Figma preflight
Skill senlindesign/claude2figma/.claude/skills/figma-preflight
Triggers on 'let's start', 'begin', 'preflight', 'start the session', or when a Figma file URL is first shared. Verifies MCP connection, reads CLAUDE.md, audits connected libraries, and loads a Token Map of all Styles and Variables — required before any design work.From its SKILL.md
npx -y skills add senlindesign/claude2figma --skill figma-preflightAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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Figma Preflight
Run at the start of every design session. Do NOT start design work until all steps pass.
Prerequisite: Load figma-use skill before any use_figma call.
Step A — Connection + Config (parallel)
Run these two in parallel:
- MCP Connection: Call
mcp__figma__whoami. Must return user email and plan. Fail → stop, re-authenticate. - CLAUDE.md: Read CLAUDE.md. Extract Figma file URL (required — stop if missing), font families, session goal. If fonts field is a placeholder, auto-populate after Step C using STRING variables starting with "Family".
Step B — File + Libraries (parallel)
Parse fileKey from the Figma URL, then run in parallel:
- File Access: Call
get_metadatawith extracted nodeId and fileKey. Must return file name and pages. - Libraries: Call
get_librarieswith fileKey. Store subscribed libraries as Library Registry (name, libraryKey, description). These enablesearch_design_systemto find library styles and components during design work.
Step C — Styles + Variables + Components (single use_figma call)
Combine all three inventories in one script:
const textStyles = await figma.getLocalTextStylesAsync();
const paintStyles = await figma.getLocalPaintStylesAsync();
const collections = await figma.variables.getLocalVariableCollectionsAsync();
const variables = await figma.variables.getLocalVariablesAsync();
const grouped = {};
for (const v of variables) {
const key = v.resolvedType;
if (!grouped[key]) grouped[key] = [];
grouped[key].push({ name: v.name, scopes: v.scopes });
}
const components = {};
for (const page of figma.root.children) {
await figma.setCurrentPageAsync(page);
const sets = page.findAll(n => n.type === "COMPONENT_SET");
const solos = page.findAll(n => n.type === "COMPONENT" && n.parent.type !== "COMPONENT_SET");
if (sets.length > 0 || solos.length > 0) {
components[page.name] = {
sets: sets.map(c => c.name),
solos: solos.map(c => c.name).slice(0, 15),
};
}
}
return {
textStyles: textStyles.map(s => s.name),
paintStyles: paintStyles.map(s => s.name),
collections: collections.map(c => c.name),
variableCount: variables.length,
byType: Object.fromEntries(
Object.entries(grouped).map(([type, vars]) => [type, vars.map(v => v.name)])
),
components
};
Store names only in context. IDs are looked up on-demand during design work. Library styles/variables are discovered via search_design_system.
Token Map
After Step C, derive a semantic index from variables grouped by scopes:
| Role | Scope | Example names |
|---|---|---|
| Background fill | FRAME_FILL, SHAPE_FILL | background/surface, color/neutral-100 |
| Text color | TEXT_FILL | text/primary, color/neutral-900 |
| Border / stroke | STROKE_COLOR | border/default, color/neutral-300 |
| Gap | GAP | gap/sm, spacing/xxs |
| Padding | PADDING | padding/md, spacing/section-xl |
| Border radius | CORNER_RADIUS | radius/sm, radius/full |
Status Report
✅ MCP Connection — [name] ([email]) · [plan]
✅ CLAUDE.md — Font: [primary] / [code] · Goal: [goal]
✅ Figma File — [file name] · [N] pages
✅ Libraries — [N] connected: [names]
✅ Styles — [N] text + [N] paint
✅ Variables — [N] across [N] collections
✅ Components — [N] sets across [N] pages
── Token Map ──────────────────────────────
Background : [names]
Text : [names]
Border : [names]
Gap : [names]
Padding : [names]
Radius : [names]
────────────────────────────────────────────
Ready to design.
If any step fails, output ❌ with error and stop.