web-analytics-insights

Report, rank, compare, and trend social media performance across Instagram, Facebook Pages, TikTok, YouTube, LinkedIn Pages, and Google Business Profile through Windsor.ai. Use when the user asks about reach, impressions, engagement (likes, comments, shares, saves), follower growth, video views, and watch time. Do not use to change anything, to connect an account, or to schedule exports - route those to the sibling skills.

Connect, reconnect, or add accounts for any of the 350+ sources Windsor.ai supports - Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Microsoft Ads, Amazon Ads, Instagram, Facebook Pages, LinkedIn Pages, YouTube, TikTok, Google Business Profile, GA4, Search Console, HubSpot, Salesforce, Pipedrive, GoHighLevel, Shopify, Amazon Seller Central, Klaviyo, Stripe, QuickBooks, Xero, BigQuery, Snowflake, Google Sheets, and more - and resolve which connected account a request means. Use when the user wants to connect or set up a source, asks what is connected or available, sees no data, or hits a permission or sign-in error. Do not use for analysis or changes.

Analyze TikTok account (organic) performance through Windsor.ai. Use when the user asks about their TikTok personal or business account's organic insights — video views, likes, comments, shares, followers, profile views, or audience breakdowns by country, age, gender, or active hour. Do not use for TikTok Ads (those live in the TikTok Ads connector), other platforms, or publishing videos.

Analyze and manage TikTok Ads through Windsor.ai. Use when the user asks about their TikTok Ads performance — pulling live campaign, ad group, or ad metrics (spend, impressions, clicks, conversions, CPA, ROAS), comparing date ranges, or finding top or underperforming campaigns — or when they want to pause or enable a campaign, ad group, or ad, or change a campaign or ad group budget. Do not use for TikTok organic (that's the TikTok Organic connector — no ad or cost data there), or other ad platforms (Meta/Facebook, Google, LinkedIn, Microsoft Ads).

Analyze and manage Microsoft Advertising (Bing Ads) through Windsor.ai. Use when the user asks about their Microsoft Ads performance — pulling live campaign, ad group, keyword, or ad metrics (spend, impressions, clicks, CTR, CPC, conversions, CPA, ROAS), comparing date ranges, or finding top or underperforming campaigns or ad groups — or when they want to pause or enable a campaign or ad group, or change a campaign's daily budget. Do not use for other ad platforms (Google Ads, Meta/Facebook Ads, TikTok Ads, LinkedIn Ads), organic Bing or web search rankings, or website analytics.

Analyze LinkedIn company page (organic) performance through Windsor.ai. Use when the user asks about their LinkedIn page's organic insights — follower growth, impressions, reach, clicks, reactions, comments, shares, engagement rate, or visitor demographics by industry, job function, seniority, or company size. It can also publish a text or image post to the company page, always after the user approves the full draft. Do not use for LinkedIn Ads (those live in the LinkedIn Ads connector) or other platforms.

Create and publish new items on platforms connected to Windsor.ai - campaigns, ad groups, and responsive search ads on Google Ads; campaigns, ad sets, ads, and boosted posts on Meta Ads; image, carousel, video (Reels), and story posts and comments on Instagram; posts on Facebook Pages, LinkedIn Pages, Threads, and Google Business Profile; flows on Klaviyo; records on Salesforce; contacts and invoices on GoHighLevel; customers and subscriptions on Stripe; pages and posts on WordPress. Use when the user wants to create, make, build, launch, draft, publish, post, or schedule something new. Collect inputs, show the full draft, and create only after explicit confirmation.

Create new items on Instagram, Facebook Pages, TikTok, YouTube, LinkedIn Pages, and Google Business Profile through Windsor.ai - publish image, video, carousel, and story posts and comment on posts on Instagram; publish text and photo posts on Facebook Pages; publish text and image posts on LinkedIn Pages; create posts, reply to reviews, and update photos, hours, and open status on Google Business Profile. Use when the user wants to create, publish, or post something new. Collect inputs, show the full draft, create only after confirmation.

About 450 ready-made HyperFrames blocks and components installed as editable source - transitions, overlays, titles, kinetic type, captions, charts, map overlays, 3D, camera moves. Use it before hand-building any named visual (CRT scanlines, glitch, film grain, a chart); also for hyperframes add and catalog.

Federate across multiple data sources in one AIDP Spark session — read from several connectors (Oracle ADB/ExaCS, Fusion, Snowflake, S3, lakehouse tables, …) and join them in a single notebook. Use when the user wants to combine/join data from more than one source, blend an external system with the lakehouse, or do cross-source analysis. Composes the spark-connectors plugin; does not duplicate connectors.

Register and validate reusable question→Spark-SQL pairs in .aidp/verified-queries.md so the agent reuses trusted SQL before generating new SQL. Use when the user wants to save a working query as canonical, build a verified-query repository, or improve answer reliability for recurring questions. Validates each pair on the cluster before marking it verified.

Load a data file (CSV/JSON/Parquet/etc.) into a managed AIDP Delta table. Use when the user wants to ingest a file into a table, create a table from a file, or land raw data in the lakehouse. Supports the 1-step path and the 3-step upload→infer→create path. Control-plane via the official `aidp` CLI.

Build and manage AIDP Knowledge Bases for RAG — create a KB over catalog data, pick an embedding model + chunking, build an HNSW/IVF vector index, add data sources (volume/table), run ingestion jobs, and manage KB permissions. Use when the user wants RAG, a knowledge base, document/vector search, embeddings, semantic retrieval, or to feed a RAG_TOOL agent-flow node. This is the corpus/index layer; the agent that queries it is authored in aidp-agent-flows (RAG_TOOL) or aidp-agent-highcode.

Create, edit, and execute AIDP notebooks and manage their kernel sessions. Use when the user wants to author a notebook, run cells/code on a cluster, attach/detach a kernel session, or build an interactive notebook (e.g. with widgets + Spark SQL + Plotly). Notebook FILE ops run via the Notebook contents REST API; CELL EXECUTION runs via $HOME/.aidp/aidp_sql.py.

Write-side Spark SQL on the AIDP lakehouse — DDL (CREATE/ALTER/DROP table·view·schema), DML (INSERT/UPDATE/DELETE/MERGE upsert), and Delta maintenance (OPTIMIZE, VACUUM, time travel, RESTORE, schema evolution, liquid clustering). Use when the user wants to create/alter/drop a table or view, insert/update/delete/merge rows, upsert, compact/optimize/vacuum a Delta table, query an old version (time travel), restore, evolve a schema, or run any non-SELECT SQL. For read-only analytics use aidp-analyzing-data; for control-plane (CLI/REST) table lifecycle use aidp-table-management.

Work with AIDP volumes — list volumes, browse files inside a volume, upload/download via the PAR flow, and create directories. Use when the user mentions volumes, needs to stage large/binary files, or move data in/out of a volume (distinct from the workspace filesystem). Control-plane via the official `aidp` CLI.