By Agentient
Google Agent Development Kit (ADK) patterns for building AI agents with Vertex AI
Foundational knowledge for creating ADK (Agent Development Kit) agents including environment setup, project structure, and basic agent scaffolding. PROACTIVELY activate for: (1) new ADK agent creation, (2) ADK project setup and environment configuration, (3) AdkApp initialization and understanding core ADK architecture. Triggers: "create adk agent", "new agent", "setup adk"
Multi-agent orchestration patterns including coordinator agents, LlmAgent vs WorkflowAgent selection, agent-as-tool pattern, and inter-agent communication via session state. PROACTIVELY activate for: (1) multi-agent systems and agent coordination, (2) sub-agent delegation and agent-as-tool implementation, (3) workflow orchestration with LlmAgent and WorkflowAgent. Triggers: "multi-agent", "orchestration", "agent team"
Best practices for engineering high-quality system prompts for AI agents with emphasis on XML structure, clarity, few-shot examples, and token efficiency. PROACTIVELY activate for: (1) system prompt creation and optimization, (2) instruction clarity improvement and few-shot example design, (3) XML tag structure implementation and prompt templates. Triggers: "system prompt", "optimize prompt", "prompt engineering"
Vertex AI RAG Engine integration patterns for grounding agent responses in private data sources including corpus management, retrieval tool creation, and citation extraction. PROACTIVELY activate for: (1) RAG pipeline integration and Vertex AI RAG Engine setup, (2) corpus creation and document ingestion, (3) retrieval tool configuration and grounding metadata parsing. Triggers: "add rag", "rag pipeline", "vertex ai search"
Vertex AI SDK patterns for configuring Gemini models including generation parameters, safety settings, streaming responses, and function calling. PROACTIVELY activate for: (1) model configuration and temperature settings, (2) safety controls and streaming implementation, (3) Vertex AI endpoint selection and function calling. Triggers: "gemini config", "model parameters", "streaming response"
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npx claudepluginhub agentient/vibekit --plugin adk-toolsModel Context Protocol (MCP) server development patterns
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Testing, code review, linting, and coverage analysis patterns
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Build AI agents with Google's Agent Development Kit (ADK) - supports Python, TypeScript, Go, and Java
Production ADK orchestrator for A2A protocol and multi-agent coordination on Vertex AI
Scaffold, develop, evaluate, and deploy AI agents with Google ADK. Bundles 7 skills for the agent development lifecycle.
Personal collection of agent skills using the open SKILL.md standard
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Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.