DevOps

Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or…

Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments…

Use when building Next.js 14+ applications with App Router, server components, or server actions.

Use when writing E2E tests with Playwright, setting up test infrastructure, or debugging flaky browser tests.

Writes and debugs Apex code, builds Lightning Web Components, optimizes SOQL queries, implements triggers, batch jobs, platform events, and integrations on…

Identifies security vulnerabilities, generates structured audit reports with severity ratings, and provides actionable remediation guidance.

Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP.

Use when the user wants to integrate a Kafka client into an existing application or scaffold a Java Kafka client project (Maven or Gradle based) for Confluent…

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…

Software supply chain security — dependency confusion, CI/CD pipeline attacks, lockfile integrity, and build artifact verification.

Use when a user wants to wire an OpenTelemetry collector into a Managed ClickStack service on ClickHouse Cloud, either by deploying a new local collector…

Configures best-practice, high-signal alerting policies for Cloud Run resources on Google Cloud (services, jobs, and worker pools) based on seasoned SRE…

Use when fixing NeMo Agent Toolkit documentation path-check failures, especially failed `ci/scripts/path_checks.py` output, slash-delimited text mistaken for…

Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API.

Manages GenAI tuning jobs in Agent Platform.

Native stacked pull requests through the github/gh-stack extension.

Run GPU workloads on Modal — training, fine-tuning, inference, batch processing.

Diagnose and fix tests that pass sometimes and fail other times.

Check progress for a detached KERMT run (pretrain, finetune, or any kermt_run_detached invocation).

Use when generating or analyzing male-oriented lord, territory building, kingdom management, base construction, farming-war, or infrastructure expansion…

Diagnose, troubleshoot, and advise on any Qdrant deployment by loading the latest official Qdrant skills live from skills.qdrant.tech.

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

Agent Platform Model Tuning.

Deploy and run ML experiments on local or remote GPU servers.