DevOps

Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check the status of an in-progress deployment operation, or clean up…

Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC).

Acts as a Data Boundary Compliance Analyst that maps user compliance queries against Data Boundary Frameworks and cloud controls, validates matched resources…

Generates Terraform HCL configurations for Cloud Monitoring notification channels (`google_monitoring_notification_channel`) and adds notification channels to…

Configures alerting policies in Terraform for Google Kubernetes Engine (GKE) clusters, workloads, and services using PromQL and Google Cloud Managed Service…

Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces.

Turn a complete beginner's app idea into a buildable plan, then keep them oriented while they build.

Bootstrap the KERMT agent environment — verify host docker + nvidia-container-toolkit, build the kermt:latest image from the repo's Dockerfile if it doesn't…

Use when the user wants to build a Python Kafka producer or consumer, add Schema Registry to existing Python code, migrate from raw JSON to schema-backed…

Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology.

Agent Platform Model Tuning.

Create dark-themed, animated technical diagrams as self-contained HTML+SVG files — flowcharts whose connectors visibly flow, and architecture diagrams where…

Coordinates subagent review, fixes, and verification during implementation; use when the user explicitly asks for Garfield on an active code slice, but not…

Deploy applications and websites to Vercel.

Docker, Kubernetes, and AWS ECS/Fargate patterns.

Process JSON with jq and YAML/TOML with yq.

将项目特定目录部署到 ModelScope 仓库

Entry point for AI-agent work on AWS: pick a runtime, plan a migration for existing workloads, and build an executable POC — one phased flow.

Selects, deploys, and customizes AI models on Amazon SageMaker.

Builds, configures, debugs, and optimizes AWS observability - operator-symptom questions and detecting Omni vs classic CloudWatch.

Migrate workloads from Microsoft Azure to AWS.

Migrate workloads from Google Cloud Platform to AWS — plus AI and agentic workloads from any provider.

Migrate workloads from Heroku to AWS.

Migrates vibe-coded web applications to AWS.