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UpSkill Design System
A designer at a desk surrounded by tool palettes, swatches, and a drawing tabletA designer at a desk surrounded by tool palettes, swatches, and a drawing tablet

UpSkill Design System

A design system where AI runs as infrastructure, not as a feature. Machine-readable component contracts tell agents what exists and how it composes, so Claude is called in only where judgment is needed, without 24/7 orchestration.
Start hereAgentic moments

Most agentic setups keep a model running around the clock, re-reading live APIs on every step. UpSkill does the opposite. Every component ships a JSON metadata contract covering its role, props, composition rules and accessibility, which gives agents a semantic layer to read instead of guessing. Scripts and CI handle everything repetitive. Claude is invoked only to interpret design intent, and it reads small frozen snapshots instead of calling Figma or Airtable directly. The result is team-scale rigor that one person can maintain.

Three key loops

  • Build: Figma to a gated, reviewed React PR.
  • Learn: every review finding becomes a rule.
  • Sync: CI flags stale docs; only those sections get rewritten.

User touch points

  • Airtable: live inventory of every token and component.
  • CLI: system status at hand for developers.
  • Storybook: the engineer's component reference.
  • Docs site: architecture and decisions, kept current by CI.

The numbers

95% fewer API calls

One snapshot read replaces 20 live lookups.

Up to 1M tokens a week saved

On-demand commands replace always-on agents.

9 of 40 workflows use Claude

The rest are scripts and GitHub Actions.

58% of bugs caught

By a reviewer with no memory of how the component was built.

Open source on GitHub, including the ledger that measures whether each agent earns its cost.