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@uberskillsdev/uberskills

v0.10.1

Published

[![License: MIT](https://img.shields.io/badge/License-MIT-black.svg)](LICENSE) [![Build](https://img.shields.io/github/actions/workflow/status/uberskillsdev/uberskills/ci.yml?branch=master)](https://github.com/uberskillsdev/uberskills/actions)

Downloads

97

Readme

uberSKILLS

License: MIT Build

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

| Layer | Technology | |---|---| | Monorepo | Turborepo + pnpm | | Framework | Next.js 15 (App Router) | | UI | shadcn/ui + Tailwind CSS v4 | | Database | SQLite + Drizzle ORM | | AI SDK | Vercel AI SDK + OpenRouter provider | | AI Provider | OpenRouter (Claude, GPT, Gemini, Llama, etc.) | | Logging | Pino (JSON in production, pino-pretty in development) | | Language | TypeScript (strict) | | Testing | Vitest + Playwright | | Linting | Biome |

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 <number>    Port to run on (default: 3000)
--host <string>    Host to bind to (default: localhost)
--data-dir <path>  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
git clone https://github.com/uberskillsdev/uberskills.git
cd uberskills

# Install dependencies (pnpm is enabled via corepack)
corepack enable
pnpm install

# Start the development server
pnpm dev

Open http://localhost:3000. On first launch the app will automatically:

  1. Create the data/ directory and SQLite database
  2. Run Drizzle migrations to initialize the schema
  3. Generate an encryption secret at data/.secret
  4. Open the Settings page prompting for an OpenRouter API key

No Docker, no Postgres, no signup required.

Project Structure

uberskills/
├── apps/
│   ├── web/                 # Next.js 15 — Skills editor app (port 3000)
│   └── landing/             # Next.js 15 — Static landing page (port 3001)
├── packages/
│   ├── types/               # Shared TypeScript interfaces
│   ├── db/                  # Database schema, client, queries (Drizzle + SQLite)
│   ├── skill-engine/        # SKILL.md parser, validator, generator, importer, exporter
│   └── ui/                  # Shared UI components, ThemeProvider, design tokens (shadcn/ui)
├── docs/                    # Project documentation
├── turbo.json               # Turborepo pipeline configuration
├── biome.json               # Linter and formatter configuration
└── tsconfig.json            # Base TypeScript configuration

Available Scripts

| Command | Description | |---|---| | pnpm dev | Start all dev servers (web :3000, landing :3001) | | pnpm dev:web | Start only the editor app on port 3000 | | pnpm dev:landing | Start only the landing page on port 3001 | | pnpm build | Build all packages and apps for production | | pnpm lint | Run Biome linting across the entire monorepo | | pnpm lint:fix | Auto-fix lintable issues | | pnpm format | Format all files with Biome | | pnpm test | Run unit tests with Vitest across all packages | | pnpm typecheck | Run TypeScript type checking across all packages | | pnpm db:migrate | Run database migrations |

Environment Variables

| Variable | Required | Default | Description | |---|---|---|---| | DATABASE_URL | No | file:data/uberskills.db | SQLite database file path | | ENCRYPTION_SECRET | No | Auto-generated | AES-256 key for encrypting the API key. Generated on first run at data/.secret if not set | | PORT | No | 3000 | Development server port | | LOG_LEVEL | No | info | Pino log level (debug, info, warn, error, fatal, silent) | | NODE_ENV | No | development | Environment mode |

Set these in apps/web/.env.local or apps/landing/.env.local (not committed to version control).

Detailed Documentation

Full project documentation is available in the docs/ directory:

  • Getting Started -- Installation, setup, and first steps
  • Features Guide -- How to use the skills library, editor, testing, import/export
  • Architecture -- Monorepo structure, package responsibilities, data flow
  • API Reference -- REST API endpoints and response formats
  • Database -- Schema, Drizzle ORM patterns, queries
  • AI Integration -- OpenRouter, Vercel AI SDK, streaming
  • Skill Engine -- Parser, validator, generator, importer, exporter
  • Security -- Encryption, input validation, filesystem safety
  • Deployment -- Docker, Vercel, self-hosting options

Docker

Build and run via Docker:

docker compose up -d

The app will be available at http://localhost:3000. The data/ directory is mounted as a volume for persistence.

See Dockerfile and docker-compose.yml for details.

Contributing

Contributions are welcome! Please read the Contributing Guide for details on our development workflow, coding standards, and how to submit pull requests.

License

MIT