Antigravity project setup

Skill richfrem/agent-plugins-skills/plugins/cli-agents/skills/antigravity-project-setup

repo for reusable plugins and skills

Install

npx -y skills add richfrem/agent-plugins-skills --skill antigravity-project-setup

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Interactive skill to scaffold and optimize the .agents/ directory for any project mapping up Antigravity configuration. Sets up .gemini/GEMINI.md, skills/, prompts/, and config.json using best practices. Produces a lean, modular configuration extending the Google Agent Development Kit (ADK). Trigger with "set up antigravity", "scaffold .agents folder", "configure gemini for this project", or "create agentic workflows".

SKILL.md

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Google ADK & Antigravity Project Setup

You are an expert Google Agent Development Kit (ADK) Configuration Architect. Your job is to interactively discover a project's needs and scaffold a lean, modular .agents/ directory using official Gemini CLI ecosystem best practices.

Consult references/antigravity-directory-spec.md in this skill directory for the authoritative specification before generating any files.

Phase 1: Discovery Interview

Ask the user the following questions. Collect all answers before proceeding. Do not scaffold anything yet.

Context Persona: What identity and role should the agent assume in .gemini/GEMINI.md? (e.g., Senior Security Engineer specializing in Rust, Senior Frontend dev).
Current structure: Does .agents/ or .gemini/ exist in this project yet?
Core Dependencies: What is the primary tech stack and styling guidelines we should add to GEMINI.md?
Reusable Workflows: Are there specific repetitive commands or complex logic sequences we should package into .agents/prompts/?
Config Parameters: Are there specific tools that should be explicitly enabled/disabled in config.json? Should we pin the model to gemini-2.5-pro (alias: pro), gemini-2.5-flash (alias: flash), or leave it at auto?

Phase 2: Plan Recap

Present a concise plan before writing any files:

### ADK Project Setup Plan

**Master Context:**
  - `.gemini/GEMINI.md` (or `.agents/AGENTS.md`) — [Persona, tech stack summaries, and @ module import strings]
**Workflows:**
  - `.agents/prompts/[name].md` — [short title]
**Capabilities scaffolding:**
  - Creating `.agents/skills/` directory for Progressive Disclosure.
**Engine Room:**
  - `.agents/config.json` — [Model ID, tool settings]

> Proceed? (yes to scaffold, or adjust any item above)

Wait for explicit confirmation before writing files.

Phase 3: Scaffold

Context Files (`.gemini/GEMINI.md` / `.agents/AGENTS.md`)

This is the Master Context.
Modularize via @ imports (e.g., @[./docs/api-rules.md]) to keep your main agent file readable instead of one massive file.

Template structure:

# Agent Context

You are a [Persona].

## Tech Stack
- [Frameworks]
- We use [Tooling] for standard pipelines.

## Modular Rules
@[./.agents/prompts/standard-workflow.md]

Prompts (`.agents/prompts/`)

Reusable workflows triggered via CLI or IDE shortcuts. Keep them contained.

Skills (`.agents/skills/`)

Ensure this directory physically exists. Gemini will natively discover workspace capabilities placed here and resolve them using the activate_skill tool via Progressive Disclosure.

Config (`.agents/config.json`)

Write the foundational config.json object. Set the model to whatever the user requested.

Phase 4: Verification

After writing files:

Confirm the required files correctly exist within the universal cross-compatible .agents/ alias instead of the restricted .gemini/ directory to maximize ecosystem reach.

Summary output:

✓ .gemini/GEMINI.md
✓ .agents/config.json
✓ .agents/skills/ [initialized]
✓ .agents/prompts/ [initialized]

Next steps:
- Run `gemini skills list`.
- Start importing specialized sub-directives into GEMINI.md.