adk-python

# ADK Python Skill This skill helps you build AI agents using the **Agent Development Kit (ADK)** for Python. ## Core Workflows ### 1. Initialize ADK Knowledge Always start by fetching the latest ADK documentation to ensure you have the most up-to-date patterns and API references. - **Option A (Summary)**: Fetch `llms.txt` for a high-level overview and index. - **Option B (Deep Dive)**: Fetch `llms-full.txt` for comprehensive documentation (large file). Use the provided script to fetch these: ```bash python3 scripts/fetch_context.py --type summary # for llms.txt python3 scripts/fetch_context.py --type full # for llms-full.txt ``` ### 2. Create an Agent Basic pattern for a single agent: ```python from google.adk.agents import Agent from google.adk.tools import google_search agent = Agent( name="my_agent", model="gemini-2.0-flash", instruction="Your instructions here", tools=[google_search] ) ``` ### 3. Multi-Agent Systems Use `LlmAgent` and `sub_agents` to compose systems: ```python from google.adk.agents import LlmAgent child_agent = LlmAgent(name="child", model="gemini-2.0-flash", ...) parent_agent = LlmAgent( name="coordinator", model="gemini-2.0-flash", sub_agents=[child_agent] ) ``` ## Cross-Language Development If the user prefers TypeScript or Go, point them to these resources: - **Go ADK**: [github.com/google/adk-go](https://github.com/google/adk-go) - **TypeScript/Web ADK**: [github.com/google/adk-web](https://github.com/google/adk-web) - **Java ADK**: [github.com/google/adk-java](https://github.com/google/adk-java) ## Reference Material See [adk_links.md](references/adk_links.md) for a comprehensive list of ADK documentation and repositories.