This release adds 1 notable feature for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
+5 more
Summary
AI summaryDesign token scale grouping detects hue‑scale patterns, groups by hue, and uses median scale as representative.
Full changelog
Lane I extraction quality: design token scale grouping.
Improved
- Design token scale grouping. Detects
{hue} {scale}patterns in CSS variable names (e.g.,mulberry 30,violet-50,blue 700). Groups colors by hue, keeps the median-scale value as the representative, folds the rest as tints.
Benchmark comparison (10 brands)
| Metric | v0.3.12 baseline | v0.3.13 | v0.3.14 |
|---|---|---|---|
| Avg quality | 7.3/10 | 7.4/10 | 7.4/10 |
| Avg duration | 1,399ms | 924ms | 886ms |
| Loom unknown roles | 9/13 | 8/12 | 5/11 |
| Superhuman | 5/9 unknown | 5/9 unknown | scales consolidated |
| Logo detection | 100% | 100% | 100% |
The remaining unknown colors are hue-named (e.g., --color-mulberry-40) with no semantic role keyword. These are legitimately unknown from CSS alone and resolve during the brand_clarify step.
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About Brand-System/brandsystem-mcp
Make your brand machine-readable. Extract brand identity (colors, fonts, logo, voice, visual rules) from any website via static CSS + rendered-page extraction, compile into DTCG tokens, brand runtime contracts, and interaction policies. 34 tools across 4 progressive sessions. Subscribable `brand://runtime` and `brand://policy` MCP resources. Content compliance scoring (0-100), pass/fail gate, and HTML/CSS preflight. Brandcode Studio connector for hosted brand sync.
Related context
Beta — feedback welcome: [email protected]