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.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongoogle-adk-pythonExecute the skills CLI command in your project's root directory to begin installation:
Fetches google-adk-python from cnemri/google-genai-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate google-adk-python. Access via /google-adk-python in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
0
total installs
0
this week
114
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upvotes
Run in your terminal
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this week
114
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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.
web_fetch or run_shell_command with curl if you need to provide the actual content to the user.Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Solid pick for teams standardizing on skills: google-adk-python is focused, and the summary matches what you get after install.
google-adk-python is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for google-adk-python matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for google-adk-python matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: google-adk-python is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: google-adk-python is focused, and the summary matches what you get after install.
I recommend google-adk-python for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in google-adk-python — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added google-adk-python from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: google-adk-python is focused, and the summary matches what you get after install.
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