adk-memory-bank-initializer
openbooklet.com/s/adk-memory-bank-initializeropenbooklet.com/s/adk-memory-bank-initializer@1.0.0GET /api/v1/skills/adk-memory-bank-initializerHelps developers implement the long-term memory layer by providing the boilerplate code for the VertexAiMemoryBankService and the save_session_to_memory_callback.
Generates a standard Dockerfile that includes both Python and Node.js environments for AI agents.
Boilerplate for a production evaluation runner that performs parallel inference, captures reasoning traces via SSE, and integrates with the Vertex AI Gen AI Evaluation service.
Provides templates for configuring Vertex AI Gen AI Evaluation metrics like GROUNDING, TOOL_USE_QUALITY, and ResponseMatch for specific agent domains.
Assists developers in collecting and structuring a library of diverse examples ("Golden Dataset") required for data-driven evaluation, including tool trajectories.
Configures Model Armor security policies (Prompt Injection, Jailbreak, RAI filters).
Implements the "Defense-in-Depth" integration pattern in Python (intercepting prompts, parsing filter results).
Standardizes the creation of Sensitive Data Protection (DLP) templates for PII and credential redaction.
Provides custom Python metrics for configuring Vertex AI Gen AI Evaluation to measure Trajectory Precision, Recall, and Order Match.
Implements the "in-memory only" secret pattern for Google Cloud production agents.
Expert in Go project scaffolding, standard layout compliance, and dependency management. Activates for "new project", "structure", "layout".
Specialist in implementing robust HTTP services and APIs in Go. Activates for "endpoint", "handler", "API", "server".
Standardized setup for new Go (Golang) projects and services. Activate to ensure clean, idiomatic project structures (Standard Layout) and implement production-ready patterns (graceful shutdown, package separation) from day one.
Expert code reviewer focusing on idiomatic Go, concurrency safety, and clean code principles. Activates for "review", "idiomatic", "refactor".
Real-time source of truth for software and model versions. Activate when adding dependencies, installing packages, or identifying Gemini model names. Bypasses internal knowledge cutoffs by querying live registries (NPM, PyPI, Go Proxy) and official documentation.
Scaffolds the McpToolset connection logic for standard servers (Reddit, Google Docs) or custom local Python scripts.
Generates optimized descriptions for video platforms from transcripts and supplementary material. Use when the user asks for a video description or provides a transcript for video preparation.
Auto-indexed from GoogleCloudPlatform/devrel-demos
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