Uizze

Build distinctive UI

Category: Pending
Primary Subcategory: Pending

Integration details

Description

Uizze gives coding agents a free anti-ui-slop Skill and optional full MCP access to live UI references, license-clear materials, and rendered safety checks. Use the skill to inspect the product and design system, write a design contract, cover required states, and run a bounded finish gate. The MCP answers one concrete unresolved UI question with strong full-screen references, finds license-clear materials for a concrete role, or optionally checks rendered UI for observable breakage, accessibility, privacy, and task-blocking composition. The free preview MCP exposes a deterministic source check only.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: Account required
First tracked: 2026-09-10
Tool count: 2
Geography: US

ChatGPT Plugin Discovery Score

ChatGPT Plugin discovery is coming soon

ChatGPT can surface a Plugin when it matches a user's request.Your Plugin Discovery Score measures how often yours appears.

No spam. Unsubscribe any time.

ChatGPT recommends Airtable when a user asks it to update a CRM. — ChatGPT surfaces Airtable because it matches the user's request.

Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Uizze has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.

Tools

2 tools agents can invoke

Find Uizze-hosted, license-recorded fonts, icons, animated icons, or Packs for a named role. Exact Pack content requires an explicit user selection.
find_ui_materials
Find one to three useful full-screen iOS references or complete hosted Web Pack visuals for a concrete UI question. For a new search, omit selectedIds or pass []. For exact inspection, pass only IDs copied from previous Uizze results; never invent IDs.
find_ui_references

Uizze FAQ

How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.