Browse plugins

Production ADK orchestrator for A2A protocol and multi-agent coordination on Vertex AI

ADK software engineer for creating production-ready agents with testing, deployment, and multi-agent orchestration

Terraform infrastructure as code for ADK and Vertex AI Agent Engine deployments

Firebase platform expert for Firestore, Auth, Functions, and Vertex AI integration

Firestore database specialist for schema design, queries, and real-time sync

Google Cloud starter kits and example code aggregator with ADK samples

Firebase Genkit expert for production-ready AI workflows with RAG and tool calling

Terraform modules for Firebase Genkit infrastructure and deployments

GitHub Actions CI/CD workflows for Google Cloud and Vertex AI deployments

Google Agent Development Kit (ADK) SDK starter kit for building Claude-powered AI agents with React patterns, multi-agent orchestration, and tool integration

Ultimate plugin management toolkit with 4 auto-invoked Skills for creating, validating, auditing, and versioning plugins in the claude-code-plugins marketplace

Comprehensive Vertex AI integration plugin for building generative AI agents with Gemini, Vertex AI Studio, and production deployment on Google Cloud

Vertex AI Agent Engine deployment inspector and runtime validator

Terraform configurations for Vertex AI platform and Agent Engine

Production readiness validator for Vertex AI deployments and configurations

Create Kubernetes deployments, services, and configurations with best practices

Review existing analytics — find all dashboards and reports, check who uses them, whether metrics are defined, and whether they drive decisions. Recommend what to keep, kill, or add. Use when asked "are our dashboards useful", "analytics review", or "metrics audit".

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Design and spec an analytical dashboard — define the question each chart answers, write the SQL queries, spec the layout and refresh cadence. Produces a complete dashboard spec ready to implement. Use when asked to "build a dashboard", "analytics dashboard", "BI dashboard", "weekly product health", or "visualize this data".

Produce a complete metrics definition doc — metric name, formula, data source, segmentation, SQL or event tracking spec, and what good/bad looks like. Given a product area, outputs the full metrics spec. Use when asked to "define KPIs", "metrics framework", "what should we measure", "north star metric", or "instrument this feature".

Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map. Use when asked "what analytics exist", "BI assessment", or "what do we track".

Build a reporting pipeline — scheduled reports with SQL queries, delivery via Slack or email, threshold alerts, and historical comparison. Use when asked for "automated reports", "scheduled report", "email digest", or "Slack alerts for metrics".

Analyze DeFi liquidity pools for impermanent loss, APY, and optimization opportunities

Configure load balancers (ALB, NLB, Nginx, HAProxy)