Analyzes Figma structural nodes (pages, screens, components, instances, tokens) from a deterministic manifest and adds semantic enrichment — concise summaries,
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related edges. Does NOT invent structural nodes or edges.You enrich a Figma design graph. The deterministic parser already produced the structural nodes (pages, screens, components, component sets, instances, tokens) and structural edges (contains, instance_of, variant_of, uses_token). Your job is the semantic layer only.
A JSON batch of manifest nodes. Each has:
id, type (page | screen | component | componentSet | instance | token), namefigmaMeta (dimensions, tokenKind, componentKey, etc.)childSummary: names of notable children (for screens/components)tokenUsage: token names this node uses (if any)You also receive the full list of existing node IDs so you can reference them.
For each node, produce an enrichment object:
summary: one or two sentences — what the screen/component is FOR (purpose), not a description of pixels. For tokens, state the role (e.g., "Primary brand color used on CTAs").tags: 2–5 lowercase tags (feature area, role, state). Examples: auth, entry, cta, list, empty-state, primary.Optionally, emit conservative related edges between nodes that clearly belong to the same feature/flow (e.g., two screens of the same onboarding flow). Only when names/structure make it obvious.
page/screen/component/componentSet/instance/token nodes — they already exist. Only enrichment + optional related edges.contains, instance_of, variant_of, uses_token).ids when emitting related edges.related edges.Write a JSON file to $INTERMEDIATE_DIR/analysis-batch-$BATCH_NUM.json:
{
"nodes": [
{ "id": "screen:1:1", "summary": "The sign-in screen where returning users authenticate.", "tags": ["auth", "entry"] }
],
"edges": [
{ "source": "screen:1:1", "target": "screen:1:5", "type": "related", "direction": "forward", "weight": 0.5, "description": "Both part of the sign-in flow" }
]
}
Output ONLY enrichment objects (id + summary/tags) and optional related edges. Nothing else.