Semantic SVG — Data skill for Claude Code
Natural language and grounded data compiled into beautiful, machine-addressable SVGs.
How to install Semantic SVG
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open AlexAI-MCP/semantic-svg and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Semantic SVG does
Natural language and grounded data compiled into beautiful, machine-addressable SVGs.
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README
Semantic SVG
Turn natural-language intent and grounded data into SVGs that are beautiful to people and addressable by machines.
Semantic SVG is an open-source LLM skill plus deterministic compiler. The LLM directs the story and visual grammar; the compiler owns coordinates, XML, stable IDs, provenance, and verification. The finished file can be read as a poster, inspected as structured data, and enlarged without losing detail.

*The five-second showcase plays automatically and loops directly in this README.*
The example above contains **504 visible detail rows**, **2,520 atomic fields**, and **2,648 text elements** in one black-and-orange SVG. Small type is intentional: it stays non-overlapping and becomes fully readable when the vector is enlarged.
Watch The Demo
**[Open the 35-second workflow video](./docs/assets/semantic-svg-demo.mp4)**
The autoplay preview gives the first read immediately. The longer recording shows the real artifact at multiple zoom levels: a human can scan the whole composition, then inspect individual labels, types, sources, and machine-addressable IDs.
Why It Exists
Raw LLM-generated SVG tends to produce fragile XML, invented labels, drifting coordinates, and text collisions. Semantic SVG separates creative judgment from deterministic execution:
natural-language brief + grounded data
↓
story and visual grammar
↓
ArtifactSpec or detail inventory
↓
deterministic SVG compiler
↓
semantic QA + browser render + zoom review
↓
finished semantic SVG
Every meaningful object can carry `id`, `data-node-id`, `data-edge-id`, `data-source-ref`, coordinates, relation types, and embedded JSON metadata. The picture remains a real picture; the data remains queryable.
Two Output Modes
Luminous Atlas
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