A wave of community-driven resources—collections of "Agent Personas," "Mission Templates," and "Agent Skills" that define how AI agents behave inside Google's agent-first development environment, Google Antigravity—has appeared on GitHub, and developers are increasingly putting them to use.
Google Antigravity · Community Ecosystem
Developers Are Building the Playbook for Google's Agent-First IDE
A community-maintained collection of Agent Personas and Mission Templates for Antigravity is spreading — filling the gaps official docs haven't yet covered with shared prompts, flows and checklists.
18
Aggregated resources — personas, templates & troubleshooting
100s
Agent Skills bundled in parallel repositories
2
Foundation models (Gemini + Claude) free to try in preview
Not code-completion — parallel agent orchestration
Where conventional tools complete lines linearly, Antigravity runs multiple autonomous agents at once — rated stronger on complex tasks.
Linear chat tool
1 agent
one task at a time
vs
Antigravity Agent Manager
refactor
write tests
verify + build
multiple parallel threads
What the community is sharing
Agent Personas
System prompts giving an agent a role or specialty.
• "Ruthless Code Reviewer"
Mission Templates
Standardized flows & checklists for complex tasks.
• Full-stack feature flows
Custom definitions live under /.agent/rules/ and workflows/
Where it shines
Parallel agents beat linear chat on complex work
VS Code fork — easy migration & extension support
Gemini and Claude models free to try
Refactoring, test generation, front-ends from screenshots
Where it's still rough
Vague prompts leave CSS messy — detail required
Agents can act excessively
Speed and reliability still rough for daily use
Not yet a full daily replacement
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