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.agents/skills/adk-agent-builder/references/getting-started.md

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@@ -4,12 +4,14 @@ Step-by-step guide covering environment setup, basic LLM agents, and workflow ag
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## 📋 New Agent Checklist
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Use this checklist when creating a new agent to ensure it follows convention:
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- [ ] **Directory**: Is there a directory for the agent?
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- [ ] **__init__.py**: Does it contain `from . import agent`?
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- [ ] **agent.py**: Does it define `root_agent` or `app`?
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- [ ] **.env**: Is there a `.env` file with the appropriate API keys? (Do not commit to git)
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## 💡 Quick Reference (CLI Commands)
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- **Create**: `adk create <agent_name>` (Scaffolds a new agent project)
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- **Web UI**: `adk web <path_to_agent_dir>` (Starts dev server at localhost:8000)
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- **Run CLI**: `adk run <path_to_agent_dir>` (Interactive or query mode)
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Create a `.env` file in the agent directory:
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```
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GOOGLE_GENAI_USE_VERTEXAI=FALSE
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GOOGLE_GENAI_USE_ENTERPRISE=FALSE
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GOOGLE_API_KEY=YOUR_API_KEY
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```
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For production use with Google Cloud:
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```
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GOOGLE_GENAI_USE_VERTEXAI=TRUE
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GOOGLE_GENAI_USE_ENTERPRISE=TRUE
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GOOGLE_CLOUD_PROJECT=your-project-id
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GOOGLE_CLOUD_LOCATION=us-central1
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```
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Combines Vertex AI with API key authentication:
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```
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GOOGLE_GENAI_USE_VERTEXAI=TRUE
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GOOGLE_GENAI_USE_ENTERPRISE=TRUE
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GOOGLE_API_KEY=YOUR_EXPRESS_MODE_KEY
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```
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.agents/skills/adk-issue-analyze/SKILL.md

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.agents/skills/adk-issue-fix/SKILL.md

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.agents/skills/adk-issue/SKILL.md

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