uberSKILLS

Design, test, and deploy Agent Skills through a visual, AI-assisted workflow.

uberSKILLS replaces manual SKILL.md authoring with a structured editor, multi-model testing sandbox, and one-click deployment to your agent’s skills directory.

What is uberSKILLS?

Creating Agent Skills today is entirely manual – authors hand-write YAML frontmatter and markdown instructions, with no built-in way to preview, validate, or test a skill before deploying it.

uberSKILLS is an open-source web application that provides an integrated authoring environment purpose-built for the SKILL.md format, with deploy support for Antigravity, Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, and Windsurf:

• Skills Library – Browse, search, filter, and manage all your skills in one place
• AI-Assisted Creation – Describe what you want in natural language; get a complete SKILL.md draft
• Structured Editor – Edit metadata, instructions, and files with real-time validation and auto-save
• Multi-Model Testing – Test skills against any model on OpenRouter with streaming responses and metrics
• Export & Deploy – One-click deploy to 8 agent tools including Claude Code, GitHub Copilot, Cursor, and Windsurf, or export as zip
• Import – Bulk-import existing skills from directories or zip archives
• Version History – Every change is versioned; browse and compare past versions

Tech Stack

Quickstart

Run uberSKILLS with a single command — no cloning, no setup:

npx @uberskillsdev/uberskills

That’s it. On first run it will automatically set up everything (~2 minutes), then start the server at http://localhost:3000.

Your data is stored at ~/.uberskills/data/ and persists across runs.

Options

--port     Port to run on (default: 3000)
--host     Host to bind to (default: localhost)
--data-dir   Custom data directory (default: ~/.uberskills/data/)
--reset            Delete cached install and re-setup
-d, --debug        Enable debug log level

Prerequisites

• Node.js >= 20
• git — available in PATH

Development Setup

If you want to contribute or run from source:

# Clone the repository