657 skills found · Page 5 of 22
google / gke-ai-troubleshooting-handle-disruption-gpu-tpuDiagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE
google / google-cloud-solution-agentic-ai-bidirectional-streamingGuides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for real-time technical guidance and safety monitoring.
google / google-cloud-solution-agentic-ai-borderless-data-lakehouseDiscovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents
google / agent-platform-tuningAgent Platform Model Tuning
google / developer-device-platform-basicsProvides guidance and instructions on managing remote devices on Developer Device Platform (DDP)
google / gke-ai-troubleshooting-jobset-interruptionDiagnoses GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads autonomously
google / gke-ai-troubleshooting-tpu-dynamic-slices-monitoringMonitors, troubleshoots, and manages GKE TPU Dynamic Slices custom resources
google / gke-ai-troubleshooting-tpu-metrics-monitoringMonitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL
google / google-agents-cli-onboardingOnboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to "create a new agent", "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "evaluate an agent", "deploy an agent", "publish an agent", "monitor an…
wanshuiyin / experiment-queueSSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention
wanshuiyin / serverless-modalRun GPU workloads on Modal — training, fine-tuning, inference, batch processing. Zero-config serverless: no SSH, no Docker, auto scale-to-zero
wanshuiyin / qzcliManage GPU compute jobs on the Qizhi (启智) platform using qzcli — a kubectl-style CLI tool
muratcankoylan / hosted-agentsThis skill should be used when designing hosted or background agent infrastructure: sandboxed execution, remote coding environments, warm pools, session persistence, multiplayer collaboration, self-spawning agents, or Modal-style sandboxes.
kubesphere / frontend-forge-fe-operationsOperate FrontendExtension (FE) resources in frontend-forge: create, update, rebuild, inspect package artifacts, download packages, publish, unpublish, delete, and debug package/publish controller behavior.
kubesphere / kubeeyeUse when deploying KubeEye for cluster inspection, creating InspectRule/InspectPlan resources, or retrieving inspection results. Covers InstallPlan-based deployment, OPA/PromQL/FileChange/Sysctl/Systemd/NodeInfo/FileFilter/ServiceConnect/CustomCommand rule types, and report retrieval.
kubesphere / kubesphere-gateway-apiKubeSphere Gateway API extension management Skill (Traefik based, uses Kubernetes Gateway API + GatewayProxy CRD gatewayapi.kubesphere.io/v1alpha1). This is the newer Kubernetes Gateway API standard.
kubesphere / kubesphere-gatewayKubeSphere Gateway extension management Skill (ingress-nginx based, uses Kubernetes Ingress API + Gateway CRD gateway.kubesphere.io/v2alpha2). For the newer Kubernetes Gateway API (Traefik + GatewayProxy CRD), see the kubesphere-gateway-api skill instead.
kubesphere / nodegroupNodeGroup operation Skill for the edgewize nodegroup project. Use this whenever the user wants to query, create, update, delete, bind, unbind, or troubleshoot NodeGroup resources, including node binding, namespace binding, workspace binding, and deployment/config inspection for nodegroup.
kubesphere / whizard-auditingUse when working with WizTelemetry Auditing extension for KubeSphere, including installation, configuration, and audit query API
kubesphere / whizard-eventsUse when working with WizTelemetry Events extension for KubeSphere, including installation, configuration, and event query API
kubesphere / kubesphere-coreKubeSphere central controller Skill. Routes to specific Skills based on user requests: multi-cluster management (kubesphere-cluster-management), multi-tenant management (kubesphere-multi-tenant-management), extension management (kubesphere-extension-management).
kubesphere / kubesphere-devops-tenantUse when operating KubeSphere DevOps as a namespace-scoped tenant with limited permissions, without cluster-admin access, or when accessing DevOps through KubeSphere APIs only
Orchestra-Research / mlflowTrack ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform
Orchestra-Research / fine-tuning-openvla-oftFine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning on LIBERO simulation and ALOHA real-world setups
Orchestra-Research / pineconeManaged vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale.
Orchestra-Research / lambda-labs-gpu-cloudReserved and on-demand GPU cloud instances for ML training and inference
Orchestra-Research / model-mergingMerge multiple fine-tuned models using mergekit to combine capabilities without retraining
Jeffallan / database-optimizerOptimizes database queries and improves performance across PostgreSQL and MySQL systems
Jeffallan / postgres-proUse when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring.
Jeffallan / architecture-designerUse when designing new high-level system architecture, reviewing existing designs, or making architectural decisions. Invoke to create architecture diagrams, write Architecture Decision Records (ADRs), evaluate technology trade-offs, design component interactions, and plan for scalability.
