原始内容
antigravity-god-mode
Drop-in skill pack that turns any AI coding agent into a full engineering team.
🚀 What is this?
A single folder you place inside your AI agent's config directory. Once loaded, your agent gains access to ~660 specialized skills, 20 expert personas, and 16 workflow commands — covering everything from React patterns to penetration testing to Zoom automation.
No config files to write. No plugins to install. Just copy the folders and go.
git clone https://github.com/SamarthaKV29/antigravity-god-mode.git
cp -r antigravity-god-mode/* ~/.gemini/antigravity/.
🧠 Why?
AI coding agents are powerful out of the box, but they're generalists. They know a little about everything and a lot about nothing specific. That means you spend half your time re-explaining conventions, pasting documentation, and correcting hallucinated API calls.
antigravity-god-mode fixes this by giving your agent deep, structured knowledge across 25+ domains — the same way a senior engineer builds expertise over years, except it loads in seconds.
📦 What's inside
agents/ → 20 specialist personas (security auditor, database architect, etc.)
skills/ → ~660 domain modules (React, Terraform, XSS testing, Wrike automation, etc.)
workflows/ → 16 slash commands (/deploy, /debug, /orchestrate, /test, etc.)
rules/ → Global behavior rules
scripts/ → Validation and verification scripts
🧩 Skill categories at a glance
| Category | Examples | Count |
|---|---|---|
| Frontend & UI | React, Next.js, Vue, Tailwind, Radix UI | ~30 |
| Backend & API | Node.js, FastAPI, NestJS, GraphQL, Go | ~25 |
| Security & Pentesting | OWASP, XSS, SQLi, Burp Suite, Metasploit | ~30 |
| SaaS Automation | Slack, Jira, Zendesk, Salesforce, Zoom, Wrike | ~30 |
| Cloud & Infra | Docker, K8s, Terraform, AWS, GCP, Azure | ~25 |
| AI & ML | RAG, LangChain, LangGraph, prompt engineering | ~20 |
| Testing & Quality | Jest, Playwright, TDD, code review | ~20 |
| Database | PostgreSQL, Prisma, NoSQL, migrations | ~15 |
| Mobile | Flutter, React Native, SwiftUI, iOS | ~8 |
| SEO & Growth | Technical SEO, content strategy, ASO | ~15 |
| Content & Docs | Excel, PDF, PowerPoint, YouTube summaries | ~10 |
| And more... | Game dev, shell scripting, 15+ languages | ~400+ |
🛠️ Workflows
Type a slash command and the agent handles the rest:
- ✨
/create— scaffold a new app with the right agents - 🧪
/debug— systematic root cause analysis - 🚢
/deploy— pre-flight checks → build → deploy → verify - 🧠
/orchestrate— coordinate 3+ specialist agents on complex tasks - ✅
/test— generate and run tests with coverage - 🗺️
/plan— break down a project before writing code - 💡
/brainstorm— explore 3+ options with tradeoffs before committing
⚡ Quick start
- Copy this folder into your agent's config directory (e.g.
~/.gemini/,~/.claude/, or your project's.agent/) - That's it. Your agent now has god mode.
🧭 How it works
When your agent receives a task, it matches the request against skill descriptions and loads the relevant knowledge on demand. A React question pulls in react-patterns and react-best-practices. A security audit loads vulnerability-scanner, xss-html-injection, and pentest-checklist. The agent stays lean until it needs to be deep.
Skills are composable — agents combine multiple skills for complex tasks. The orchestrator agent can coordinate frontend-specialist, backend-specialist, and test-engineer in parallel to build a full feature end-to-end.
� Rules & Behavior
The rules/ directory contains global behavior configurations that govern how agents operate:
- GEMINI.md — Core protocol for Google Gemini agents
- 3-tier rule hierarchy (Universal → Code → Design)
- Socratic Gate: mandatory clarification questions before implementation
- Agent routing and skill loading protocol
- Production-readiness checklists
- Verification script execution standards
Rules define:
- When agents ask questions vs. proceed directly
- How skills are loaded on-demand
- Which verification scripts run at each stage
- What production standards must be met
This ensures consistent behavior across all agents — whether you're debugging, deploying, or designing.
�👥 Who is this for
- Engineers who use AI coding agents daily and want fewer corrections
- Teams standardizing how their AI agents approach architecture, testing, and security
- Anyone tired of re-pasting the same documentation into every conversation
🙌 Credits
This project is a curated assembly — not built from scratch. The workflows and configuration are original, but the skills and foundational kit come from these creators:
| What | Who | Repo |
|---|---|---|
| Antigravity Kit (base agents, core skills, scripts) | @vudovn | antigravity-kit |
| ~600 expanded skills (SaaS automation, security, AI/ML, and more) | @sickn33 | antigravity-awesome-skills |
| Superdesign skill (UI/UX design workflow via CLI) | @superdesigndev | superdesign-skill |
My contribution is the curation: merging these sources into a single working setup, writing the workflows, and maintaining a config that works out of the box for most Antigravity users.
📜 License
See individual skill directories for licensing. Community-contributed skills retain their original licenses.