[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M735CSEAS58DAVNH67CZVGD4":3,"skill-same:01M735CSEAS58DAVNH67CZVGD4":49},{"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":26,"commitSha":27,"skillDirectory":28,"forksCount":29,"repositoryHtmlUrl":30,"repositoryHomepageUrl":31,"ownerHtmlUrl":32,"ownerBlogUrl":33,"ownerDescription":34,"updatedAt":35,"install":36,"resources":48},"01M735CSEAS58DAVNH67CZVGD4","nvidia--cosmos",null,"NVIDIA Cosmos — open platform world models cho Physical AI: robotics, autonomous vehicles. Cosmos3-Nano (16B) + Super (64B). Text\u002Fvideo\u002Faction I\u002FO. Diffusers\u002FvLLM\u002FNIM. OpenMDW-1.1.","Horonomos-laps\u002FYana-AI","Horonomos-laps","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F355299122?v=4","01M76B3QPXE88ET2SQPDPVATZT"," Horonomos-laps","01M72ZQRJPCYPSSWT4D00VJR2A",13,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fnvidia--cosmos\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: nvidia--cosmos\ndescription: \"NVIDIA Cosmos — open platform world models cho Physical AI: robotics, autonomous vehicles. Cosmos3-Nano (16B) + Super (64B). Text\u002Fvideo\u002Faction I\u002FO. Diffusers\u002FvLLM\u002FNIM. OpenMDW-1.1.\"\nallowed-tools: Bash, Read, Write\nuser-invocable: true\n---\n\nNVIDIA Cosmos: world model platform cho Physical AI — robots và autonomous vehicles hiểu + simulate thế giới vật lý thay vì chỉ generate text.\n\n## Models — Cosmos 3\n\n```\nCosmos3-Nano  (16B)  — compact, multimodal understanding + world simulation\nCosmos3-Super (64B)  — frontier-scale, advanced capabilities\n\nSpecialized:\n  Text-to-image variants\n  Image-to-video variants\n  Robot policy models\n```\n\n## 2 Runtime Surfaces\n\n```\nReasoner\n  Input:  text + vision\n  Output: text\n  Uses:   world understanding, physical reasoning, task planning, autonomous decisions\n  → \"Is this grasp stable?\" \u002F \"What happens if I push this box?\"\n\nGenerator\n  Input:  text + vision + sound + actions\n  Output: visual content + audio + action sequences\n  Uses:   simulation, synthetic training data, video generation\n```\n\n## Deployment Options\n\n```bash\n# Diffusers (research\u002Fdev)\npip install diffusers transformers\n# huggingface: nvidia\u002FCosmos3-Nano\n\n# vLLM-Omni (production API)\npip install vllm\nvllm serve nvidia\u002FCosmos3-Nano --task generate\n\n# NIM containers (turnkey)\ndocker run nvcr.io\u002Fnim\u002Fnvidia\u002Fcosmos3-nano:latest\n\n# Cosmos Framework (training + eval)\ngit clone https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fcosmos\npip install -e .\n```\n\n## Key Capabilities\n\n```\nVideo captioning + event detection\nEmbodied reasoning + physical plausibility analysis\nSpatial grounding\nText-to-video + image-to-video generation\nAction-conditioned simulation\nSynthetic training data generation for robotics\n```\n\n## Khi nào dùng\n\n- Research: physical AI, embodied reasoning\n- Generate synthetic training data cho robot models\n- Simulate robot scenarios trước khi deploy hardware\n- Video generation có physics-aware\n\n## Khi KHÔNG dùng\n\n- General chatbot — dùng Claude\n- Text generation — dùng Claude\u002FGPT\n- Requires NVIDIA GPU (A100\u002FH100 recommended cho Super)\n\n## License\n\nOpenMDW-1.1 (custom NVIDIA license, not fully open-source)\n\n## Source\n\nhttps:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fcosmos · OpenMDW-1.1 · +479⭐\u002Fweek\n","NVIDIA Cosmos: world model platform cho Physical AI — robots và autonomous vehicles hiểu + simulate thế giới vật lý thay vì chỉ generate text.\n\n## Models — Cosmos 3\n\n```\nCosmos3-Nano  (16B)  — compact, multimodal understanding + world simulation\nCosmos3-Super (64B)  — frontier-scale, advanced capabilities\n\nSpecialized:\n  Text-to-image variants\n  Image-to-video variants\n  Robot policy models\n```\n\n## 2 Runtime Surfaces\n\n```\nReasoner\n  Input:  text + vision\n  Output: text\n  Uses:   world understanding, physical reasoning, task planning, autonomous decisions\n  → \"Is this grasp stable?\" \u002F \"What happens if I push this box?\"\n\nGenerator\n  Input:  text + vision + sound + actions\n  Output: visual content + audio + action sequences\n  Uses:   simulation, synthetic training data, video generation\n```\n\n## Deployment Options\n\n```bash\n# Diffusers (research\u002Fdev)\npip install diffusers transformers\n# huggingface: nvidia\u002FCosmos3-Nano\n\n# vLLM-Omni (production API)\npip install vllm\nvllm serve nvidia\u002FCosmos3-Nano --task generate\n\n# NIM containers (turnkey)\ndocker run nvcr.io\u002Fnim\u002Fnvidia\u002Fcosmos3-nano:latest\n\n# Cosmos Framework (training + eval)\ngit clone https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fcosmos\npip install -e .\n```\n\n## Key Capabilities\n\n```\nVideo captioning + event detection\nEmbodied reasoning + physical plausibility analysis\nSpatial grounding\nText-to-video + image-to-video generation\nAction-conditioned simulation\nSynthetic training data generation for robotics\n```\n\n## Khi nào dùng\n\n- Research: physical AI, embodied reasoning\n- Generate synthetic training data cho robot models\n- Simulate robot scenarios trước khi deploy hardware\n- Video generation có physics-aware\n\n## Khi KHÔNG dùng\n\n- General chatbot — dùng Claude\n- Text generation — dùng Claude\u002FGPT\n- Requires NVIDIA GPU (A100\u002FH100 recommended cho Super)\n\n## License\n\nOpenMDW-1.1 (custom NVIDIA license, not fully open-source)\n\n## Source\n\nhttps:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fcosmos · OpenMDW-1.1 · +479⭐\u002Fweek\n",{"name":5,"description":7,"allowed-tools":24,"user-invocable":25},"Bash, Read, Write",true,"main","481dcd7dd2e288b9d627a2bd017db70e64e6c6fa",".claude\u002Fskills\u002Fnvidia--cosmos",2,"https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI","https:\u002F\u002Fyana.vutam.link\u002F","https:\u002F\u002Fgithub.com\u002FHoronomos-laps","https:\u002F\u002Fyana.vutam.link","An open-source governed runtime & execution environment for multi-agent AI systems.","2026-11-14 13:24:09",{"source":8,"skillName":5,"commands":37,"prompt":47,"zipAvailable":25},[38,41,44],{"tool":39,"command":40},"npx","npx skills add Horonomos-laps\u002FYana-AI 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Use for read-only basket comparison and gap analysis without investment advice or live trading.","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fito-basket-compare\u002FSKILL.md",[],[],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":69,"sourceHtmlUrl":70,"categories":71,"keywords":72,"publishedAt":19},"01M734CYEMZFDR3KH6SW0JP8TD","implementing-network-traffic-baselining","Build network traffic baselines from NetFlow\u002FIPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly\u002Fdaily traffic pattern profiling","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\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":77,"sourceHtmlUrl":78,"categories":79,"keywords":80,"publishedAt":19},"01M73ASZ6NJRJM44Z2P84NGQ3Q","detecting-evasion-techniques-in-endpoint-logs","Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FSKILL.md",[],[],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":85,"sourceHtmlUrl":86,"categories":87,"keywords":88,"publishedAt":19},"01M734AFNXD06Z78QRK0VKGT7Q","implementing-microsegmentation-with-guardicore","Implementing microsegmentation using Akamai Guardicore Segmentation to map application dependencies, create granular network policies, visualize east-west traffic flows, and enforce least-privilege communication between workloads across data centers and cloud.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FSKILL.md",[],[],{"skillNo":90,"name":91,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":19},"01M736TK27QMCXK0DVCH25SJN5","ramdisk-tmpfs-patterns","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Framdisk-tmpfs-patterns\u002FSKILL.md",[],[]]