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Use when users need dashboards, reports, data visualization, schema exploration, or connector-backed test data from Windsor.ai.\ndisable-model-invocation: false\n---\n\n# Windsor.ai Business Data Skill\n\nUse this skill whenever the user needs business data — marketing analytics, sales metrics, CRM data, ecommerce transactions, financial data, or any other data available through Windsor.ai's 325+ connectors.\n\n## When to Use\n\n- User is building a dashboard, report, or data visualization that needs business data from any source\n- User asks about ad spend, campaign performance, ROAS, CTR, CPC, or conversion metrics\n- User needs CRM, sales, ecommerce, or financial data in their codebase\n- User needs to explore what data sources or fields are available\n- User wants to seed a project with real data (e.g. for testing, prototyping, or generating fixtures)\n- User is building an integration with any platform supported by Windsor.ai\n\n## Available Tools\n\nWindsor.ai provides 4 MCP tools:\n\n### `get_connectors`\nLists all connected platforms and their account IDs. Always call this first if you don't know what accounts are available.\n\n### `get_options`\nReturns available fields, date filters, and options for a specific connector. Use this to discover what data can be queried before calling `get_data`.\n\n**Parameters:**\n- `connector` (required): Platform ID like `\"google_ads\"`, `\"facebook\"`, `\"tiktok\"`, `\"linkedin\"`, `\"googleanalytics4\"`, `\"hubspot\"`, `\"salesforce\"`, `\"searchconsole\"`, `\"instagram\"`, `\"youtube\"`, `\"google_my_business\"`, `\"shopify\"`, `\"stripe\"`, `\"quickbooks\"`, and 300+ more\n- `accounts` (required): List of account IDs from `get_connectors`\n\n### `get_fields`\nReturns detailed metadata about specific fields — data types, descriptions, available values. Use this when you need to understand the schema before writing code that processes the data.\n\n**Parameters:**\n- `connector` (required): Platform ID\n- `fields` (required): List of field IDs like `[\"campaign\", \"spend\", \"clicks\"]`\n\n### `get_data`\nRetrieves actual data. This is the main query tool.\n\n**Parameters:**\n- `connector` (required): Platform ID\n- `accounts` (required): List of account IDs\n- `fields` (required): Fields to retrieve, e.g. `[\"campaign\", \"date\", \"spend\", \"clicks\", \"impressions\"]`\n- `date_from` \u002F `date_to`: Date range as `\"YYYY-MM-DD\"`\n- `date_preset`: Shorthand like `\"last_7d\"`, `\"last_30d\"`, `\"this_month\"`, `\"last_3m\"`\n- `filters`: Conditions like `[[\"spend\", \"gt\", 100], \"and\", [\"campaign\", \"contains\", \"Sale\"]]`\n- `options`: Connector-specific options like `{\"attribution_window\": \"7d_view,1d_click\"}`\n\n## Workflow Pattern\n\n1. **Discover** → Call `get_connectors` to see what's connected\n2. **Explore** → Call `get_options` to see available fields for a connector\n3. **Understand** → Call `get_fields` for field metadata if building typed interfaces\n4. **Query** → Call `get_data` to pull the actual data\n\n## Common Field Patterns\n\nFields vary by connector type. 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",{"type":52,"tag":125,"props":815,"children":817},{"className":816},[],[818],{"type":58,"value":137},{"type":58,"value":820}," first since available fields vary by connector.",{"type":52,"tag":67,"props":822,"children":824},{"id":823},"tips",[825],{"type":58,"value":826},"Tips",{"type":52,"tag":74,"props":828,"children":829},{},[830,842,854,883,894],{"type":52,"tag":78,"props":831,"children":832},{},[833,835,840],{"type":58,"value":834},"When building dashboards or charts, pull data with ",{"type":52,"tag":125,"props":836,"children":838},{"className":837},[],[839],{"type":58,"value":154},{"type":58,"value":841}," and write it to a local JSON\u002FCSV file the app can read",{"type":52,"tag":78,"props":843,"children":844},{},[845,847,852],{"type":58,"value":846},"For TypeScript projects, use ",{"type":52,"tag":125,"props":848,"children":850},{"className":849},[],[851],{"type":58,"value":298},{"type":58,"value":853}," to generate accurate type definitions",{"type":52,"tag":78,"props":855,"children":856},{},[857,859,864,866,871,872,877,878],{"type":58,"value":858},"Use ",{"type":52,"tag":125,"props":860,"children":862},{"className":861},[],[863],{"type":58,"value":438},{"type":58,"value":865}," for quick queries: ",{"type":52,"tag":125,"props":867,"children":869},{"className":868},[],[870],{"type":58,"value":446},{"type":58,"value":187},{"type":52,"tag":125,"props":873,"children":875},{"className":874},[],[876],{"type":58,"value":453},{"type":58,"value":187},{"type":52,"tag":125,"props":879,"children":881},{"className":880},[],[882],{"type":58,"value":460},{"type":52,"tag":78,"props":884,"children":885},{},[886,888],{"type":58,"value":887},"Combine filters for focused queries: ",{"type":52,"tag":125,"props":889,"children":891},{"className":890},[],[892],{"type":58,"value":893},"[[\"spend\", \"gt\", 0], \"and\", [\"campaign\", \"ncontains\", \"test\"]]",{"type":52,"tag":78,"props":895,"children":896},{},[897],{"type":58,"value":898},"You can join data from different connectors (e.g. ad spend + CRM revenue) by pulling from each and merging in code",{"items":900,"total":1021},[901,920,940,957,974,990,1009],{"slug":902,"name":902,"fn":903,"description":904,"org":905,"tags":906,"stars":34,"repoUrl":35,"updatedAt":919},"amazon-location-service","integrate Amazon Location Service APIs","Integrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or static images); geocode addresses to coordinates or reverse geocode coordinates to addresses; calculate routes, travel times, or service areas; find places and businesses through text search, nearby search, or autocomplete suggestions; retrieve detailed place information including hours, contacts, and addresses; monitor geographical boundaries with geofences; or track device locations. Covers authentication, SDK integration, and all Amazon Location Service capabilities.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[907,910,913,916],{"name":908,"slug":909,"type":15},"API Development","api-development",{"name":911,"slug":912,"type":15},"AWS","aws",{"name":914,"slug":915,"type":15},"Maps","maps",{"name":917,"slug":918,"type":15},"Navigation","navigation","2026-07-12T08:13:53.294026",{"slug":921,"name":921,"fn":922,"description":923,"org":924,"tags":925,"stars":34,"repoUrl":35,"updatedAt":939},"amplify-workflow","build full-stack apps with AWS Amplify","Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync\u002FDynamoDB including schema modeling, enum types, relationships, authorization rules), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue, Angular, React Native, Flutter, Swift, and Android. Always use this skill for Amplify Gen2 topics — even for questions you think you know — it contains validated, version-specific patterns that prevent common mistakes. TRIGGER when: user mentions Amplify Gen2; project has amplify\u002F directory or amplify_outputs; code imports @aws-amplify packages; user asks about defineBackend, defineAuth, defineData, defineStorage, or npx ampx. SKIP: Amplify Gen1 (amplify CLI v6), standalone SAM\u002FCDK without Amplify (use aws-serverless), direct Bedrock without Amplify AI Kit (use bedrock).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[926,929,930,933,936],{"name":927,"slug":928,"type":15},"Auth","auth",{"name":911,"slug":912,"type":15},{"name":931,"slug":932,"type":15},"Database","database",{"name":934,"slug":935,"type":15},"Frontend","frontend",{"name":937,"slug":938,"type":15},"TypeScript","typescript","2026-07-12T08:13:47.134012",{"slug":941,"name":941,"fn":942,"description":943,"org":944,"tags":945,"stars":34,"repoUrl":35,"updatedAt":956},"analyzer","analyze queried data for trends","Analyze queried data for trends, week-over-week comparisons, distributions, funnels, cohorts, top-N lists, anomalies, sanity checks, and report-ready findings. Use after or alongside ClickHouse queries when the user wants insight rather than raw rows.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[946,947,950,953],{"name":32,"slug":33,"type":15},{"name":948,"slug":949,"type":15},"ClickHouse","clickhouse",{"name":951,"slug":952,"type":15},"Data Analysis","data-analysis",{"name":954,"slug":955,"type":15},"Statistics","statistics","2026-07-12T08:14:05.606036",{"slug":958,"name":958,"fn":959,"description":960,"org":961,"tags":962,"stars":34,"repoUrl":35,"updatedAt":973},"artifact-management","manage and organize analysis artifacts","Save, organize, and describe reusable analysis artifacts such as SQL, result snapshots, CSV exports, summaries, caveats, plots, and report-ready files. Use when users ask to save, export, share, cite, reproduce, or organize data-analysis outputs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[963,964,967,970],{"name":951,"slug":952,"type":15},{"name":965,"slug":966,"type":15},"Productivity","productivity",{"name":968,"slug":969,"type":15},"Reporting","reporting",{"name":971,"slug":972,"type":15},"SQL","sql","2026-07-12T08:14:09.265555",{"slug":975,"name":975,"fn":976,"description":977,"org":978,"tags":979,"stars":34,"repoUrl":35,"updatedAt":989},"attorney-assist","connect with attorneys for legal consultation","Connects the user with a LegalZoom attorney for legal consultation. Use when a user asks about attorneys, lawyers, or legal help, or when contract review reveals high risks or low-confidence findings.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[980,983,986],{"name":981,"slug":982,"type":15},"Contracts","contracts",{"name":984,"slug":985,"type":15},"Legal","legal",{"name":987,"slug":988,"type":15},"Risk Assessment","risk-assessment","2026-07-12T08:13:45.878361",{"slug":991,"name":991,"fn":992,"description":993,"org":994,"tags":995,"stars":34,"repoUrl":35,"updatedAt":1008},"building-pydantic-ai-agents","build AI agents with Pydantic AI","Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydantic_ai, or asks to build an AI agent, add tools\u002Fcapabilities, defer capability loading, stream output, define agents from YAML, or test agent behavior.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[996,999,1002,1005],{"name":997,"slug":998,"type":15},"Agents","agents",{"name":1000,"slug":1001,"type":15},"LLM","llm",{"name":1003,"slug":1004,"type":15},"Multi-Agent","multi-agent",{"name":1006,"slug":1007,"type":15},"Python","python","2026-07-12T08:14:01.893781",{"slug":949,"name":949,"fn":1010,"description":1011,"org":1012,"tags":1013,"stars":34,"repoUrl":35,"updatedAt":1020},"query ClickHouse databases via CLI","Connect to and query ClickHouse (a local server or a ClickHouse Cloud service) from the terminal using the official clickhousectl CLI, including the browser OAuth login flow. Use when the user wants to run SQL against ClickHouse, explore schemas and tables, inspect Cloud services, or authenticate clickhousectl. For building a local dev environment or deploying to Cloud, defer to the official ClickHouse skills (see Scope).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1014,1015,1018,1019],{"name":32,"slug":33,"type":15},{"name":1016,"slug":1017,"type":15},"CLI","cli",{"name":948,"slug":949,"type":15},{"name":931,"slug":932,"type":15},"2026-07-12T08:14:06.829692",43,{"items":1023,"total":1149},[1024,1031,1039,1046,1053,1059,1066,1073,1085,1103,1123,1136],{"slug":902,"name":902,"fn":903,"description":904,"org":1025,"tags":1026,"stars":34,"repoUrl":35,"updatedAt":919},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1027,1028,1029,1030],{"name":908,"slug":909,"type":15},{"name":911,"slug":912,"type":15},{"name":914,"slug":915,"type":15},{"name":917,"slug":918,"type":15},{"slug":921,"name":921,"fn":922,"description":923,"org":1032,"tags":1033,"stars":34,"repoUrl":35,"updatedAt":939},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1034,1035,1036,1037,1038],{"name":927,"slug":928,"type":15},{"name":911,"slug":912,"type":15},{"name":931,"slug":932,"type":15},{"name":934,"slug":935,"type":15},{"name":937,"slug":938,"type":15},{"slug":941,"name":941,"fn":942,"description":943,"org":1040,"tags":1041,"stars":34,"repoUrl":35,"updatedAt":956},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1042,1043,1044,1045],{"name":32,"slug":33,"type":15},{"name":948,"slug":949,"type":15},{"name":951,"slug":952,"type":15},{"name":954,"slug":955,"type":15},{"slug":958,"name":958,"fn":959,"description":960,"org":1047,"tags":1048,"stars":34,"repoUrl":35,"updatedAt":973},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1049,1050,1051,1052],{"name":951,"slug":952,"type":15},{"name":965,"slug":966,"type":15},{"name":968,"slug":969,"type":15},{"name":971,"slug":972,"type":15},{"slug":975,"name":975,"fn":976,"description":977,"org":1054,"tags":1055,"stars":34,"repoUrl":35,"updatedAt":989},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1056,1057,1058],{"name":981,"slug":982,"type":15},{"name":984,"slug":985,"type":15},{"name":987,"slug":988,"type":15},{"slug":991,"name":991,"fn":992,"description":993,"org":1060,"tags":1061,"stars":34,"repoUrl":35,"updatedAt":1008},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1062,1063,1064,1065],{"name":997,"slug":998,"type":15},{"name":1000,"slug":1001,"type":15},{"name":1003,"slug":1004,"type":15},{"name":1006,"slug":1007,"type":15},{"slug":949,"name":949,"fn":1010,"description":1011,"org":1067,"tags":1068,"stars":34,"repoUrl":35,"updatedAt":1020},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1069,1070,1071,1072],{"name":32,"slug":33,"type":15},{"name":1016,"slug":1017,"type":15},{"name":948,"slug":949,"type":15},{"name":931,"slug":932,"type":15},{"slug":1074,"name":1074,"fn":1075,"description":1076,"org":1077,"tags":1078,"stars":34,"repoUrl":35,"updatedAt":1084},"cline-session-history","search and browse Cline session history","Search and browse Cline session history. Use when the user asks to find, list, inspect, or export Cline sessions by time period, prompt content, status, model, provider, source, mode, workspace, or other criteria. Also use when the user wants to read a session transcript or export sessions to a directory. Trigger phrases include \"find my session\", \"search my session history\", \"show me past sessions\", \"what was that session where\", \"find the session that started with\", and any mention of past Cline conversations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1079,1080,1083],{"name":997,"slug":998,"type":15},{"name":1081,"slug":1082,"type":15},"History","history",{"name":965,"slug":966,"type":15},"2026-07-19T06:03:13.945151",{"slug":1086,"name":1086,"fn":1087,"description":1088,"org":1089,"tags":1090,"stars":34,"repoUrl":35,"updatedAt":1102},"convex-design","build reactive backends with Convex","Design and build reactive, type-safe, production-grade backends on Convex. Covers schema, queries\u002Fmutations\u002Factions, indexes, auth, file storage, scheduling, real-time multiplayer, mobile backends, and LLM\u002Fagent workflows on Convex's one-platform stack.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1091,1092,1095,1096,1099],{"name":927,"slug":928,"type":15},{"name":1093,"slug":1094,"type":15},"Backend","backend",{"name":931,"slug":932,"type":15},{"name":1097,"slug":1098,"type":15},"Real-time","real-time",{"name":1100,"slug":1101,"type":15},"Storage","storage","2026-07-12T08:13:37.101253",{"slug":1104,"name":1104,"fn":1105,"description":1106,"org":1107,"tags":1108,"stars":34,"repoUrl":35,"updatedAt":1122},"cosmosdb-best-practices","optimize Azure Cosmos DB performance","Azure Cosmos DB performance optimization and best practices guidelines for NoSQL,\npartitioning, queries, SDK usage, and vector search. Use when writing, reviewing,\nor refactoring code that interacts with Azure Cosmos DB, designing data models,\noptimizing queries, or implementing high-performance database operations.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1109,1112,1115,1116,1119],{"name":1110,"slug":1111,"type":15},"Azure","azure",{"name":1113,"slug":1114,"type":15},"Cosmos DB","cosmos-db",{"name":931,"slug":932,"type":15},{"name":1117,"slug":1118,"type":15},"NoSQL","nosql",{"name":1120,"slug":1121,"type":15},"Performance","performance","2026-07-12T08:13:54.531719",{"slug":1124,"name":1124,"fn":1125,"description":1126,"org":1127,"tags":1128,"stars":34,"repoUrl":35,"updatedAt":1135},"data-analyst","analyze ClickHouse analytics data","Act as an interactive data analyst for ClickHouse-backed analytics. Use when the user asks questions about internal data, metrics, dashboards, telemetry, active users, revenue, funnels, trends, distributions, or wants an analyst-style conversation, ad hoc SQL, charts, or a data export against ClickHouse (local or ClickHouse Cloud).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1129,1130,1131,1134],{"name":32,"slug":33,"type":15},{"name":948,"slug":949,"type":15},{"name":1132,"slug":1133,"type":15},"Dashboards","dashboards",{"name":951,"slug":952,"type":15},"2026-07-12T08:13:31.975246",{"slug":1137,"name":1137,"fn":1138,"description":1139,"org":1140,"tags":1141,"stars":34,"repoUrl":35,"updatedAt":1148},"dataproc-skills","manage Dataproc clusters and jobs","Skills to interact with your Dataproc clusters and jobs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1142,1145],{"name":1143,"slug":1144,"type":15},"Data Engineering","data-engineering",{"name":1146,"slug":1147,"type":15},"Operations","operations","2026-07-12T08:13:42.179275",45]