
├── CANVAS (page)
│ ├── FRAME (container / auto-layout)
│ │ ├── TEXT
│ │ ├── RECTANGLE
│ │ └── INSTANCE (component instance)
│ ├── GROUP
│ │ └── VECTOR
│ ├── COMPONENT (reusable master)
│ └── SECTION
```
Key node types: `DOCUMENT`, `CANVAS`, `FRAME`, `GROUP`, `RECTANGLE`, `ELLIPSE`, `TEXT`, `VECTOR`, `COMPONENT`, `COMPONENT_SET`, `INSTANCE`, `LINE`, `SECTION`, `BOOLEAN_OPERATION`.
### Step 3: TypeScript Hello World
```typescript
// hello-figma.ts
const PAT = process.env.FIGMA_PAT!;
const FILE_KEY = process.env.FIGMA_FILE_KEY!;
interface FigmaNode {
id: string;
name: string;
type: string;
children?: FigmaNode[];
}
interface FigmaFileResponse {
name: string;
lastModified: string;
version: string;
document: FigmaNode;
components: Record<string, { key: string; name: string; description: string }>;
styles: Record<string, { key: string; name: string; style_type: string }>;
}
async function main() {
const res = await fetch(
`https://api.figma.com/v1/files/${FILE_KEY}`,
{ headers: { 'X-Figma-Token': PAT } }
);
if (!res.ok) {
throw new Error(`Figma API error: ${res.status} ${res.statusText}`);
}
const file: FigmaFileResponse = await res.json();
console.log(`File: ${file.name}`);
console.log(`Last modified: ${file.lastModified}`);
console.log(`Components: ${Object.keys(file.components).length}`);
console.log(`Styles: ${Object.keys(file.styles).length}`);
// Walk the first page and list top-level frames
const firstPage = file.document.children?.[0];
if (firstPage) {
console.log(`\nPage: ${firstPage.name}`);
for (const child of firstPage.children ?? []) {
console.log(` ${child.type}: ${child.name} (${child.id})`);
}
}
}
main().catch(console.error);
```
### Step 4: Fetch Specific Nodes
```typescript
// Fetch only specific nodes by ID (faster for large files)
async function fetchNodes(fileKey: string, nodeIds: string[]) {
const ids = nodeIds.join(',');
const res = await fetch(
`https://api.figma.com/v1/files/${fileKey}/nodes?ids=${ids}`,
{ headers: { 'X-Figma-Token': PAT } }
);
const data = await res.json();
// data.nodes is a map: { "nodeId": { document: {...}, components: {...} } }
return data.nodes;
}
// Node IDs use the format "pageId:frameId" (e.g., "0:1", "123:456")
const nodes = await fetchNodes(FILE_KEY, ['0:1', '2:3']);
```
## Output
- File metadata (name, version, last modified)
- Page names listed from the document tree
- Top-level frames with node IDs and types
- Component and style counts
## Error Handling
| Error | Status | Cause | Solution |
|-------|--------|-------|----------|
| `Not found` | 404 | Invalid file key | Verify the key from the Figma URL |
| `Forbidden` | 403 | No access to file | Check token scopes and file permissions |
| `Rate limited` | 429 | Too many requests | Honor `Retry-After` header |
| Empty `document` | 200 | File has no pages | Check if file was recently created |
## Examples
### Quick Node Counter
```bash
# Count total nodes in a file
curl -s -H "X-Figma-Token: ${FIGMA_PAT}" \
"https://api.figma.com/v1/files/${FIGMA_FILE_KEY}" \
| jq '[.. | .id? // empty] | length'
```
### Get File Thumbnail
```bash
curl -s -H "X-Figma-Token: ${FIGMA_PAT}" \
"https://api.figma.com/v1/files/${FIGMA_FILE_KEY}" \
| jq -r '.thumbnailUrl'
```
## Resources
- [Figma REST API Introduction](https://developers.figma.com/docs/rest-api/)
- [File Endpoints Reference](https://developers.figma.com/docs/rest-api/file-endpoints/)
- [Node Types Reference](https://developers.figma.com/docs/plugins/api/nodes/)
## Next Steps
Proceed to `figma-local-dev-loop` for setting up a development workflow.
Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.