[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6PP7VRKGYCV5MM3VASQMCAK":3,"skill-same:01M6PP7VRKGYCV5MM3VASQMCAK":101},{"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":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":14,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":55,"ownerDescription":6,"updatedAt":56,"install":57,"resources":70},"01M6PP7VRKGYCV5MM3VASQMCAK","dynamo-router-starter",null,"Start or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.","headmktlucca-ui\u002Fneuroads-lp","headmktlucca-ui","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F247379838?v=4","01M6PDVAV6M1W96D1SR1PDF8CS","NeuroAds","01M6PDVAZ4P281GNDKD45CYTF5",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdynamo-router-starter\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"starter","dynamo router starter","router","smoke","modes","for","bring","recipe","diagnosis","runner","patch","up","troubleshoot","use","NVIDIA","start","routing","run","deployment","test","2026-11-10 10:12:30",false,"---\nname: dynamo-router-starter\ndescription: Start or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.\nlicense: Apache-2.0\nmetadata:\n  author: Dan Gil \u003Cdagil@nvidia.com>\n  tags:\n    - dynamo\n    - router\n    - smoke-test\n    - bring-up\n---\n\n# Dynamo Router Starter\n\n\u003C!--\nSPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.\nSPDX-License-Identifier: CC-BY-4.0\n-->\n\n## Purpose\n\nMake Dynamo routing feel easy by getting a baseline router mode running, enabling\nKV-aware routing when appropriate, and proving the endpoint works. Keep the user\nfocused on exact commands and success signals, not router internals.\n\n## Prerequisites\n\n- Python 3.10+ with the `dynamo` package importable (`python3 -m dynamo.frontend --help` works).\n- For Kubernetes runs: `kubectl` configured with access to the target namespace and a deployed Dynamo recipe.\n- Network reachability to the frontend service (port-forward or direct).\n- A model already loaded into at least one worker (`\u002Fv1\u002Fmodels` returns at least one entry).\n\n## Required Inputs\n\nCollect or infer:\n\n- local Python\u002FCLI or Kubernetes recipe path\n- desired mode: `round-robin`, `kv`, `least-loaded`, `device-aware-weighted`, `direct`, or `random`\n- frontend port or Kubernetes frontend service\n- whether workers publish KV events; if not, use approximate KV mode\n- model name for smoke requests, if `\u002Fv1\u002Fmodels` cannot discover it\n\n## Instructions\n\n### 1. Establish A Baseline\n\nFor local bring-up with already registered workers:\n\n```bash\npython3 -m dynamo.frontend --router-mode round-robin --http-port 8000\n```\n\nFor Kubernetes, inspect the selected recipe `deploy.yaml` and locate the\nfrontend service. If the recipe is not already deployed, use\n`dynamo-recipe-runner` first.\n\n### 2. Enable KV Routing\n\nFor local frontend:\n\n```bash\npython3 -m dynamo.frontend --router-mode kv --http-port 8000\n```\n\nFor Kubernetes, patch only the frontend service env:\n\n```yaml\nenvs:\n  - name: DYN_ROUTER_MODE\n    value: kv\n```\n\nIf backend workers are not publishing KV cache events, set approximate mode\ninstead of leaving the router waiting for events:\n\n```yaml\nenvs:\n  - name: DYN_ROUTER_USE_KV_EVENTS\n    value: \"false\"\n```\n\n### 3. Smoke Test\n\nAfter port-forwarding the frontend service or starting local frontend, run:\n\n```bash\npython3 scripts\u002Fcheck_router_health.py \\\n  --base-url http:\u002F\u002F127.0.0.1:8000\n```\n\nThis must verify `\u002Fv1\u002Fmodels` and, when a model is discoverable, one\n`\u002Fv1\u002Fchat\u002Fcompletions` request.\n\n### 4. Compare Modes Carefully\n\nWhen comparing round-robin vs KV routing:\n\n- use the same model, workers, prompt set, concurrency, and sampling settings\n- send repeated-prefix prompts if demonstrating KV reuse\n- label the result as a smoke comparison unless enough benchmark samples were collected\n- do not claim throughput improvement from a single chat request\n\nIf the endpoint is unhealthy or workers are missing, switch to\n`dynamo-troubleshoot`.\n\n## Available Scripts\n\n| Script | Purpose | Arguments |\n|---|---|---|\n| `scripts\u002Fcheck_router_health.py` | Smoke-test `\u002Fv1\u002Fmodels` and one chat completion against a Dynamo frontend | `--base-url`, `--retries`, `--timeout` |\n\nInvoke via the agentskills.io `run_script()` protocol:\n\n```python\nrun_script(\"scripts\u002Fcheck_router_health.py\", args=[\"--base-url\", \"http:\u002F\u002F127.0.0.1:8000\"])\n```\n\n## Examples\n\nLocal KV-routed frontend on port 8000, then smoke-test it:\n\n```bash\npython3 -m dynamo.frontend --router-mode kv --http-port 8000 &\npython3 scripts\u002Fcheck_router_health.py --base-url http:\u002F\u002F127.0.0.1:8000\n```\n\nKubernetes-deployed frontend reachable via port-forward:\n\n```bash\nkubectl port-forward svc\u002Fqwen-vllm-disagg-frontend 8000:8000 -n dynamo-demo &\npython3 scripts\u002Fcheck_router_health.py --base-url http:\u002F\u002F127.0.0.1:8000 --retries 3\n```\n\nEquivalent through the agent protocol:\n\n```python\nrun_script(\"scripts\u002Fcheck_router_health.py\", args=[\"--base-url\", \"http:\u002F\u002F127.0.0.1:8000\", \"--retries\", \"3\"])\n```\n\n## Output Contract\n\nReturn:\n\n- mode selected and why\n- local command or Kubernetes env patch\n- frontend service or URL\n- smoke-test result\n- any limitation, such as approximate KV mode or missing worker KV events\n- next command to run for a fuller comparison\n\n## Limitations\n\n- Smoke test is one chat completion; it is not a benchmark. Use `dynamo-benchmark` for throughput\u002Flatency numbers.\n- KV-aware mode without worker KV-event publication degrades to approximate mode; this skill flags but does not fix the underlying worker config.\n- Mode comparisons require matched workloads; cross-mode latency claims need separate benchmark runs.\n\n## Troubleshooting\n\n| Symptom | Likely cause | Next step |\n|---|---|---|\n| `\u002Fv1\u002Fmodels` returns empty list | No worker registered with the frontend | Verify worker pods are Ready; confirm they connect to the same etcd\u002FNATS |\n| Smoke chat request times out | Frontend up, workers not serving | Switch to `dynamo-troubleshoot`; inspect worker logs |\n| KV mode hangs | Workers do not publish KV cache events | Set `DYN_ROUTER_USE_KV_EVENTS=false` (approximate mode) |\n| Connection refused on port-forward | Port-forward dropped or wrong service name | Re-run port-forward; verify the frontend service name matches the recipe |\n\n## Benchmark\n\nSee `BENCHMARK.md` for the NVCARPS-EVAL performance report (auto-generated by the NVSkills CI pipeline). To refresh, re-run `\u002Fnvskills-ci` on an upstream PR touching this skill.\n\n## References\n\n- Read `references\u002Frouter-modes.md` for the compact mode\u002Fenv map.\n- Use `scripts\u002Fcheck_router_health.py` for endpoint smoke tests.\n","# Dynamo Router Starter\n\n\u003C!--\nSPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.\nSPDX-License-Identifier: CC-BY-4.0\n-->\n\n## Purpose\n\nMake Dynamo routing feel easy by getting a baseline router mode running, enabling\nKV-aware routing when appropriate, and proving the endpoint works. Keep the user\nfocused on exact commands and success signals, not router internals.\n\n## Prerequisites\n\n- Python 3.10+ with the `dynamo` package importable (`python3 -m dynamo.frontend --help` works).\n- For Kubernetes runs: `kubectl` configured with access to the target namespace and a deployed Dynamo recipe.\n- Network reachability to the frontend service (port-forward or direct).\n- A model already loaded into at least one worker (`\u002Fv1\u002Fmodels` returns at least one entry).\n\n## Required Inputs\n\nCollect or infer:\n\n- local Python\u002FCLI or Kubernetes recipe path\n- desired mode: `round-robin`, `kv`, `least-loaded`, `device-aware-weighted`, `direct`, or `random`\n- frontend port or Kubernetes frontend service\n- whether workers publish KV events; if not, use approximate KV mode\n- model name for smoke requests, if `\u002Fv1\u002Fmodels` cannot discover it\n\n## Instructions\n\n### 1. Establish A Baseline\n\nFor local bring-up with already registered workers:\n\n```bash\npython3 -m dynamo.frontend --router-mode round-robin --http-port 8000\n```\n\nFor Kubernetes, inspect the selected recipe `deploy.yaml` and locate the\nfrontend service. If the recipe is not already deployed, use\n`dynamo-recipe-runner` first.\n\n### 2. Enable KV Routing\n\nFor local frontend:\n\n```bash\npython3 -m dynamo.frontend --router-mode kv --http-port 8000\n```\n\nFor Kubernetes, patch only the frontend service env:\n\n```yaml\nenvs:\n  - name: DYN_ROUTER_MODE\n    value: kv\n```\n\nIf backend workers are not publishing KV cache events, set approximate mode\ninstead of leaving the router waiting for events:\n\n```yaml\nenvs:\n  - name: DYN_ROUTER_USE_KV_EVENTS\n    value: \"false\"\n```\n\n### 3. Smoke Test\n\nAfter port-forwarding the frontend service or starting local frontend, run:\n\n```bash\npython3 scripts\u002Fcheck_router_health.py \\\n  --base-url http:\u002F\u002F127.0.0.1:8000\n```\n\nThis must verify `\u002Fv1\u002Fmodels` and, when a model is discoverable, one\n`\u002Fv1\u002Fchat\u002Fcompletions` request.\n\n### 4. Compare Modes Carefully\n\nWhen comparing round-robin vs KV routing:\n\n- use the same model, workers, prompt set, concurrency, and sampling settings\n- send repeated-prefix prompts if demonstrating KV reuse\n- label the result as a smoke comparison unless enough benchmark samples were collected\n- do not claim throughput improvement from a single chat request\n\nIf the endpoint is unhealthy or workers are missing, switch to\n`dynamo-troubleshoot`.\n\n## Available Scripts\n\n| Script | Purpose | Arguments |\n|---|---|---|\n| `scripts\u002Fcheck_router_health.py` | Smoke-test `\u002Fv1\u002Fmodels` and one chat completion against a Dynamo frontend | `--base-url`, `--retries`, `--timeout` |\n\nInvoke via the agentskills.io `run_script()` protocol:\n\n```python\nrun_script(\"scripts\u002Fcheck_router_health.py\", args=[\"--base-url\", \"http:\u002F\u002F127.0.0.1:8000\"])\n```\n\n## Examples\n\nLocal KV-routed frontend on port 8000, then smoke-test it:\n\n```bash\npython3 -m dynamo.frontend --router-mode kv --http-port 8000 &\npython3 scripts\u002Fcheck_router_health.py --base-url http:\u002F\u002F127.0.0.1:8000\n```\n\nKubernetes-deployed frontend reachable via port-forward:\n\n```bash\nkubectl port-forward svc\u002Fqwen-vllm-disagg-frontend 8000:8000 -n dynamo-demo &\npython3 scripts\u002Fcheck_router_health.py --base-url http:\u002F\u002F127.0.0.1:8000 --retries 3\n```\n\nEquivalent through the agent protocol:\n\n```python\nrun_script(\"scripts\u002Fcheck_router_health.py\", args=[\"--base-url\", \"http:\u002F\u002F127.0.0.1:8000\", \"--retries\", \"3\"])\n```\n\n## Output Contract\n\nReturn:\n\n- mode selected and why\n- local command or Kubernetes env patch\n- frontend service or URL\n- smoke-test result\n- any limitation, such as approximate KV mode or missing worker KV events\n- next command to run for a fuller comparison\n\n## Limitations\n\n- Smoke test is one chat completion; it is not a benchmark. Use `dynamo-benchmark` for throughput\u002Flatency numbers.\n- KV-aware mode without worker KV-event publication degrades to approximate mode; this skill flags but does not fix the underlying worker config.\n- Mode comparisons require matched workloads; cross-mode latency claims need separate benchmark runs.\n\n## Troubleshooting\n\n| Symptom | Likely cause | Next step |\n|---|---|---|\n| `\u002Fv1\u002Fmodels` returns empty list | No worker registered with the frontend | Verify worker pods are Ready; confirm they connect to the same etcd\u002FNATS |\n| Smoke chat request times out | Frontend up, workers not serving | Switch to `dynamo-troubleshoot`; inspect worker logs |\n| KV mode hangs | Workers do not publish KV cache events | Set `DYN_ROUTER_USE_KV_EVENTS=false` (approximate mode) |\n| Connection refused on port-forward | Port-forward dropped or wrong service name | Re-run port-forward; verify the frontend service name matches the recipe |\n\n## Benchmark\n\nSee `BENCHMARK.md` for the NVCARPS-EVAL performance report (auto-generated by the NVSkills CI pipeline). To refresh, re-run `\u002Fnvskills-ci` on an upstream PR touching this skill.\n\n## References\n\n- Read `references\u002Frouter-modes.md` for the compact mode\u002Fenv map.\n- Use `scripts\u002Fcheck_router_health.py` for endpoint smoke tests.\n",{"name":5,"license":15,"metadata":44,"description":7},{"tags":45,"author":49},[46,21,47,48],"dynamo","smoke-test","bring-up","Dan Gil \u003Cdagil@nvidia.com>","main","7a940b8e5af16c95e5c190a524421d32fc7445a9",".claude\u002Fskills\u002Fdynamo-router-starter","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui","https:\u002F\u002Fneuroads.com.br","2026-08-12 00:42:44",{"source":8,"skillName":5,"commands":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add headmktlucca-ui\u002Fneuroads-lp --skill dynamo-router-starter",{"tool":63,"command":64},"bunx","bunx skills add headmktlucca-ui\u002Fneuroads-lp --skill dynamo-router-starter",{"tool":66,"command":67},"pnpm","pnpm dlx skills add headmktlucca-ui\u002Fneuroads-lp --skill dynamo-router-starter","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdynamo-router-starter\u002FSKILL.md",true,[71,77,81,85,91,95],{"path":72,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":75,"sourceHtmlUrl":76},"BENCHMARK.md","REFERENCE","参考文档",2708,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdynamo-router-starter\u002FBENCHMARK.md",{"path":78,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":79,"sourceHtmlUrl":80},"evals\u002Fevals.json",3115,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdynamo-router-starter\u002Fevals\u002Fevals.json",{"path":82,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":83,"sourceHtmlUrl":84},"references\u002Frouter-modes.md",2132,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdynamo-router-starter\u002Freferences\u002Frouter-modes.md",{"path":86,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":89,"sourceHtmlUrl":90},"scripts\u002Fcheck_router_health.py","SCRIPT","脚本",4860,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdynamo-router-starter\u002Fscripts\u002Fcheck_router_health.py",{"path":92,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":93,"sourceHtmlUrl":94},"skill-card.md",2414,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdynamo-router-starter\u002Fskill-card.md",{"path":96,"resourceType":97,"resourceTypeDesc":98,"sizeBytes":99,"sourceHtmlUrl":100},"skill.oms.sig","OTHER","其他",5077,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdynamo-router-starter\u002Fskill.oms.sig",[102,128,151,177,195,230],{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":106,"licenseFileUrl":6,"sourceHtmlUrl":107,"categories":108,"keywords":117,"publishedAt":39},"01M6PTDCZTXTGSTX4RFK901YSZ","xunit-skill","Generates xUnit.net tests in C#. 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