[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"org-azure":3,"repo-skills-v-0-3-0":379},{"org":4,"repos":57},{"slug":5,"name":6,"logoUrl":7,"githubOrg":8,"website":9,"skillCount":10,"repoCount":11,"topRepos":12,"topTags":27,"lastUpdatedAt":56},"azure","Azure (Microsoft)","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fazure.png","Azure","https:\u002F\u002Fazure.microsoft.com",109,16,[13,16,19,22,25],{"name":14,"skillCount":15},"Azure\u002Fvscode-aks-tools",19,{"name":17,"skillCount":18},"Azure\u002Fdocumentdb-agent-kit",17,{"name":20,"skillCount":21},"Azure\u002Flogicapps-migration-agent",12,{"name":23,"skillCount":24},"Azure\u002Fazure-functions-skills",11,{"name":26,"skillCount":24},"Azure\u002Fkars",[28,29,32,35,38,41,44,47,50,53],{"slug":5,"name":8},{"slug":30,"name":31},"deployment","Deployment",{"slug":33,"name":34},"database","Database",{"slug":36,"name":37},"agents","Agents",{"slug":39,"name":40},"monitoring","Monitoring",{"slug":42,"name":43},"observability","Observability",{"slug":45,"name":46},"api-development","API Development",{"slug":48,"name":49},"security","Security",{"slug":51,"name":52},"debugging","Debugging",{"slug":54,"name":55},"kubernetes","Kubernetes","2026-08-01T05:42:33.42955",[58,76,99,122,141,181,204,223,243,261,282,301,316,332,348,366],{"name":59,"fullName":14,"repoUrl":60,"skillCount":15,"stars":61,"forks":62,"description":63,"topics":64,"topTags":65,"topTagCount":74,"lastUpdatedAt":75},"vscode-aks-tools","https:\u002F\u002Fgithub.com\u002FAzure\u002Fvscode-aks-tools",65,74,"Visual Studio Code extension for Azure Kubernetes Service",[],[66,67,68,69,72,73],{"slug":5,"name":8},{"slug":30,"name":31},{"slug":54,"name":55},{"slug":70,"name":71},"engineering","Engineering",{"slug":48,"name":49},{"slug":36,"name":37},30,"2026-07-12T08:18:14.742979",{"name":77,"fullName":17,"repoUrl":78,"skillCount":18,"stars":79,"forks":80,"description":81,"topics":82,"topTags":83,"topTagCount":98,"lastUpdatedAt":56},"documentdb-agent-kit","https:\u002F\u002Fgithub.com\u002FAzure\u002Fdocumentdb-agent-kit",5,7,"Agent Skills pack for Azure DocumentDB (MongoDB compatibility) - vector search, full-text search, query optimization, connection tuning, local deployment, security, HA, and MCP setup.",[],[84,85,86,89,92,95],{"slug":5,"name":8},{"slug":33,"name":34},{"slug":87,"name":88},"performance","Performance",{"slug":90,"name":91},"mongodb","MongoDB",{"slug":93,"name":94},"cosmos-db","Cosmos DB",{"slug":96,"name":97},"data-modeling","Data Modeling",27,{"name":100,"fullName":20,"repoUrl":101,"skillCount":21,"stars":102,"forks":80,"description":103,"topics":104,"topTags":105,"topTagCount":120,"lastUpdatedAt":121},"logicapps-migration-agent","https:\u002F\u002Fgithub.com\u002FAzure\u002Flogicapps-migration-agent",6,"VS Code Extension for migrating BizTalk, MuleSoft, and other integration platforms to Azure Logic Apps Standard",[],[106,107,110,113,116,119],{"slug":5,"name":8},{"slug":108,"name":109},"migration","Migration",{"slug":111,"name":112},"architecture","Architecture",{"slug":114,"name":115},"automation","Automation",{"slug":117,"name":118},"workflow-automation","Workflow Automation",{"slug":45,"name":46},18,"2026-07-12T08:20:28.730402",{"name":123,"fullName":23,"repoUrl":124,"skillCount":24,"stars":21,"forks":125,"description":126,"topics":127,"topTags":128,"topTagCount":139,"lastUpdatedAt":140},"azure-functions-skills","https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-functions-skills",1,"A repository for Azure Functions skills, prompts, and reusable definitions to support agentic development and operational workflows.",[],[129,130,133,134,135,138],{"slug":5,"name":8},{"slug":131,"name":132},"configuration","Configuration",{"slug":51,"name":52},{"slug":30,"name":31},{"slug":136,"name":137},"documentation","Documentation",{"slug":39,"name":40},20,"2026-07-15T06:02:48.801578",{"name":142,"fullName":26,"repoUrl":143,"skillCount":24,"stars":144,"forks":145,"description":146,"topics":147,"topTags":164,"topTagCount":179,"lastUpdatedAt":180},"kars","https:\u002F\u002Fgithub.com\u002FAzure\u002Fkars",28,2,"Agent Reference Stack for Kubernetes (kars) - an open source stack from Microsoft for running AI agents safely on Kubernetes. Multi-runtime, Foundry-aware, hardened per-agent sandboxes, governed egress, end-to-end encrypted inter-agent mesh.",[148,149,150,151,152,153,154,155,156,54,157,158,159,160,161,162,163],"agent","agentic-framework","agentmesh","ai-agent","ai-agents-automation","ai-sandbox","end-to-end-encryption","hermes","hermes-agent","kubernetes-sandbox","microsoft","openclaw","reference","runtime-security","sandbox","zero-trust",[165,166,167,170,173,176],{"slug":5,"name":8},{"slug":36,"name":37},{"slug":168,"name":169},"llm","LLM",{"slug":171,"name":172},"memory","Memory",{"slug":174,"name":175},"research","Research",{"slug":177,"name":178},"search","Search",24,"2026-07-12T08:18:40.889909",{"name":182,"fullName":183,"repoUrl":184,"skillCount":185,"stars":186,"forks":187,"description":188,"topics":189,"topTags":190,"topTagCount":120,"lastUpdatedAt":203},"azure-sdk-tools","Azure\u002Fazure-sdk-tools","https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-sdk-tools",10,133,248,"Tools repository leveraged by the Azure SDK team.",[],[191,192,195,198,201,202],{"slug":5,"name":8},{"slug":193,"name":194},"sdk","SDK",{"slug":196,"name":197},"technical-writing","Technical Writing",{"slug":199,"name":200},"ci-cd","CI\u002FCD",{"slug":45,"name":46},{"slug":30,"name":31},"2026-07-12T08:17:44.718943",{"name":205,"fullName":206,"repoUrl":207,"skillCount":80,"stars":185,"forks":80,"description":208,"topics":209,"topTags":210,"topTagCount":221,"lastUpdatedAt":222},"agentops","Azure\u002Fagentops","https:\u002F\u002Fgithub.com\u002FAzure\u002Fagentops","AgentOps Accelerator is an open source framework and CLI for adding continuous evaluation and observability to enterprise AI agents. It standardizes evaluation patterns, automates assessments in CI\u002FCD workflows, and generates structured signals that help teams monitor, control, and safely operate agentic systems at scale.",[],[211,212,213,216,217,218],{"slug":5,"name":8},{"slug":36,"name":37},{"slug":214,"name":215},"evals","Evals",{"slug":42,"name":43},{"slug":199,"name":200},{"slug":219,"name":220},"compliance","Compliance",13,"2026-07-15T06:02:51.371749",{"name":224,"fullName":225,"repoUrl":226,"skillCount":80,"stars":145,"forks":79,"description":227,"topics":228,"topTags":229,"topTagCount":139,"lastUpdatedAt":242},"sre-agent-plugins","Azure\u002Fsre-agent-plugins","https:\u002F\u002Fgithub.com\u002FAzure\u002Fsre-agent-plugins","Azure SRE Agent Plugins",[],[230,231,232,233,236,239],{"slug":39,"name":40},{"slug":42,"name":43},{"slug":5,"name":8},{"slug":234,"name":235},"logs","Logs",{"slug":237,"name":238},"metrics","Metrics",{"slug":240,"name":241},"alerting","Alerting","2026-07-12T08:20:44.017673",{"name":244,"fullName":245,"repoUrl":246,"skillCount":79,"stars":145,"forks":145,"description":247,"topics":248,"topTags":249,"topTagCount":21,"lastUpdatedAt":260},"amg-skills","Azure\u002Famg-skills","https:\u002F\u002Fgithub.com\u002FAzure\u002Famg-skills","Agent skills for Azure Managed Grafana",[],[250,251,252,253,254,257],{"slug":5,"name":8},{"slug":39,"name":40},{"slug":42,"name":43},{"slug":93,"name":94},{"slug":255,"name":256},"cost-optimization","Cost Optimization",{"slug":258,"name":259},"finance","Finance","2026-07-12T08:19:59.033036",{"name":262,"fullName":263,"repoUrl":264,"skillCount":265,"stars":266,"forks":11,"description":267,"topics":268,"topTags":269,"topTagCount":280,"lastUpdatedAt":281},"containerization-assist","Azure\u002Fcontainerization-assist","https:\u002F\u002Fgithub.com\u002FAzure\u002Fcontainerization-assist",3,41,null,[],[270,271,274,275,278,279],{"slug":5,"name":8},{"slug":272,"name":273},"containers","Containers",{"slug":30,"name":31},{"slug":276,"name":277},"docker","Docker",{"slug":48,"name":49},{"slug":70,"name":71},8,"2026-07-19T05:40:02.706462",{"name":283,"fullName":284,"repoUrl":285,"skillCount":145,"stars":139,"forks":145,"description":286,"topics":287,"topTags":290,"topTagCount":299,"lastUpdatedAt":300},"Connectors","Azure\u002FConnectors","https:\u002F\u002Fgithub.com\u002FAzure\u002FConnectors","Connector Namespaces - Connect your AI agents and workloads to the apps you already use.",[5,288,289,158],"connector-namespaces","connectors",[291,292,293,296],{"slug":45,"name":46},{"slug":5,"name":8},{"slug":294,"name":295},"integrations","Integrations",{"slug":297,"name":298},"mcp","MCP",4,"2026-07-12T08:18:19.008492",{"name":302,"fullName":303,"repoUrl":304,"skillCount":125,"stars":305,"forks":305,"description":306,"topics":307,"topTags":308,"topTagCount":299,"lastUpdatedAt":315},"ai-gateway","Azure\u002Fai-gateway","https:\u002F\u002Fgithub.com\u002FAzure\u002Fai-gateway",0,"AI Gateway tier in Azure API Management is the AI-focused tier of Azure API Management.",[],[309,312,313,314],{"slug":310,"name":311},"ai-infrastructure","AI Infrastructure",{"slug":45,"name":46},{"slug":5,"name":8},{"slug":297,"name":298},"2026-07-25T05:56:28.50857",{"name":317,"fullName":318,"repoUrl":319,"skillCount":125,"stars":320,"forks":321,"description":322,"topics":323,"topTags":324,"topTagCount":299,"lastUpdatedAt":331},"ai-infrastructure-on-azure","Azure\u002Fai-infrastructure-on-azure","https:\u002F\u002Fgithub.com\u002FAzure\u002Fai-infrastructure-on-azure",31,15,"This repositories contains examples and best practices for AI workloads on Azure",[],[325,326,327,328],{"slug":310,"name":311},{"slug":5,"name":8},{"slug":54,"name":55},{"slug":329,"name":330},"operations","Operations","2026-07-12T08:18:16.298894",{"name":333,"fullName":334,"repoUrl":335,"skillCount":125,"stars":336,"forks":337,"description":338,"topics":339,"topTags":340,"topTagCount":299,"lastUpdatedAt":347},"azure-blueprints","Azure\u002Fazure-blueprints","https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-blueprints",260,149,"A library of sample Blueprints that can be easily imported via API or PowerShell",[],[341,342,343,346],{"slug":5,"name":8},{"slug":30,"name":31},{"slug":344,"name":345},"infrastructure-as-code","Infrastructure as Code",{"slug":108,"name":109},"2026-07-12T08:17:49.646405",{"name":349,"fullName":350,"repoUrl":351,"skillCount":125,"stars":352,"forks":353,"description":354,"topics":355,"topTags":357,"topTagCount":299,"lastUpdatedAt":365},"azure-policy","Azure\u002Fazure-policy","https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-policy",1686,1153,"Repository for Azure Resource Policy built-in definitions and samples",[5,356],"policy",[358,359,360,363],{"slug":5,"name":8},{"slug":219,"name":220},{"slug":361,"name":362},"governance","Governance",{"slug":356,"name":364},"Policy","2026-07-12T08:17:48.378432",{"name":367,"fullName":368,"repoUrl":369,"skillCount":125,"stars":305,"forks":145,"description":267,"topics":370,"topTags":371,"topTagCount":299,"lastUpdatedAt":378},"PMAgent-Spec","Azure\u002FPMAgent-Spec","https:\u002F\u002Fgithub.com\u002FAzure\u002FPMAgent-Spec",[],[372,373,374,375],{"slug":5,"name":8},{"slug":136,"name":137},{"slug":297,"name":298},{"slug":376,"name":377},"specs","Specs","2026-07-12T08:20:42.729607",{"items":380,"total":18},[381,401,411,421,432,442,453,466,479,489,501,511,522,534,552,562,575],{"slug":382,"name":382,"fn":383,"description":384,"org":385,"tags":386,"stars":79,"repoUrl":78,"updatedAt":400},"documentdb-azure-deployment","deploy Azure DocumentDB clusters","Deploy an Azure DocumentDB cluster (`Microsoft.DocumentDB\u002FmongoClusters`) end-to-end — Bicep (primary), Azure CLI one-shot, Terraform, or portal. Covers resource-group creation, cluster parameters (tier, storage, server version, sharding, HA), firewall rule configuration, retrieving the connection string, and teardown. Use when the user asks to provision, create, deploy, or spin up an Azure DocumentDB cluster, or wants infrastructure-as-code for one.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[387,389,392,395,396,397],{"name":8,"slug":5,"type":388},"tag",{"name":390,"slug":391,"type":388},"Bicep","bicep",{"name":393,"slug":394,"type":388},"CLI","cli",{"name":34,"slug":33,"type":388},{"name":31,"slug":30,"type":388},{"name":398,"slug":399,"type":388},"Terraform","terraform","2026-07-12T08:18:56.861159",{"slug":402,"name":402,"fn":403,"description":404,"org":405,"tags":406,"stars":79,"repoUrl":78,"updatedAt":410},"documentdb-connection","configure MongoDB connections for DocumentDB","Optimize MongoDB client connection configuration (pools, timeouts, patterns) for Azure DocumentDB. Use this skill when working on functions that instantiate or configure a MongoDB client (e.g., calling `connect()`), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool exhaustion), optimizing connection-related performance issues. Includes scenarios like building serverless functions, creating API endpoints, optimizing high-traffic applications, or debugging connection failures.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[407,408,409],{"name":8,"slug":5,"type":388},{"name":34,"slug":33,"type":388},{"name":88,"slug":87,"type":388},"2026-07-12T08:18:49.875358",{"slug":412,"name":412,"fn":413,"description":414,"org":415,"tags":416,"stars":79,"repoUrl":78,"updatedAt":56},"documentdb-data-modeling","design Azure DocumentDB data models","Data modeling patterns for Azure DocumentDB — embed vs reference, 16 MB document limit, denormalization for read-heavy workloads, schema versioning. Use when designing new schemas, reviewing existing data models, migrating from SQL, deciding between embedding and referencing, modeling one-to-one \u002F one-to-many \u002F many-to-many relationships, or troubleshooting document-size and query-performance problems that stem from the data model.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[417,418,419,420],{"name":8,"slug":5,"type":388},{"name":97,"slug":96,"type":388},{"name":34,"slug":33,"type":388},{"name":91,"slug":90,"type":388},{"slug":422,"name":422,"fn":423,"description":424,"org":425,"tags":426,"stars":79,"repoUrl":78,"updatedAt":431},"documentdb-driver","implement Azure DocumentDB driver best practices","MongoDB driver and SDK best practices for Azure DocumentDB — singleton `MongoClient`, connection reuse, connection-pool fundamentals. Use when writing code that instantiates a MongoDB client, reviewing driver initialization, or diagnosing connection-related bugs. For full connection-pool tuning (serverless vs OLTP vs OLAP, timeouts, retries), see the `documentdb-connection` skill.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[427,428,429,430],{"name":8,"slug":5,"type":388},{"name":34,"slug":33,"type":388},{"name":91,"slug":90,"type":388},{"name":194,"slug":193,"type":388},"2026-07-12T08:18:42.136316",{"slug":433,"name":433,"fn":434,"description":435,"org":436,"tags":437,"stars":79,"repoUrl":78,"updatedAt":441},"documentdb-full-text-search","implement full-text search in Azure DocumentDB","Full-text search best practices for Azure DocumentDB using the `createSearchIndexes` command and `$search` aggregation stage — BM25 keyword scoring, fuzzy search (`maxEdits`), phrase search with `slop`, custom analyzers (keyword + lowerCase + asciiFolding + edgeGram) for prefix \u002F ID matching, `pathHierarchy` tokenizer for hierarchical IDs, multi-field search indexes, and hybrid (BM25 + vector) retrieval via Reciprocal Rank Fusion. Use when building search experiences, adding typo tolerance, matching phrases or prefixes on IDs \u002F SKUs \u002F part numbers, or combining lexical and semantic retrieval on the same collection.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[438,439,440],{"name":8,"slug":5,"type":388},{"name":34,"slug":33,"type":388},{"name":178,"slug":177,"type":388},"2026-07-15T06:02:41.270913",{"slug":443,"name":443,"fn":444,"description":445,"org":446,"tags":447,"stars":79,"repoUrl":78,"updatedAt":452},"documentdb-high-availability","configure high availability for DocumentDB","High availability, business-continuity, and disaster-recovery best practices for Azure DocumentDB — enabling in-region HA with availability zones (99.99% SLA), adding active-passive cross-region replica clusters (99.995% SLA), and understanding automatic backup retention. Use when designing production topology, planning failover, provisioning DR, picking regions, or reviewing cluster architecture.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[448,449,450,451],{"name":8,"slug":5,"type":388},{"name":34,"slug":33,"type":388},{"name":330,"slug":329,"type":388},{"name":88,"slug":87,"type":388},"2026-07-12T08:18:53.654505",{"slug":454,"name":454,"fn":455,"description":456,"org":457,"tags":458,"stars":79,"repoUrl":78,"updatedAt":465},"documentdb-indexing","select and shape Azure DocumentDB indexes","Index-type selection and shape guidance for Azure DocumentDB — when to use single-field, compound (ESR), multikey, wildcard, hashed, 2dsphere, TTL, and vector indexes; query-pattern → index-shape cookbook; per-collection index budget; DocumentDB-specific preference for `textSearch` over community `$text`. Use when designing or reviewing indexes, choosing an index type for a query pattern, or deciding whether an additional index is worth the write cost.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[459,460,461,462],{"name":8,"slug":5,"type":388},{"name":94,"slug":93,"type":388},{"name":34,"slug":33,"type":388},{"name":463,"slug":464,"type":388},"NoSQL","nosql","2026-07-12T08:18:44.753904",{"slug":467,"name":467,"fn":468,"description":469,"org":470,"tags":471,"stars":79,"repoUrl":78,"updatedAt":478},"documentdb-local-deployment","run Azure DocumentDB locally for development","Best practices for running Azure DocumentDB locally for development — choosing between the Gateway Docker image and the psql-only image, docker-compose setup, connection config (port 10260, TLS, SCRAM-SHA-256), env-driven configuration, sample-data management (`SKIP_INIT_DATA` \u002F `INIT_DATA_PATH`), port bindings, and dev\u002Fprod parity via versioned seed and schema scripts. Use when setting up a new local dev environment, writing sample apps, building integration tests, or diagnosing local connection problems.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[472,473,474,475],{"name":8,"slug":5,"type":388},{"name":34,"slug":33,"type":388},{"name":277,"slug":276,"type":388},{"name":476,"slug":477,"type":388},"Local Development","local-development","2026-07-15T06:02:42.621039",{"slug":480,"name":480,"fn":481,"description":482,"org":483,"tags":484,"stars":79,"repoUrl":78,"updatedAt":488},"documentdb-mcp-setup","configure DocumentDB MCP server","Guide users through installing and configuring the DocumentDB MCP server for Azure DocumentDB. Use this skill when a user wants to wire the DocumentDB MCP server into an agentic client (Claude Code, Claude Desktop, Cursor, Copilot CLI, Gemini CLI, VS Code) and define a `CONNECTION_PROFILES` entry, or when they hit MCP connection \u002F auth \u002F profile errors.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[485,486,487],{"name":8,"slug":5,"type":388},{"name":34,"slug":33,"type":388},{"name":298,"slug":297,"type":388},"2026-07-12T08:18:48.585505",{"slug":490,"name":490,"fn":491,"description":492,"org":493,"tags":494,"stars":79,"repoUrl":78,"updatedAt":500},"documentdb-monitoring","monitor and diagnose Azure DocumentDB","Monitoring and diagnostics best practices for Azure DocumentDB — enabling diagnostic settings and slow-query logs, analyzing them in Log Analytics, and alerting on CPU \u002F memory \u002F IOPS \u002F storage \u002F connection saturation per cluster tier. Use when setting up observability on a new cluster, investigating production incidents, or tuning alert thresholds.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[495,496,497,498,499],{"name":8,"slug":5,"type":388},{"name":34,"slug":33,"type":388},{"name":235,"slug":234,"type":388},{"name":40,"slug":39,"type":388},{"name":43,"slug":42,"type":388},"2026-07-12T08:18:51.163981",{"slug":502,"name":502,"fn":503,"description":504,"org":505,"tags":506,"stars":79,"repoUrl":78,"updatedAt":510},"documentdb-natural-language-querying","generate DocumentDB queries from natural language","Generate read-only DocumentDB\u002FMongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate queries for Azure DocumentDB, wants to filter\u002Fquery\u002Faggregate data, asks \"how do I query...\", needs help with query syntax, or discusses finding\u002Ffiltering\u002Fgrouping documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT analyze or optimize existing queries — use documentdb-query-optimizer for that. Requires DocumentDB MCP server.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[507,508,509],{"name":8,"slug":5,"type":388},{"name":34,"slug":33,"type":388},{"name":91,"slug":90,"type":388},"2026-07-12T08:18:52.422736",{"slug":512,"name":512,"fn":513,"description":514,"org":515,"tags":516,"stars":79,"repoUrl":78,"updatedAt":521},"documentdb-query-optimization","optimize Azure DocumentDB queries and pipelines","Query and aggregation-pipeline optimization rules for Azure DocumentDB — using `explain(\"executionStats\")` to verify index usage and avoid `COLLSCAN`. Use when reviewing a specific query, diagnosing a slow query, or validating that an index is actually being used. For full index-design workflow, see the `documentdb-query-optimizer` skill.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[517,518,519,520],{"name":8,"slug":5,"type":388},{"name":34,"slug":33,"type":388},{"name":52,"slug":51,"type":388},{"name":88,"slug":87,"type":388},"2026-07-15T06:02:43.856635",{"slug":523,"name":523,"fn":524,"description":525,"org":526,"tags":527,"stars":79,"repoUrl":78,"updatedAt":533},"documentdb-query-optimizer","optimize Azure DocumentDB queries and indexes","Help with DocumentDB\u002FMongoDB query optimization and indexing for Azure DocumentDB. Use only when the user asks for optimization or performance: \"How do I optimize this query?\", \"How do I index this?\", \"Why is this query slow?\", \"Can you fix my slow queries?\", etc. Do not invoke for general query writing unless user asks for performance or index help. Prefer indexing as optimization strategy. Use DocumentDB MCP when available.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[528,529,530,531,532],{"name":8,"slug":5,"type":388},{"name":94,"slug":93,"type":388},{"name":34,"slug":33,"type":388},{"name":52,"slug":51,"type":388},{"name":88,"slug":87,"type":388},"2026-08-01T05:42:32.441157",{"slug":535,"name":535,"fn":536,"description":537,"org":538,"tags":539,"stars":79,"repoUrl":78,"updatedAt":551},"documentdb-security","configure security for Azure DocumentDB","Security best practices for Azure DocumentDB — TLS enforcement, Private Endpoint \u002F firewall configuration, Microsoft Entra ID + RBAC for authentication, and customer-managed keys (CMK) for encryption at rest. Use when reviewing production security posture, configuring networking, setting up authentication \u002F authorization, or preparing for compliance audits.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[540,541,544,547,550],{"name":8,"slug":5,"type":388},{"name":542,"slug":543,"type":388},"Encryption","encryption",{"name":545,"slug":546,"type":388},"Entra ID","entra-id",{"name":548,"slug":549,"type":388},"RBAC","rbac",{"name":49,"slug":48,"type":388},"2026-07-12T08:18:46.054812",{"slug":553,"name":553,"fn":554,"description":555,"org":556,"tags":557,"stars":79,"repoUrl":78,"updatedAt":561},"documentdb-sharding","configure horizontal sharding for Azure DocumentDB","Horizontal sharding (partitioning) for Azure DocumentDB collections — when to shard vs stay single-shard, how to pick a shard key for read-heavy vs write-heavy workloads, the logical\u002Fphysical shard mental model, scaling out vs scaling up, hot-partition diagnosis, and the `sh.shardCollection` \u002F `sh.reshardCollection` commands. Use when deciding whether to shard a collection, choosing or changing a shard key, sizing a cluster, or troubleshooting uneven storage \u002F throughput across physical shards.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[558,559,560],{"name":112,"slug":111,"type":388},{"name":8,"slug":5,"type":388},{"name":34,"slug":33,"type":388},"2026-07-12T08:18:47.332736",{"slug":563,"name":563,"fn":564,"description":565,"org":566,"tags":567,"stars":79,"repoUrl":78,"updatedAt":574},"documentdb-storage","configure Azure DocumentDB storage","Storage configuration guidance for Azure DocumentDB — when and how to use Premium SSD v2 high-performance storage, IOPS\u002Fbandwidth caps that are gated by compute tier (not disk size), Premium SSD v2 limitations (no CMK, migration paths, disk-hydration sequencing), and storage capacity change limits. Use when picking a storage type at cluster creation, sizing for I\u002FO-intensive workloads, migrating from Premium SSD to Premium SSD v2, or sequencing compute\u002Fstorage\u002FHA changes on a Premium SSD v2 cluster.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[568,569,570,571],{"name":8,"slug":5,"type":388},{"name":34,"slug":33,"type":388},{"name":88,"slug":87,"type":388},{"name":572,"slug":573,"type":388},"Storage","storage","2026-07-12T08:18:43.461992",{"slug":576,"name":576,"fn":577,"description":578,"org":579,"tags":580,"stars":79,"repoUrl":78,"updatedAt":585},"documentdb-vector-search","implement vector search in Azure DocumentDB","Vector search best practices for Azure DocumentDB using `cosmosSearch` — choosing between DiskANN \u002F HNSW \u002F IVF, creating indexes, tuning `lBuild` \u002F `lSearch` \u002F `maxDegree`, Product Quantization (up to 16,000 dims), half-precision (fp16) indexing, and normalizing embeddings for cosine similarity. Use when building RAG \u002F semantic-search applications, creating a vector index, tuning recall\u002Flatency, or reducing vector-index memory footprint.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[581,582,583,584],{"name":8,"slug":5,"type":388},{"name":97,"slug":96,"type":388},{"name":34,"slug":33,"type":388},{"name":178,"slug":177,"type":388},"2026-07-15T06:02:40.019441"]