[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6GDFG12BAW6N0RBB3D2NJB8":3,"skill-same:01M6GDFG12BAW6N0RBB3D2NJB8":72},{"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":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":47,"repositoryHtmlUrl":48,"repositoryHomepageUrl":48,"ownerHtmlUrl":49,"ownerBlogUrl":6,"ownerDescription":50,"updatedAt":51,"install":52,"resources":65},"01M6GDFG12BAW6N0RBB3D2NJB8","vector-index-tuning",null,"Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.","Sam-06060\u002Fjarvis-assistant","Sam-06060","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F208600848?v=4","01M6CRKT7C7FXD21V6HXF293S0","Samson Frank Ganta","01M6CRKTBEKYFD8YX5Z1GT99EE",6,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fvector-index-tuning\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"index","vector","vector index tuning","tuning","Quantization","safe","latency","scaling","strategies","optimize","community","use","recall","HNSW","Vector Search","search","infrastructure","performance","memory","2026-11-10 10:12:30",false,"---\nname: vector-index-tuning\ndescription: \"Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.\"\nrisk: safe\nsource: community\ndate_added: \"2026-02-27\"\n---\n\n# Vector Index Tuning\n\nGuide to optimizing vector indexes for production performance.\n\n## Use this skill when\n\n- Tuning HNSW parameters\n- Implementing quantization\n- Optimizing memory usage\n- Reducing search latency\n- Balancing recall vs speed\n- Scaling to billions of vectors\n\n## Do not use this skill when\n\n- You only need exact search on small datasets (use a flat index)\n- You lack workload metrics or ground truth to validate recall\n- You need end-to-end retrieval system design beyond index tuning\n\n## Instructions\n\n1. Gather workload targets (latency, recall, QPS), data size, and memory budget.\n2. Choose an index type and establish a baseline with default parameters.\n3. Benchmark parameter sweeps using real queries and track recall, latency, and memory.\n4. Validate changes on a staging dataset before rolling out to production.\n\nRefer to `resources\u002Fimplementation-playbook.md` for detailed patterns, checklists, and templates.\n\n## Safety\n\n- Avoid reindexing in production without a rollback plan.\n- Validate changes under realistic load before applying globally.\n- Track recall regressions and revert if quality drops.\n\n## Resources\n\n- `resources\u002Fimplementation-playbook.md` for detailed patterns, checklists, and templates.\n","# Vector Index Tuning\n\nGuide to optimizing vector indexes for production performance.\n\n## Use this skill when\n\n- Tuning HNSW parameters\n- Implementing quantization\n- Optimizing memory usage\n- Reducing search latency\n- Balancing recall vs speed\n- Scaling to billions of vectors\n\n## Do not use this skill when\n\n- You only need exact search on small datasets (use a flat index)\n- You lack workload metrics or ground truth to validate recall\n- You need end-to-end retrieval system design beyond index tuning\n\n## Instructions\n\n1. Gather workload targets (latency, recall, QPS), data size, and memory budget.\n2. Choose an index type and establish a baseline with default parameters.\n3. Benchmark parameter sweeps using real queries and track recall, latency, and memory.\n4. Validate changes on a staging dataset before rolling out to production.\n\nRefer to `resources\u002Fimplementation-playbook.md` for detailed patterns, checklists, and templates.\n\n## Safety\n\n- Avoid reindexing in production without a rollback plan.\n- Validate changes under realistic load before applying globally.\n- Track recall regressions and revert if quality drops.\n\n## Resources\n\n- `resources\u002Fimplementation-playbook.md` for detailed patterns, checklists, and templates.\n",{"name":5,"risk":24,"source":29,"date_added":43,"description":7},"2026-02-27","main","a50a3aa6b39fb0e1b7db88bef1bfc9c93606e126","modules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fvector-index-tuning",0,"https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant","https:\u002F\u002Fgithub.com\u002FSam-06060","Mobile Application Developer | Kotlin | Flutter, KMP, Swfit, Android,Swift UI | Building at Saar It Resources | Creator of Jarvis (AI Assistant)","2026-06-23 05:13:38",{"source":8,"skillName":5,"commands":53,"prompt":63,"zipAvailable":64},[54,57,60],{"tool":55,"command":56},"npx","npx skills add Sam-06060\u002Fjarvis-assistant --skill vector-index-tuning",{"tool":58,"command":59},"bunx","bunx skills add Sam-06060\u002Fjarvis-assistant --skill vector-index-tuning",{"tool":61,"command":62},"pnpm","pnpm dlx skills add Sam-06060\u002Fjarvis-assistant --skill vector-index-tuning","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fvector-index-tuning\u002FSKILL.md",true,[66],{"path":67,"resourceType":68,"resourceTypeDesc":69,"sizeBytes":70,"sourceHtmlUrl":71},"resources\u002Fimplementation-playbook.md","REFERENCE","参考文档",14903,"https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fvector-index-tuning\u002Fresources\u002Fimplementation-playbook.md",[73,86,102,128,147,173],{"skillNo":74,"name":75,"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":76,"categories":77,"keywords":83,"publishedAt":38},"01M6GDRVS6FXX3ESH0C9DW01C0","test_skill","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fscratch\u002Ftest_skill\u002FSKILL.md",[78],{"categoryNo":79,"categoryName":80,"taxonomyType":81,"taxonomyTypeDesc":82},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",[84,85],"Test Skill","test",{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":38},"01M6GDRQ40HX22MA6XWC31RHHK","zustand-store-ts","Create Zustand stores following established patterns with proper TypeScript types and middleware.","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzustand-store-ts\u002FSKILL.md",[],[93,94,95,96,97,98,99,29,100,101],"zustand store ts","zustand","store","with","types","middleware","patterns","create","typescript",{"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":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":111,"publishedAt":38},"01M6GDRKEA0WE670SPFWX5GKCN","zoom-automation","Automate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzoom-automation\u002FSKILL.md",[108],{"categoryNo":109,"categoryName":110,"taxonomyType":81,"taxonomyTypeDesc":82},"01JBSEEDCAT000000000000023","Skill与智能体开发",[112,113,114,115,116,34,117,118,119,120,121,122,123,124,29,125,126,127],"automation","zoom automation","zoom","first","Tools","MCP","via","meeting","automate","critical","creation","webinars","composio","recordings","management","tracking",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":132,"categories":133,"keywords":135,"publishedAt":38},"01M6GDRFS1452PC71JQ38S24HR","zoho-crm-automation","Automate Zoho CRM tasks via Rube MCP (Composio): create\u002Fupdate records, search contacts, manage leads, and convert leads. Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzoho-crm-automation\u002FSKILL.md",[134],{"categoryNo":109,"categoryName":110,"taxonomyType":81,"taxonomyTypeDesc":82},[136,112,137,138,139,140,141,29,34,142,124,143,121,120,116,144,100,145,117,146],"crm automation","zoho crm","crm","zoho crm automation","zoho","leads","contacts","records","update","tasks","manage",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":156,"publishedAt":38},"01M6GDRCKQBAVTGHX5XBH26KPZ","zod-validation-expert","Expert in Zod — TypeScript-first schema validation. Covers parsing, custom errors, refinements, type inference, and integration with React Hook Form, Next.js, and tRPC.","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzod-validation-expert\u002FSKILL.md",[153],{"categoryNo":154,"categoryName":155,"taxonomyType":81,"taxonomyTypeDesc":82},"01JBSEEDCAT000000000000009","前端开发",[157,158,159,160,161,101,24,162,163,164,165,166,96,167,168,169,170,29,171,172],"expert","zod","zod validation expert","validation","react","parsing","errors","schema validation","react hook form","hook","trpc","form","type","next","schema","Next.js",{"skillNo":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":180,"publishedAt":38},"01M6GDR658B08K4MY0RWD4A6EH","zeroize-audit","Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C\u002FC++\u002FRust code handling secrets, keys, passwords, or other sensitive data.","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzeroize-audit\u002FSKILL.md",[179],{"categoryNo":109,"categoryName":110,"taxonomyType":81,"taxonomyTypeDesc":82},[181,182,183,184,185,186,187,188,29,189,190,191,192,193,194,195,196,197,198,117],"zeroize audit","audit","write","passwords","get","project","c++","activate","assembly","read","Bash","secrets","analysis","data","flow","verification","code","rust"]