Agent skills for Zed

Diagnose and fix CoreWeave GPU scheduling, pod, and networking errors.

Run distributed GPU training jobs on CoreWeave with multi-node PyTorch.

Optimize CoreWeave GPU cloud costs with right-sizing and scheduling.

Handle training data and model artifacts on CoreWeave persistent storage.

Deploy inference services on CoreWeave with Helm charts and Kustomize.

Deploy a GPU workload on CoreWeave with kubectl.

Incident response runbook for CoreWeave GPU workload failures.

Migrate ML workloads from AWS/GCP/Azure to CoreWeave GPU cloud.

Set up GPU monitoring and observability for CoreWeave workloads.

Optimize CoreWeave GPU inference latency and throughput.

Production readiness checklist for CoreWeave GPU workloads.

Reference architecture for CoreWeave GPU cloud deployments.

Production-ready patterns for CoreWeave GPU workload management with

Monitor CoreWeave cluster events and GPU workload status.

Apply diagonal-cut corners and chamfered edges to buttons, cards, panels, and container shells.

ML/AI engineer — LLM integrations, prompt engineering, model pipelines, evals, RAG.

CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis

Show cost trends across multiple workflow sessions, surfacing expensive operations, spending patterns, and outliers

Empowers Claude with human-like web browsing, real-time search, and dynamic interaction capabilities using Chrome DevTools Protocol (CDP).

Automate Countdown API tasks via Rube MCP (Composio).

Automated search for counterexamples to mathematical conjectures