[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M73FSZ0RWH5AXWQMQ1SX9E7E":3,"skill-same:01M73FSZ0RWH5AXWQMQ1SX9E7E":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},"01M73FSZ0RWH5AXWQMQ1SX9E7E","shubhamsaboo--awesome-llm-apps",null,"100+ AI Agent & RAG app templates sẵn sàng chạy — 14 categories: starter agents, multi-agent teams, voice AI, MCP agents, RAG, memory, fine-tuning. Apache-2.0.","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\u002Fcore\u002Fskills\u002Fshubhamsaboo--awesome-llm-apps\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: shubhamsaboo--awesome-llm-apps\ndescription: \"100+ AI Agent & RAG app templates sẵn sàng chạy — 14 categories: starter agents, multi-agent teams, voice AI, MCP agents, RAG, memory, fine-tuning. Apache-2.0.\"\nallowed-tools: Read\nuser-invocable: true\n---\n\nAwesome LLM Apps: 100+ ready-to-run templates — mỗi app là single-file hoặc small project, chỉ cần API key là chạy được.\n\n## 14 Categories\n\n```\nStarter AI Agents     — single-file, chỉ cần API key\nAdvanced AI Agents    — tools + memory + reasoning\nMulti-agent Teams     — agents collaborate on complex tasks\nVoice AI Agents       — speech-in, speech-out\nGenerative UI         — agents render interactive components\nGame-Playing Agents   — autonomous game strategy\nMCP AI Agents         — agents via Model Context Protocol\nRAG                   — retrieval-augmented generation pipelines\nAgent Skills          — reusable skill modules\nMemory Systems        — conversation persistence\nChat Interfaces       — data sources → conversational\nOptimization Tools    — token\u002Fcontext reduction\nFine-tuning           — training recipes for open-source models\nFramework Courses     — Google ADK, OpenAI Agents SDK deep dives\n```\n\n## LLM Provider Support\n\nClaude, Gemini, OpenAI, xAI, Llama, Qwen — multi-provider templates.\n\n## Khi nào dùng\n\n- Cần prototype nhanh một loại agent mới\n- Tìm reference implementation cho pattern cụ thể (RAG, memory, voice...)\n- Muốn xem \"người khác build app loại này như thế nào\"\n- Starting point để customize cho yamtam use case\n\n## Source\n\nhttps:\u002F\u002Fgithub.com\u002FShubhamsaboo\u002Fawesome-llm-apps · Apache-2.0 · +206⭐\u002Fday\n","Awesome LLM Apps: 100+ ready-to-run templates — mỗi app là single-file hoặc small project, chỉ cần API key là chạy được.\n\n## 14 Categories\n\n```\nStarter AI Agents     — single-file, chỉ cần API key\nAdvanced AI Agents    — tools + memory + reasoning\nMulti-agent Teams     — agents collaborate on complex tasks\nVoice AI Agents       — speech-in, speech-out\nGenerative UI         — agents render interactive components\nGame-Playing Agents   — autonomous game strategy\nMCP AI Agents         — agents via Model Context Protocol\nRAG                   — retrieval-augmented generation pipelines\nAgent Skills          — reusable skill modules\nMemory Systems        — conversation persistence\nChat Interfaces       — data sources → conversational\nOptimization Tools    — token\u002Fcontext reduction\nFine-tuning           — training recipes for open-source models\nFramework Courses     — Google ADK, OpenAI Agents SDK deep dives\n```\n\n## LLM Provider Support\n\nClaude, Gemini, OpenAI, xAI, Llama, Qwen — multi-provider templates.\n\n## Khi nào dùng\n\n- Cần prototype nhanh một loại agent mới\n- Tìm reference implementation cho pattern cụ thể (RAG, memory, voice...)\n- Muốn xem \"người khác build app loại này như thế nào\"\n- Starting point để customize cho yamtam use case\n\n## Source\n\nhttps:\u002F\u002Fgithub.com\u002FShubhamsaboo\u002Fawesome-llm-apps · Apache-2.0 · +206⭐\u002Fday\n",{"name":5,"description":7,"allowed-tools":24,"user-invocable":25},"Read",true,"main","481dcd7dd2e288b9d627a2bd017db70e64e6c6fa","core\u002Fskills\u002Fshubhamsaboo--awesome-llm-apps",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.","2026-11-13 13:15:29",{"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 --skill shubhamsaboo--awesome-llm-apps",{"tool":42,"command":43},"bunx","bunx skills add Horonomos-laps\u002FYana-AI --skill shubhamsaboo--awesome-llm-apps",{"tool":45,"command":46},"pnpm","pnpm dlx skills add Horonomos-laps\u002FYana-AI --skill shubhamsaboo--awesome-llm-apps","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fshubhamsaboo--awesome-llm-apps\u002FSKILL.md",[],[50,58,65,73,81,89],{"skillNo":51,"name":52,"nameZh":6,"description":53,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":54,"licenseFileUrl":6,"sourceHtmlUrl":55,"categories":56,"keywords":57,"publishedAt":19},"01M735GKET5YVYKAY62W2P5YXB","openai--sentry--sentry","Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.","MIT","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fopenai--sentry--sentry\u002FSKILL.md",[],[],{"skillNo":59,"name":60,"nameZh":6,"description":61,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":62,"categories":63,"keywords":64,"publishedAt":19},"01M73DCAP83T17HY7SMGK7MGFE","ito-basket-compare","Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. 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",[],[]]