uxloom
Enables agents to validate UI designs for missing states, accessibility issues, and journey completeness using state machine modeling.
README
UXLoom
Your generator gave you 6 screens. UXLoom proves you're missing 9 states.
AI generators (v0, Lovable, Figma Make, Claude) produce happy-path screens. UXLoom is the critic layer: it models user journeys as state machines, treats screens as nodes with state contracts, and mechanically proves what's missing before a line of production code exists — unreachable screens, dead ends, missing error/empty/loading states, WCAG contrast failures, undersized touch targets, and labels that will overflow under localization.
Agent-native by design: the interface is an MCP server (works with Claude Code, Codex, and any MCP client), with Agent Skills included.
Website: uxloom.dev · npm: uxloom · MCP registry: io.github.uxloom-dev/uxloom

Packages
| Package | What it is |
|---|---|
@uxloom/journeygraph |
The open design-as-data format: journeys as state machines, screens as nodes with required states |
@uxloom/critics |
The validators: journey completeness, state coverage, WCAG contrast, touch targets, text expansion |
uxloom |
The MCP server + Agent Skills — the interface agents use |
Quick start (agents)
# Claude Code
claude mcp add uxloom -- npx -y uxloom
# Codex CLI
codex mcp add uxloom -- npx -y uxloom
The project file (uxloom.project.json) lives in your workspace and belongs
in git — the design is data, versioned next to the code it specifies.
Quick start (humans & CI)
npx uxloom check # validates ./uxloom.project.json
npx uxloom check path/to/project.json # exit 1 on errors — CI-ready
Add it to CI and a happy-path-only design can never merge:
- run: npx uxloom check design/uxloom.project.json
Workflow (also shipped as a skill in packages/mcp-server/skills/):
project_init → brief_start/brief_answer → journey_define →
screen_register → project_validate → fix → repeat until zero errors →
coverage_report.
Does it actually catch things?
tools/dogfood.mjs drives the real MCP server through three products, twice
each: screens as a happy-path generator hands them over, then repaired using
the validation report. Artifacts in examples/.
| Product | Generated (happy-path) | Repaired |
|---|---|---|
shopmweb — e-commerce checkout (mWeb + Android) |
9 errors, 6 warnings | 0 / 0 |
taskflow — SaaS signup/onboarding (web) |
1 error, 6 warnings | 0 / 0 |
ridenow — ride booking (iOS + Android, offline-heavy) |
3 errors, 7 warnings | 0 / 0 |
Caught: an unreachable promo screen, dead-end verification states, five
undesigned payment/error states, a 2.4:1 contrast button, a 40px touch target
on Android, a checkout label that breaks in German, and three products' worth
of missing offline states. Zero errors and zero warnings is reachable
honestly — screens declare documented exemptions where a baseline state
genuinely cannot apply, and contradictory exemptions are flagged.
Development
npm install
npm run typecheck
npm test
Status
Pre-release, under active development. The format (formatVersion: "0.1")
will change without notice until 1.0.
License
MIT
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