agentleFS
milistumilistu/agent-skills/skills/google-adk/SKILL.md

google-adk

Skill8 starsChanged 9 months agoNo licenceView on GitHub

ALWAYS use this skill for any question involving Google ADK (Agent Development Kit). This includes: building or configuring agents (LlmAgent, SequentialAgent, LoopAgent, ParallelAgent, custom BaseAgent), writing function tools or connecting MCP/OpenAPI tools, managing sessions/state/memory, multi-agent routing and pipelines, before/after callbacks, streaming with Gemini Live API (run_live, LiveRequestQueue), deploying to Cloud Run or Vertex AI Agent Engine, evaluating agent behavior, A2A protocol, context caching/compression, grounding with Google Search. Trigger on any mention of 'adk', 'google adk', 'agent development kit', 'LlmAgent', 'SequentialAgent', 'LoopAgent', 'AgentTool', 'tool_context', 'InMemorySessionService', 'VertexAiSessionService', or related ADK class/API names — even if the user doesn't call it ADK explicitly.

4 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 4 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
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  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.