💡 Summary
Antigravity Kit provides AI agent templates for various skills, enabling seamless task execution and workflows.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); filesystem read/write scope and path traversal; dependency pinning and supply-chain risk. Run with least privilege and audit before enabling in production.
Antigravity Kit
AI Agent templates with Skills, Agents, and Workflows
Quick Install
npx @vudovn/ag-kit init
Or install globally:
npm install -g @vudovn/ag-kit ag-kit init
This installs the .agent folder containing all templates into your project.
What's Included
| Component | Count | Description | | ------------- | ----- | ------------------------------------------------------------------ | | Agents | 20 | Specialist AI personas (frontend, backend, security, PM, QA, etc.) | | Skills | 36 | Domain-specific knowledge modules | | Workflows | 11 | Slash command procedures |
Usage
Using Agents
No need to mention agents explicitly! The system automatically detects and applies the right specialist(s):
You: "Add JWT authentication"
AI: 🤖 Applying @security-auditor + @backend-specialist...
You: "Fix the dark mode button"
AI: 🤖 Using @frontend-specialist...
You: "Login returns 500 error"
AI: 🤖 Using @debugger for systematic analysis...
How it works:
-
Analyzes your request silently
-
Detects domain(s) automatically (frontend, backend, security, etc.)
-
Selects the best specialist(s)
-
Informs you which expertise is being applied
-
You get specialist-level responses without needing to know the system architecture
Benefits:
- ✅ Zero learning curve - just describe what you need
- ✅ Always get expert responses
- ✅ Transparent - shows which agent is being used
- ✅ Can still override by mentioning agent explicitly
Using Workflows
Invoke workflows with slash commands:
| Command | Description |
| ---------------- | ------------------------------------- |
| /brainstorm | Explore options before implementation |
| /create | Create new features or apps |
| /debug | Systematic debugging |
| /deploy | Deploy application |
| /enhance | Improve existing code |
| /orchestrate | Multi-agent coordination |
| /plan | Create task breakdown |
| /preview | Preview changes locally |
| /status | Check project status |
| /test | Generate and run tests |
| /ui-ux-pro-max | Design with 50 styles |
Example:
/brainstorm authentication system
/create landing page with hero section
/debug why login fails
Using Skills
Skills are loaded automatically based on task context. The AI reads skill descriptions and applies relevant knowledge.
CLI Tool
| Command | Description |
| --------------- | ----------------------------------------- |
| ag-kit init | Install .agent folder into your project |
| ag-kit update | Update to the latest version |
| ag-kit status | Check installation status |
Options
ag-kit init --force # Overwrite existing .agent folder ag-kit init --path ./myapp # Install in specific directory ag-kit init --branch dev # Use specific branch ag-kit init --quiet # Suppress output (for CI/CD) ag-kit init --dry-run # Preview actions without executing
Documentation
- Web App Example - Step-by-step guide to creating a web application
- Online Docs - Browse all documentation online
Buy me coffee
License
MIT © Vudovn
Pros
- Zero learning curve
- Expert responses
- Transparent agent usage
- Automatic skill application
Cons
- Limited customization
- Dependency on AI accuracy
- Potential learning limitations
- Requires internet access
Related Skills
claude-mods
A“Powerful, but the setup might scare off the impatient.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author vudovn.
