[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-microsoft-email-analytics":3,"mdc-sv1sgo-key":34,"related-repo-microsoft-email-analytics":878,"related-org-microsoft-email-analytics":989},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":23,"repoUrl":24,"updatedAt":25,"license":26,"forks":27,"topics":28,"repo":29,"sourceUrl":32,"mdContent":33},"email-analytics","analyze email volume and response patterns","Analyze your email patterns over a time period — volume trends, top senders, response time estimates, busiest days, and unread backlog statistics.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"microsoft","Microsoft","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fmicrosoft.png",[12,16,17,20],{"name":13,"slug":14,"type":15},"Productivity","productivity","tag",{"name":9,"slug":8,"type":15},{"name":18,"slug":19,"type":15},"Analytics","analytics",{"name":21,"slug":22,"type":15},"Email","email",947,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fwork-iq","2026-04-06T18:35:26.264312",null,109,[],{"repoUrl":24,"stars":23,"forks":27,"topics":30,"description":31},[],"MCP Server and CLI for accessing Work IQ","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fwork-iq\u002Ftree\u002FHEAD\u002Fplugins\u002Fworkiq-productivity\u002Fskills\u002Femail-analytics","---\nname: email-analytics\ndescription: Analyze your email patterns over a time period — volume trends, top senders, response time estimates, busiest days, and unread backlog statistics.\n---\n\n# Email Analytics\n\nGet a data‑driven view of your email life. This skill scans your inbox and sent folder over a time period, crunches the numbers, and presents a formatted analytics dashboard — volume by day, top senders, response patterns, busiest hours, flagged backlogs, and unread trends. Use it to understand your communication load and identify where your email time goes.\n\n## When to Use\n\n- \"Analyze my email patterns this month\"\n- \"How many emails did I get last week?\"\n- \"Who sends me the most email?\"\n- \"Show me my email volume trends\"\n- \"Give me inbox statistics for the last 30 days\"\n- \"What does my email workload look like?\"\n\n## Instructions\n\n### Step 1: Identify the User\n\n```\nworkiq-ask (\n  question: \"What is my profile information including display name and email address?\"\n)\n```\n\nExtract **displayName** and **mail** for report personalization.\n\n### Step 2: Retrieve Received Emails\n\nPull all received emails across the analysis period:\n\n```\nworkiq-ask (\n  question: \"List all emails I received in the last \u003Ctime period>. For each email include the sender name and email, subject, received date and time, read\u002Funread status, importance level, whether it has attachments, and flag status.\"\n)\n```\n\nFor longer periods, run multiple queries to capture the full window:\n- `\"List all emails I received this week with sender, subject, date, read status, importance, attachments, and flag status\"`\n- `\"List all emails I received last week with sender, subject, date, read status, importance, attachments, and flag status\"`\n- etc.\n\n### Step 3: Retrieve Sent Emails\n\nPull all sent emails for response analysis:\n\n```\nworkiq-ask (\n  question: \"List all emails I sent in the last \u003Ctime period>. For each email include the recipients, subject, sent date and time, and whether it has attachments.\"\n)\n```\n\nCollect for each message (received and sent):\n- **From \u002F To** — sender and recipient addresses\n- **ReceivedDateTime** — timestamp for volume trends\n- **IsRead** — read vs. unread status\n- **Importance** — high\u002Fnormal\u002Flow\n- **HasAttachments** — attachment tracking\n- **Flag status** — flagged items count\n- **Subject** — for thread grouping\n\n### Step 4: Compute Analytics\n\nAggregate the data into the following metrics:\n\n**Volume Metrics:**\n- Total received, total sent\n- Daily average received \u002F sent\n- Ratio of received to sent\n\n**Temporal Patterns:**\n- Volume by day of week (Mon–Sun)\n- Peak hours (morning, afternoon, evening)\n- Busiest single day\n\n**People Metrics:**\n- Top 10 senders by volume\n- Top 10 recipients you email most\n- Emails from direct manager\n\n**Status Metrics:**\n- Unread count and percentage\n- Flagged count\n- High importance count\n- Emails with attachments\n\n### Step 5: Present the Analytics Dashboard\n\n```\n📊 EMAIL ANALYTICS — {displayName}\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n📅 Period: {start date} → {end date} ({N} days)\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n📬 VOLUME OVERVIEW\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n  📥 Received:     {total received}    ({daily avg}\u002Fday)\n  📤 Sent:         {total sent}        ({daily avg}\u002Fday)\n  📈 Ratio:        {received:sent ratio}\n  📬 Unread:       {unread count}      ({unread %}%)\n  🚩 Flagged:      {flagged count}\n  ⚡ High Priority: {high importance count}\n\n📅 VOLUME BY DAY OF WEEK\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n  Mon │ ████████████████████░░░░░  82\n  Tue │ ███████████████████████░░  94  ← busiest\n  Wed │ ██████████████████░░░░░░░  73\n  Thu │ █████████████████████░░░░  86\n  Fri │ ██████████████░░░░░░░░░░░  58\n  Sat │ ███░░░░░░░░░░░░░░░░░░░░░  12\n  Sun │ ██░░░░░░░░░░░░░░░░░░░░░░   8\n\n👤 TOP SENDERS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n  #1  Firstname1 Lastname1    │ 34 emails │ ████████████████\n  #2  notifications@jira     │ 28 emails │ █████████████\n  #3  Firstname2 Lastname2   │ 22 emails │ ██████████\n  #4  Firstname3 Lastname3   │ 18 emails │ ████████\n  #5  build-alerts@ci        │ 15 emails │ ███████\n  #6  Firstname4 Lastname4   │ 14 emails │ ██████\n  #7  calendar@outlook       │ 12 emails │ █████\n  #8  Firstname5 Lastname5   │ 10 emails │ ████\n  #9  newsletter@company     │  9 emails │ ████\n  #10 help-desk@contoso      │  7 emails │ ███\n\n👤 TOP RECIPIENTS (your sent mail)\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n  #1  Firstname1 Lastname1    │ 19 emails\n  #2  Firstname2 Lastname2   │ 14 emails\n  #3  Manager: Firstname6 Lastname6 │ 11 emails\n  #4  Firstname3 Lastname3   │  9 emails\n  #5  Team DL                │  8 emails\n\n📎 ATTACHMENT STATS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n  📎 Emails with attachments: {count} ({percentage}%)\n  📊 Most common types:       PDF, XLSX, DOCX\n\n🔍 INSIGHTS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n  💡 Tuesday is your busiest email day — consider blocking focus time.\n  💡 {unread count} unread emails — consider triaging your inbox.\n  💡 {percentage}% of received email is from automated systems.\n  💡 You send {ratio} emails for every {N} received.\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n```\n\n## Output Format\n\nA formatted analytics dashboard with bar charts for volume trends, ranked sender\u002Frecipient tables, attachment statistics, and actionable insights. Bar charts use Unicode block characters for visual representation.\n\n## Parameters\n\n| Parameter | Required | Default | Description |\n|-----------|----------|---------|-------------|\n| Time period | No | Last 7 days | Analysis window (e.g., \"this month\", \"last 30 days\", \"this quarter\") |\n| Include sent | No | true | Whether to analyze outgoing emails too |\n| Detail level | No | full | `summary` (volume only) or `full` (all sections) |\n| Show insights | No | true | Include AI‑generated insights and recommendations |\n\n## Required MCP Tools\n\n| MCP Server | Tool | Purpose |\n|---|---|---|\n| workiq (Local WorkIQ CLI) | `ask` | User identity, email retrieval (received and sent), and message metadata for analytics |\n\n## Tips\n\n- Run weekly for a quick health check on your email workload, or monthly for trend spotting.\n- High automated‑email percentage? Consider unsubscribing or filtering newsletter noise.\n- Compare week‑over‑week by running twice with different date ranges.\n- The insights section auto‑detects patterns like automated senders, unread backlogs, and busiest days to give you actionable advice.\n- If email peaks align with meeting‑heavy days, you may need more focus time.\n\n## Examples\n\n**Last 7 days at a glance**\n> \"Analyze my email patterns for the last week\"\n\nReturns a full dashboard covering the past 7 days — total received and sent, top senders, busiest day, unread count, and key insights like automated-email percentage.\n\n---\n\n**Monthly deep-dive**\n> \"Give me inbox statistics for March\"\n\nRuns a 31-day analysis, identifying volume trends by day of week, ranking your top 10 senders, and flagging any growing unread backlog. Useful for end-of-month reporting or planning the next sprint.\n\n---\n\n**Quick sender check**\n> \"Who sends me the most email this quarter?\"\n\nFocuses the output on the Top Senders table. Even when requesting a narrow slice, the full dashboard is generated — scroll to the **TOP SENDERS** section or ask for `detail level: summary` to limit output to volume and sender rankings only.\n\n## Error Handling\n\n**No emails found for the requested period**\nIf `ask` returns no email results, verify the time period phrasing (e.g., use \"last 30 days\" instead of a specific date range). The query is natural-language driven — overly precise date strings may not match. Retry with a broader phrase.\n\n**Incomplete or partial data**\nIf `ask` returns fewer results than expected or omits certain metadata fields, compute analytics on the available data. 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████████████████████░░░░░  82\n  Tue │ ███████████████████████░░  94  ← busiest\n  Wed │ ██████████████████░░░░░░░  73\n  Thu │ █████████████████████░░░░  86\n  Fri │ ██████████████░░░░░░░░░░░  58\n  Sat │ ███░░░░░░░░░░░░░░░░░░░░░  12\n  Sun │ ██░░░░░░░░░░░░░░░░░░░░░░   8\n\n👤 TOP SENDERS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n  #1  Firstname1 Lastname1    │ 34 emails │ ████████████████\n  #2  notifications@jira     │ 28 emails │ █████████████\n  #3  Firstname2 Lastname2   │ 22 emails │ ██████████\n  #4  Firstname3 Lastname3   │ 18 emails │ ████████\n  #5  build-alerts@ci        │ 15 emails │ ███████\n  #6  Firstname4 Lastname4   │ 14 emails │ ██████\n  #7  calendar@outlook       │ 12 emails │ █████\n  #8  Firstname5 Lastname5   │ 10 emails │ ████\n  #9  newsletter@company     │  9 emails │ ████\n  #10 help-desk@contoso      │  7 emails │ ███\n\n👤 TOP RECIPIENTS (your sent mail)\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n  #1  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Helps you triage and prioritize your workday.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[935,936,939,942,943],{"name":9,"slug":8,"type":15},{"name":937,"slug":938,"type":15},"Outlook Calendar","outlook-calendar",{"name":940,"slug":941,"type":15},"Outlook Email","outlook-email",{"name":13,"slug":14,"type":15},{"name":892,"slug":893,"type":15},"2026-04-06T18:35:28.767999",{"slug":946,"name":946,"fn":947,"description":948,"org":949,"tags":950,"stars":23,"repoUrl":24,"updatedAt":964},"declarative-agent-developer","build and deploy declarative agents for M365","Create, build, deploy, and localize declarative agents for M365 Copilot and Teams. USE THIS SKILL for ANY task involving a declarative agent — including localization, scaffolding, editing manifests, adding capabilities, and deploying. Localization requires tokenized manifests and language files that only this skill knows how to produce. Triggers: \"create agent\", \"create a declarative agent\", \"new declarative agent\", \"scaffold an agent\", \"new agent project\", \"add a capability\", \"add a plugin\", \"configure my agent\", \"deploy my agent\", \"fix my agent manifest\", \"edit my agent\", \"localize my agent\", \"add localization\", \"translate my agent\", \"multi-language agent\", \"add an API plugin\", \"add an MCP plugin\", \"add OAuth to my plugin\", \"review instructions\", \"improve instructions\", \"fix my instructions\"\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[951,954,957,960,961],{"name":952,"slug":953,"type":15},"Agents","agents",{"name":955,"slug":956,"type":15},"Copilot","copilot",{"name":958,"slug":959,"type":15},"Deployment","deployment",{"name":9,"slug":8,"type":15},{"name":962,"slug":963,"type":15},"Microsoft 365","microsoft-365","2026-04-06T18:35:42.309091",{"slug":4,"name":4,"fn":5,"description":6,"org":966,"tags":967,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[968,969,970,971],{"name":18,"slug":19,"type":15},{"name":21,"slug":22,"type":15},{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},{"slug":973,"name":973,"fn":974,"description":975,"org":976,"tags":977,"stars":23,"repoUrl":24,"updatedAt":987},"install-atk","install and update M365 Agents Toolkit","Install or update the M365 Agents Toolkit (ATK) CLI and VS Code extension. Triggers: \"install atk\", \"update atk\", \"install agents toolkit\", \"update agents toolkit\", \"install the toolkit\", \"setup atk\", \"get atk\", \"install atk cli\", \"install atk extension\", \"install atk vsix\", \"update the vs code extension\", \"install latest atk\", \"upgrade atk\"\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[978,979,982,985,986],{"name":952,"slug":953,"type":15},{"name":980,"slug":981,"type":15},"CLI","cli",{"name":983,"slug":984,"type":15},"Local Development","local-development",{"name":9,"slug":8,"type":15},{"name":962,"slug":963,"type":15},"2026-04-06T18:35:40.873947",14,{"items":990,"total":1179},[991,1011,1030,1049,1064,1081,1092,1105,1120,1135,1154,1167],{"slug":992,"name":992,"fn":993,"description":994,"org":995,"tags":996,"stars":1008,"repoUrl":1009,"updatedAt":1010},"rushstack-best-practices","manage Rush monorepos with best practices","Provides best practices and guidance for working with Rush monorepos. Use when the user is working in a Rush-based repository, asks about Rush commands (install, update, build, rebuild), needs help with project selection, dependency management, build caching, subspace configuration, or troubleshooting Rush-specific issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[997,1000,1001,1002,1005],{"name":998,"slug":999,"type":15},"Engineering","engineering",{"name":983,"slug":984,"type":15},{"name":9,"slug":8,"type":15},{"name":1003,"slug":1004,"type":15},"Project Management","project-management",{"name":1006,"slug":1007,"type":15},"Rush","rush",6484,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frushstack","2026-04-06T18:34:44.965032",{"slug":1012,"name":1012,"fn":1013,"description":1014,"org":1015,"tags":1016,"stars":1027,"repoUrl":1028,"updatedAt":1029},"azure-ai-agents-persistent-dotnet","build AI agents with Azure .NET SDK","Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: \"PersistentAgentsClient\", \"persistent agents\", \"agent threads\", \"agent runs\", \"streaming agents\", \"function calling agents .NET\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1017,1020,1021,1024],{"name":1018,"slug":1019,"type":15},".NET","net",{"name":952,"slug":953,"type":15},{"name":1022,"slug":1023,"type":15},"Azure","azure",{"name":1025,"slug":1026,"type":15},"LLM","llm",2804,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills","2026-07-03T16:32:10.297433",{"slug":1031,"name":1031,"fn":1032,"description":1033,"org":1034,"tags":1035,"stars":1027,"repoUrl":1028,"updatedAt":1048},"azure-ai-anomalydetector-java","build anomaly detection applications with Java","Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate\u002Fmultivariate anomaly detection, time-series analysis, or AI-powered monitoring.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1036,1037,1038,1041,1044,1045],{"name":18,"slug":19,"type":15},{"name":1022,"slug":1023,"type":15},{"name":1039,"slug":1040,"type":15},"Data Analysis","data-analysis",{"name":1042,"slug":1043,"type":15},"Java","java",{"name":9,"slug":8,"type":15},{"name":1046,"slug":1047,"type":15},"Monitoring","monitoring","2026-05-13T06:14:16.261754",{"slug":1050,"name":1050,"fn":1051,"description":1052,"org":1053,"tags":1054,"stars":1027,"repoUrl":1028,"updatedAt":1063},"azure-ai-contentsafety-java","build content moderation applications with Azure AI","Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text\u002Fimage analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1055,1058,1059,1060],{"name":1056,"slug":1057,"type":15},"AI Infrastructure","ai-infrastructure",{"name":1022,"slug":1023,"type":15},{"name":1042,"slug":1043,"type":15},{"name":1061,"slug":1062,"type":15},"Security","security","2026-07-07T06:53:31.293235",{"slug":1065,"name":1065,"fn":1066,"description":1067,"org":1068,"tags":1069,"stars":1027,"repoUrl":1028,"updatedAt":1080},"azure-ai-contentsafety-py","detect harmful content with Azure AI Content Safety","Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.\nTriggers: \"azure-ai-contentsafety\", \"ContentSafetyClient\", \"content moderation\", \"harmful content\", \"text analysis\", \"image analysis\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1070,1071,1074,1075,1076,1079],{"name":1022,"slug":1023,"type":15},{"name":1072,"slug":1073,"type":15},"Compliance","compliance",{"name":1025,"slug":1026,"type":15},{"name":9,"slug":8,"type":15},{"name":1077,"slug":1078,"type":15},"Python","python",{"name":1061,"slug":1062,"type":15},"2026-07-18T05:14:23.017504",{"slug":1082,"name":1082,"fn":1083,"description":1084,"org":1085,"tags":1086,"stars":1027,"repoUrl":1028,"updatedAt":1091},"azure-ai-language-conversations-py","implement conversational language understanding with Python","Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1087,1088,1089,1090],{"name":18,"slug":19,"type":15},{"name":1022,"slug":1023,"type":15},{"name":1025,"slug":1026,"type":15},{"name":1077,"slug":1078,"type":15},"2026-07-31T05:54:29.068751",{"slug":1093,"name":1093,"fn":1094,"description":1095,"org":1096,"tags":1097,"stars":1027,"repoUrl":1028,"updatedAt":1104},"azure-ai-translation-text-py","translate text using Azure AI services","Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\nTriggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1098,1101,1102,1103],{"name":1099,"slug":1100,"type":15},"API Development","api-development",{"name":1022,"slug":1023,"type":15},{"name":9,"slug":8,"type":15},{"name":1077,"slug":1078,"type":15},"2026-07-18T05:14:16.988376",{"slug":1106,"name":1106,"fn":1107,"description":1108,"org":1109,"tags":1110,"stars":1027,"repoUrl":1028,"updatedAt":1119},"azure-ai-vision-imageanalysis-py","analyze images with Azure AI Vision","Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.\nTriggers: \"image analysis\", \"computer vision\", \"OCR\", \"object detection\", \"ImageAnalysisClient\", \"image caption\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1111,1112,1115,1118],{"name":1022,"slug":1023,"type":15},{"name":1113,"slug":1114,"type":15},"Computer Vision","computer-vision",{"name":1116,"slug":1117,"type":15},"Images","images",{"name":1077,"slug":1078,"type":15},"2026-07-18T05:14:18.007737",{"slug":1121,"name":1121,"fn":1122,"description":1123,"org":1124,"tags":1125,"stars":1027,"repoUrl":1028,"updatedAt":1134},"azure-appconfiguration-java","manage configuration with Azure App Configuration","Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.\nTriggers: \"ConfigurationClient java\", \"app configuration java\", \"feature flag java\", \"configuration setting java\", \"azure config java\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1126,1127,1130,1133],{"name":1022,"slug":1023,"type":15},{"name":1128,"slug":1129,"type":15},"Configuration","configuration",{"name":1131,"slug":1132,"type":15},"Feature Flags","feature-flags",{"name":1042,"slug":1043,"type":15},"2026-07-03T16:32:01.278468",{"slug":1136,"name":1136,"fn":1137,"description":1138,"org":1139,"tags":1140,"stars":1027,"repoUrl":1028,"updatedAt":1153},"azure-cosmos-rust","build applications with Azure Cosmos DB","Azure Cosmos DB library for Rust (NoSQL API). Document CRUD, containers, and globally distributed data.\nTriggers: \"cosmos db rust\", \"CosmosClient rust\", \"document crud rust\", \"NoSQL rust\", \"partition key rust\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1141,1144,1147,1150],{"name":1142,"slug":1143,"type":15},"Cosmos DB","cosmos-db",{"name":1145,"slug":1146,"type":15},"Database","database",{"name":1148,"slug":1149,"type":15},"NoSQL","nosql",{"name":1151,"slug":1152,"type":15},"Rust","rust","2026-07-31T05:54:27.021432",{"slug":1155,"name":1155,"fn":1137,"description":1156,"org":1157,"tags":1158,"stars":1027,"repoUrl":1028,"updatedAt":1166},"azure-cosmos-ts","Azure Cosmos DB JavaScript\u002FTypeScript SDK (@azure\u002Fcosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. Triggers: \"Cosmos DB\", \"@azure\u002Fcosmos\", \"CosmosClient\", \"document CRUD\", \"NoSQL queries\", \"bulk operations\", \"partition key\", \"container.items\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1159,1160,1161,1162,1163],{"name":1142,"slug":1143,"type":15},{"name":1145,"slug":1146,"type":15},{"name":9,"slug":8,"type":15},{"name":1148,"slug":1149,"type":15},{"name":1164,"slug":1165,"type":15},"TypeScript","typescript","2026-07-03T16:31:19.368382",{"slug":1168,"name":1168,"fn":1169,"description":1170,"org":1171,"tags":1172,"stars":1027,"repoUrl":1028,"updatedAt":1178},"azure-data-tables-java","build table storage applications with Java","Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1173,1174,1175,1176,1177],{"name":1022,"slug":1023,"type":15},{"name":1142,"slug":1143,"type":15},{"name":1145,"slug":1146,"type":15},{"name":1042,"slug":1043,"type":15},{"name":1148,"slug":1149,"type":15},"2026-05-13T06:14:17.582229",267]