A skill catalogue of 36 copy-ready admin UI shapes an AI agent installs and composes into a real back-office. Built on TanStack Start, Drizzle + better-auth, shadcn + Tailwind v4.
open-dashboard is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
npx skills add ahpxex/open-dashboardRun the command in your terminal.
Confirm that the skill files were added to your agent workspace.
Check the README requirements before invoking the skill in your agent.
open-dashboard is a agent skill for AI-assisted frontend work. It is useful when a team wants to move from design context or natural-language requirements into clearer UI assets, components, workflows, or implementation guidance without losing human review.
open-dashboard focuses on a practical part of the AI-native frontend workflow: A skill catalogue of 36 copy-ready admin UI shapes an AI agent installs and composes into a real back-office. Built on TanStack Start, Drizzle + better-auth, shadcn + Tailwind v4. It can help teams shorten the path from prompt, design system, or Figma/browser context to reviewable UI output. Treat it as an acceleration layer rather than an automatic production gate: generated code, tokens, or design decisions should still be checked for accessibility, responsive behavior, maintainability, and license fit.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 28 days ago.
112 GitHub stars indicate community interest.
1 open issues signal maintenance load.
MIT license detected.
Turn UI requirements or design context into more concrete frontend output
Give AI coding agents clearer design-system constraints
Speed up component, layout, or workflow prototyping
Review generated interfaces before implementation or handoff
Review generated UI/code before production use
Check the repository license and maintenance status before commercial adoption
Avoid sharing private design files, credentials, or customer data with agent workflows unless access controls are in place
Use open-dashboard to help me build a production-ready React/Tailwind UI for a developer tool. Keep accessibility, responsive states, and design-system consistency in scope.
112
Stars
9
Forks
1
Issues
MIT
License
Extract any website's complete design system with one command.
Argos is an open source visual testing platform that detects unintended UI changes to help teams maintain quality.
Generate design system documentation for UI components directly from your AI agent, rendering into Figma or portable .md files.
A skill catalogue of 36 copy-ready admin UI shapes an AI agent installs and composes into a real back-office. Built on TanStack Start, Drizzle + better-auth, shadcn + Tailwind v4.
Frontend developers, Design engineers, AI coding agent users
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Review generated UI/code before production use Check the repository license and maintenance status before commercial adoption
Similar or complementary options to evaluate include design-extract, Argos, uSpec.
Jul 11, 2026
3 security/trust notes recorded.
Setup difficulty is 2/5.