deep-research
Perform autonomous, multi-step research using the Gemini Deep Research Agent (Interactions API). Supports web search,…
Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python.
$ npx -y skills add cnemri/google-genai-skills --skill google-adk-python --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/google-adk-pythonContext preview
The summary Claude sees to decide when to auto-load this skill.
Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python.
name: google-adk-python description: Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python.
This skill provides comprehensive documentation and Python examples for the Google Agent Development Kit (ADK). It maps documentation topics to their corresponding Python code snippets.
Identify the user's specific interest or task and refer to the relevant reference file below. Each reference file contains links to the official documentation (Markdown) and the corresponding Python examples (raw code).
For installation, quickstarts, and basic agent setup.
For creating different types of agents (LLM, Workflow, Loop, Parallel, Sequential) and configuring specific models (Gemini, Anthropic, etc.).
For integrating tools like Google Search, Code Execution, BigQuery, third-party services (GitHub, Jira, etc.), MCP, and Grounding.
For building real-time, low-latency streaming agents (audio/video).
For hooking into agent lifecycle events (before/after agent, model, tool execution).
For deep dives into the Runtime, Sessions, Memory, Context, Events, Artifacts, and Plugins.
For deploying agents (Cloud Run, GKE) and observability (Logging, Tracing, Evaluation).
For end-to-end tutorials and complete agent samples (e.g., YouTube Shorts Assistant, Weather Agent).
For REST API details.
For project info, community, release notes, and limitations.
A curated collection of agentic skills for Google AI frameworks and models. Designed to work seamlessly with Gemini CLI, Antigravity, Claude Code, and more. Author: Chouaieb Nemri
Perform autonomous, multi-step research using the Gemini Deep Research Agent (Interactions API). Supports web search,…
Search and retrieve Google's developer documentation using the Developer Knowledge API. Query documentation chunks, get full…
Expert guidance for writing Python code using the official Google GenAI SDK (google-genai) for Gemini API and Vertex AI. Use for…
Generate and edit high-quality images using Gemini 2.5 Flash Image and Gemini 3 Pro Image (Nano Banana). Supports Text-to-Image,…
Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts. Handles authentication via API…
Generate and transcribe speech using Google's Gemini-TTS and Chirp 3 models. Supports Text-to-Speech (Single/Multi-speaker),…