by ahpxex · Agent Tool · ★ 106
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Open Dashboard English · 简体中文 A catalogue of 36 copy-ready admin UI shapes — CRUD tables, detail & master-detail pages, kanban, calendar, wizard, charts, billing, RBAC, i18n, and more — that an AI agent installs and composes into a real back-office. Open Dashboard is a skill catalogue, not a boilerplate you clone and gut. The skills live in ; an agent (Claude Code, Cursor, Codex, …) installs them and assembles the dashboard you need from the shapes — instead of reverse-engineering a codebase. Every shape is a real, tested component, proven by a live demo in the repo. Install the skills Claude Code Skills are then namespaced under the plugin (e.g. ), so they never collide with other packs. Any other agent (Cursor, Codex, Windsurf, Aider, …) The skills are standard, agent-agnostic files: The shapes assume the foundation (the platform layer they import). Run that first — or fork this repo — then compose the shapes on top. A
| Stars | 106 |
| Forks | 9 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.2889803884728/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-29 |
| Created | 2025-09-28 |
| Platforms | claude-code, node |
| Est. Tokens | ~15k |
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open-dashboard is 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 is categorized as a Agent Tool with 106 GitHub stars.
open-dashboard is primarily written in TypeScript. It covers topics such as admin-dashboard, admin-template, agent-skills.
You can find installation instructions and usage details in the open-dashboard GitHub repository at github.com/ahpxex/open-dashboard. The project has 106 stars and 9 forks, indicating an active community.
open-dashboard is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to open-dashboard on Agent Skills Hub include vibe-stack, mcp-gearbox, vobase. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.