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This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fsupabase-postgres-best-practices\u002FSKILL.md",[479,482],{"categoryNo":480,"categoryName":481,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":28,"categoryName":29,"taxonomyType":11,"taxonomyTypeDesc":12},[484,485,486,487,488,489,490,219,254,491,395,492,493,494,495,496,497,498,442,499,500],"supabase","postgres","postgres best practices","supabase postgres best practices","best practices","search","vector","writing","change","semantic search","tenant","categories","impact","CPU","Code Generation","security","2026",{"skillNo":502,"name":503,"nameZh":18,"description":504,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":505,"categories":506,"keywords":510,"publishedAt":238},"01M6CQA9CQV8ENW5EX8EN0R05C","preset","Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002FSKILL.md",[507],{"categoryNo":508,"categoryName":509,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000011","运维与部署",[503,511,512,513,514,515,516,517,518,519,520,521,522,523,104,524,525,526,527,528,529,530,423,531,125,532,429,533,534],"do","deployment","selection","azure","deployments","use","version","capacity","check","customize","first","azure openai","models","capacity check","location","analyzing","fast","deploy","quick","high availability","automatic","availability","alternatives","custom",{"skillNo":536,"name":520,"nameZh":18,"description":537,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":538,"categories":539,"keywords":540,"publishedAt":238},"01M6CQA6H5BKNZZ09ASPN2C2CG","Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard\u002FStandard\u002FProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize\u002FSKILL.md",[],[520,541,511,542,543,512,544,545,513,514,546,516,547,517,548,549,518,503,522,550,529,551,552,553,554,125,555,556,429],"SET","model","select","choose","policy","quota","configure","model deployment","interactive","options","processing","advanced","filter","flow","throughput","full",{"skillNo":558,"name":518,"nameZh":18,"description":559,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":560,"categories":561,"keywords":562,"publishedAt":238},"01M6CQA35E2SZQSEANGPBCA067","Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcapacity\u002FSKILL.md",[],[518,511,563,542,564,512,489,514,515,546,516,565,519,520,503,522,566,104,528,125,567,568,569,423,570,571,572,573,532,429],"projects","discovery","analysis","find","project","listing","hand","limits","azure portal","direct","TPM",{"skillNo":575,"name":576,"nameZh":18,"description":577,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":578,"categories":579,"keywords":582,"publishedAt":238},"01M6CQ9ZXBZRTVGJ9KWFD9DPVN","deploy-model","Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version\u002FSKU\u002Fcapacity\u002FRAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent\u002Fcreate), project creation (use project\u002Fcreate).","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002FSKILL.md",[580,581],{"categoryNo":508,"categoryName":509,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":247,"categoryName":248,"taxonomyType":58,"taxonomyTypeDesc":59},[542,583,528,541,563,584,455,565,585,522,586,587,125,511,588,564,512,589,545,514,529,590,567,568,423,532],"deploy model","up","create","intent","list","check model","tool","creation",{"skillNo":592,"name":593,"nameZh":18,"description":594,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":595,"categories":596,"keywords":598,"publishedAt":238},"01M6CQ9VM61CV40BVKZBVRS1A5","finetuning","Fine-tune models on Azure AI Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Ffinetuning\u002FSKILL.md",[597],{"categoryNo":247,"categoryName":248,"taxonomyType":58,"taxonomyTypeDesc":59},[593,511,599,542,600,601,512,602,603,514,516,604,605,548,606,607,608,609,523,104,610,590,611,612,613,614,615,616,617,618,429],"azure ai foundry","Optimization","calibrate","training","general","Fine-Tuning","prompt","file","DPO","placeholder","azure ai","Prompt Optimization","dataset","optimizer","Evaluation","tuning","grader","data","supervised","distillation",{"skillNo":620,"name":621,"nameZh":18,"description":622,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":623,"categories":624,"keywords":627,"publishedAt":238},"01M6CQ9JQGD4J0P164XBTSSR1P","microsoft-foundry","Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end with azd: hosted agent scaffold\u002Frun\u002Fdeploy, prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT\u002FDPO\u002FRFT). USE FOR: azd ai agent, azd provision\u002Fdeploy, deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, optimize prompt, improve prompt, optimize agent instructions, agent optimizer, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, AI Services, create Foundry resource, provision, knowledge index, customize deployment, onboard, availability, fine-tune, SFT, DPO, RFT, training-data, grader, distillation, fine-tuned model, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002FSKILL.md",[625,626],{"categoryNo":508,"categoryName":509,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":247,"categoryName":248,"taxonomyType":58,"taxonomyTypeDesc":59},[104,628,629,602,630,631,632,633,634,635,585,636,637,638,567,421,618,511,532,429],"foundry","microsoft foundry","eval","improve","knowledge","monitoring","batch","permissions","run","rbac","app",10658,18]