[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M78YYVD2H8BY2MSG755DF7B9":3,"skill-same:01M78YYVD2H8BY2MSG755DF7B9":58},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":35,"commitSha":36,"skillDirectory":37,"forksCount":38,"repositoryHtmlUrl":39,"repositoryHomepageUrl":6,"ownerHtmlUrl":40,"ownerBlogUrl":41,"ownerDescription":42,"updatedAt":43,"install":44,"resources":57},"01M78YYVD2H8BY2MSG755DF7B9","coreweave-core-workflow-b",null,"Run distributed GPU training jobs on CoreWeave with multi-node PyTorch.\nUse when training models across multiple GPUs, setting up distributed training,\nor running fine-tuning jobs on CoreWeave H100 clusters.\nTrigger with phrases like \"coreweave training\", \"coreweave multi-gpu\",\n\"distributed training coreweave\", \"fine-tune on coreweave\".","jukeyman\u002Fjukeyman-skills","jukeyman","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142960420?v=4","01M78FR4Y3DHMMCBCC0GXXNB3F","RICK JEFFERSON","01M78FR4Z8RVQRAD31Y5J7V6EB",1,"MIT","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fsaas-packs--coreweave-pack--coreweave-core-workflow-b\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: coreweave-core-workflow-b\ndescription: |\n  Run distributed GPU training jobs on CoreWeave with multi-node PyTorch.\n  Use when training models across multiple GPUs, setting up distributed training,\n  or running fine-tuning jobs on CoreWeave H100 clusters.\n  Trigger with phrases like \"coreweave training\", \"coreweave multi-gpu\",\n  \"distributed training coreweave\", \"fine-tune on coreweave\".\nallowed-tools: Read, Write, Edit, Bash(kubectl:*), Grep\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\ntags: [saas, gpu-cloud, kubernetes, inference, coreweave]\ncompatible-with: claude-code\n---\n\n# CoreWeave Core Workflow: GPU Training\n\n## Overview\n\nRun distributed GPU training on CoreWeave: single-node multi-GPU and multi-node training with PyTorch DDP, Slurm-on-Kubernetes, and shared storage.\n\n## Prerequisites\n\n- CKS cluster with multi-GPU node pools (8xA100 or 8xH100)\n- Shared storage (CoreWeave PVC or NFS)\n- Training container with PyTorch and NCCL\n\n## Instructions\n\n### Step 1: Single-Node Multi-GPU Training\n\n```yaml\n# training-job.yaml\napiVersion: batch\u002Fv1\nkind: Job\nmetadata:\n  name: llm-finetune\nspec:\n  template:\n    spec:\n      restartPolicy: Never\n      containers:\n        - name: trainer\n          image: ghcr.io\u002Fmyorg\u002Ftrainer:latest\n          command: [\"torchrun\"]\n          args:\n            - \"--nproc_per_node=8\"\n            - \"train.py\"\n            - \"--model_name=meta-llama\u002FLlama-3.1-8B\"\n            - \"--batch_size=4\"\n            - \"--epochs=3\"\n          resources:\n            limits:\n              nvidia.com\u002Fgpu: \"8\"\n              memory: 512Gi\n              cpu: \"64\"\n          volumeMounts:\n            - name: data\n              mountPath: \u002Fdata\n            - name: checkpoints\n              mountPath: \u002Fcheckpoints\n      volumes:\n        - name: data\n          persistentVolumeClaim:\n            claimName: training-data\n        - name: checkpoints\n          persistentVolumeClaim:\n            claimName: model-checkpoints\n      affinity:\n        nodeAffinity:\n          requiredDuringSchedulingIgnoredDuringExecution:\n            nodeSelectorTerms:\n              - matchExpressions:\n                  - key: gpu.nvidia.com\u002Fclass\n                    operator: In\n                    values: [\"A100_NVLINK_A100_SXM4_80GB\"]\n```\n\n### Step 2: Persistent Storage for Training Data\n\n```yaml\n# storage.yaml\napiVersion: v1\nkind: PersistentVolumeClaim\nmetadata:\n  name: training-data\nspec:\n  accessModes: [\"ReadWriteMany\"]\n  resources:\n    requests:\n      storage: 500Gi\n  storageClassName: shared-hdd-ord1\n---\napiVersion: v1\nkind: PersistentVolumeClaim\nmetadata:\n  name: model-checkpoints\nspec:\n  accessModes: [\"ReadWriteMany\"]\n  resources:\n    requests:\n      storage: 200Gi\n  storageClassName: shared-ssd-ord1\n```\n\n### Step 3: Monitor Training Progress\n\n```bash\n# Watch training logs\nkubectl logs -f job\u002Fllm-finetune\n\n# Check GPU utilization\nkubectl exec -it $(kubectl get pod -l job-name=llm-finetune -o name) -- nvidia-smi\n\n# Check training metrics\nkubectl exec -it $(kubectl get pod -l job-name=llm-finetune -o name) -- \\\n  cat \u002Fcheckpoints\u002Ftraining_log.json | tail -5\n```\n\n## Error Handling\n\n| Error | Cause | Solution |\n|-------|-------|----------|\n| NCCL timeout | Network issue between GPUs | Use NVLink nodes (SXM4\u002FSXM5) |\n| OOMKilled | Batch size too large | Reduce batch size or use gradient accumulation |\n| Checkpoint save failed | PVC full | Increase storage or prune old checkpoints |\n| Job evicted | Preemption | Use on-demand nodes for training |\n\n## Resources\n\n- [CoreWeave CKS](https:\u002F\u002Fdocs.coreweave.com\u002Fdocs\u002Fproducts\u002Fcks)\n- [PyTorch Distributed Training](https:\u002F\u002Fpytorch.org\u002Ftutorials\u002Fintermediate\u002Fddp_tutorial.html)\n\n## Next Steps\n\nFor troubleshooting, see `coreweave-common-errors`.\n","# CoreWeave Core Workflow: GPU Training\n\n## Overview\n\nRun distributed GPU training on CoreWeave: single-node multi-GPU and multi-node training with PyTorch DDP, Slurm-on-Kubernetes, and shared storage.\n\n## Prerequisites\n\n- CKS cluster with multi-GPU node pools (8xA100 or 8xH100)\n- Shared storage (CoreWeave PVC or NFS)\n- Training container with PyTorch and NCCL\n\n## Instructions\n\n### Step 1: Single-Node Multi-GPU Training\n\n```yaml\n# training-job.yaml\napiVersion: batch\u002Fv1\nkind: Job\nmetadata:\n  name: llm-finetune\nspec:\n  template:\n    spec:\n      restartPolicy: Never\n      containers:\n        - name: trainer\n          image: ghcr.io\u002Fmyorg\u002Ftrainer:latest\n          command: [\"torchrun\"]\n          args:\n            - \"--nproc_per_node=8\"\n            - \"train.py\"\n            - \"--model_name=meta-llama\u002FLlama-3.1-8B\"\n            - \"--batch_size=4\"\n            - \"--epochs=3\"\n          resources:\n            limits:\n              nvidia.com\u002Fgpu: \"8\"\n              memory: 512Gi\n              cpu: \"64\"\n          volumeMounts:\n            - name: data\n              mountPath: \u002Fdata\n            - name: checkpoints\n              mountPath: \u002Fcheckpoints\n      volumes:\n        - name: data\n          persistentVolumeClaim:\n            claimName: training-data\n        - name: checkpoints\n          persistentVolumeClaim:\n            claimName: model-checkpoints\n      affinity:\n        nodeAffinity:\n          requiredDuringSchedulingIgnoredDuringExecution:\n            nodeSelectorTerms:\n              - matchExpressions:\n                  - key: gpu.nvidia.com\u002Fclass\n                    operator: In\n                    values: [\"A100_NVLINK_A100_SXM4_80GB\"]\n```\n\n### Step 2: Persistent Storage for Training Data\n\n```yaml\n# storage.yaml\napiVersion: v1\nkind: PersistentVolumeClaim\nmetadata:\n  name: training-data\nspec:\n  accessModes: [\"ReadWriteMany\"]\n  resources:\n    requests:\n      storage: 500Gi\n  storageClassName: shared-hdd-ord1\n---\napiVersion: v1\nkind: PersistentVolumeClaim\nmetadata:\n  name: model-checkpoints\nspec:\n  accessModes: [\"ReadWriteMany\"]\n  resources:\n    requests:\n      storage: 200Gi\n  storageClassName: shared-ssd-ord1\n```\n\n### Step 3: Monitor Training Progress\n\n```bash\n# Watch training logs\nkubectl logs -f job\u002Fllm-finetune\n\n# Check GPU utilization\nkubectl exec -it $(kubectl get pod -l job-name=llm-finetune -o name) -- nvidia-smi\n\n# Check training metrics\nkubectl exec -it $(kubectl get pod -l job-name=llm-finetune -o name) -- \\\n  cat \u002Fcheckpoints\u002Ftraining_log.json | tail -5\n```\n\n## Error Handling\n\n| Error | Cause | Solution |\n|-------|-------|----------|\n| NCCL timeout | Network issue between GPUs | Use NVLink nodes (SXM4\u002FSXM5) |\n| OOMKilled | Batch size too large | Reduce batch size or use gradient accumulation |\n| Checkpoint save failed | PVC full | Increase storage or prune old checkpoints |\n| Job evicted | Preemption | Use on-demand nodes for training |\n\n## Resources\n\n- [CoreWeave CKS](https:\u002F\u002Fdocs.coreweave.com\u002Fdocs\u002Fproducts\u002Fcks)\n- [PyTorch Distributed Training](https:\u002F\u002Fpytorch.org\u002Ftutorials\u002Fintermediate\u002Fddp_tutorial.html)\n\n## Next Steps\n\nFor troubleshooting, see `coreweave-common-errors`.\n",{"name":5,"tags":24,"author":30,"license":15,"version":31,"description":32,"allowed-tools":33,"compatible-with":34},[25,26,27,28,29],"saas","gpu-cloud","kubernetes","inference","coreweave","Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Run distributed GPU training jobs on CoreWeave with multi-node PyTorch.\nUse when training models across multiple GPUs, setting up distributed training,\nor running fine-tuning jobs on CoreWeave H100 clusters.\nTrigger with phrases like \"coreweave training\", \"coreweave multi-gpu\",\n\"distributed training coreweave\", \"fine-tune on coreweave\".\n","Read, Write, Edit, Bash(kubectl:*), Grep","claude-code","main","99825ad3f3bcc6597ddcc7294a14e6e922f2b67b","skills\u002Fsaas-packs--coreweave-pack--coreweave-core-workflow-b",0,"https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills","https:\u002F\u002Fgithub.com\u002Fjukeyman","https:\u002F\u002FRJBUSINESSSOLUTIONS.ORG","Credit and Finance Expert | Developer\r\n\r\nI'm Rick Jefferson, a seasoned credit and finance expert with over a decade of experience in financial literacy,","2026-07-13 07:03:29",{"source":8,"skillName":5,"commands":45,"prompt":55,"zipAvailable":56},[46,49,52],{"tool":47,"command":48},"npx","npx skills add jukeyman\u002Fjukeyman-skills --skill coreweave-core-workflow-b",{"tool":50,"command":51},"bunx","bunx skills add jukeyman\u002Fjukeyman-skills --skill coreweave-core-workflow-b",{"tool":53,"command":54},"pnpm","pnpm dlx skills add jukeyman\u002Fjukeyman-skills --skill coreweave-core-workflow-b","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fsaas-packs--coreweave-pack--coreweave-core-workflow-b\u002FSKILL.md",true,[],[59,66,73,80,87,95],{"skillNo":60,"name":61,"nameZh":6,"description":62,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":63,"categories":64,"keywords":65,"publishedAt":19},"01M79ANS2SM329NEP5ZCX106RR","zustand-store-creator","Create zustand store creator operations. Auto-activating skill for Frontend Development.\nTriggers on: zustand store creator, zustand store creator\nPart of the Frontend Development skill category. Use when working with zustand store creator functionality. Trigger with phrases like \"zustand store creator\", \"zustand creator\", \"zustand\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzustand-store-creator\u002FSKILL.md",[],[],{"skillNo":67,"name":68,"nameZh":6,"description":69,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":70,"categories":71,"keywords":72,"publishedAt":19},"01M79AMZKP4YDEZ7EHG1Y7PP74","zero-trust-config-helper","Configure with zero trust config helper operations. Auto-activating skill for Security Advanced.\nTriggers on: zero trust config helper, zero trust config helper\nPart of the Security Advanced skill category. Use when configuring systems or services. Trigger with phrases like \"zero trust config helper\", \"zero helper\", \"zero\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzero-trust-config-helper\u002FSKILL.md",[],[],{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":79,"publishedAt":19},"01M79AMJSBCEJQNBTYNAHYN5HM","zapier-integration-helper","Assist with zapier integration helper operations. Auto-activating skill for Business Automation.\nTriggers on: zapier integration helper, zapier integration helper\nPart of the Business Automation skill category. Use when working with APIs or building integrations. Trigger with phrases like \"zapier integration helper\", \"zapier helper\", \"zapier\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzapier-integration-helper\u002FSKILL.md",[],[],{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":86,"publishedAt":19},"01M79AHJZGVMARS13VFQYRR1MP","yaml-config-validator","Validate yaml config validator operations. Auto-activating skill for DevOps Basics.\nTriggers on: yaml config validator, yaml config validator\nPart of the DevOps Basics skill category. Use when configuring systems or services. Trigger with phrases like \"yaml config validator\", \"yaml validator\", \"yaml\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fyaml-config-validator\u002FSKILL.md",[],[],{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":91,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":19},"01M79AHGDZRN0020RDQSQDPAM8","xvary-stock-research","Thesis-driven equity analysis from public SEC EDGAR and market data; \u002Fanalyze, \u002Fscore, \u002Fcompare workflows with bundled Python tools (Claude Code, Cursor, Codex).","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fxvary-stock-research\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fxvary-stock-research\u002FSKILL.md",[],[],{"skillNo":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":101,"publishedAt":19},"01M79AHCYJ9FV9RMHQ24HDRN33","xss-vulnerability-scanner","Scan xss vulnerability scanner operations. Auto-activating skill for Security Fundamentals.\nTriggers on: xss vulnerability scanner, xss vulnerability scanner\nPart of the Security Fundamentals skill category. Use when working with xss vulnerability scanner functionality. Trigger with phrases like \"xss vulnerability scanner\", \"xss scanner\", \"xss\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fxss-vulnerability-scanner\u002FSKILL.md",[],[]]