Co-Pilot
Updated a month ago

antigravity-kit

Vvudovn
2.9k
vudovn/antigravity-kit
80
Agent Score

💡 Summary

Antigravity Kit provides AI agent templates for various skills, enabling seamless task execution and workflows.

🎯 Target Audience

Software developersProject managersQA engineersSecurity auditorsTech startups

🤖 AI Roast:Powerful, but the setup might scare off the impatient.

Security AnalysisMedium Risk

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

Buy me coffee

License

MIT © Vudovn

5-Dim Analysis
Clarity8/10
Novelty7/10
Utility9/10
Completeness8/10
Maintainability8/10
Pros & Cons

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

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author vudovn.