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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.

Report, rank, compare, and trend web analytics performance across Google Analytics 4 and Google Search Console through Windsor.ai. Use when the user asks about sessions, users, engagement rate, conversions, and revenue from GA4; clicks, impressions, CTR, and average position from Search Console. Do not use to change anything, to connect an account, or to schedule exports - route those to the sibling skills.

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).

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.

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.

Analyze Klaviyo email and SMS performance and manage flows through Windsor.ai. Use when the user asks about their Klaviyo campaigns, flows, lists, or metrics — opens, clicks, conversions, revenue, unsubscribes — or wants to create a flow or change a flow's status (draft / manual / live). Do not use for other email platforms (Mailchimp, Brevo, …), ad campaigns, or writing email copy.

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.

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.

Create the medallion architecture on Oracle AI Data Platform - registering an EXTERNAL catalog of source type SNOWFLAKE by default, and generating Spark SQL for schemas, tables and views from an approved Snowflake plan only when the user has explicitly asked for a Standard catalog. This stage copies no data - rows are copied only by the snowmig_02_copy_schema job, when the operator runs it. Use when the user asks to create the medallion structure, soft clone, shallow clone, create the target catalog, or deploy the target schema.

Manage files and notebooks in the AIDP workspace filesystem — list, upload, download, read, create, move, rename, delete files/folders/notebooks. Use when the user wants to put a script/notebook/config into the workspace, read or move workspace files, or organize Shared/ folders.

Generate the table-creation script for a Standard AIDP catalog as an executable notebook, locally and offline. --upload is a dry run and is refused with --execute; the structure itself is created by the snowmig_01_structure workflow at S10. The script creates schemas, then tables, then views in dependency order, prints per-object progress with elapsed time so a long run stays visible, and verifies each object individually at the end. This script creates structure only and copies no data - every table arrives with zero rows; rows are copied only by the snowmig_02_copy_schema job, when the operator runs it. Use when the user has explicitly asked for a Standard catalog, or wants the migration delivered as a runnable script rather than executed straight from the CLI.

Compare source-DB rows against a migrated AIDP target via `infa2aidp cli reconcile`, driven by a YAML config (row_count / schema / aggregate / data checks, with ignore_columns for audit/surrogate columns that never match). Use after a migrated notebook has actually run and populated its AIDP target — this is the customer-facing proof the migration is correct, not merely that it ran.

Migrate a Microsoft Fabric workspace (notebooks, Warehouse T-SQL, Dataflow Gen2 / Power Query M, Data Pipelines, Lakehouse shortcuts, OneLake paths) to Oracle AI Data Platform. Use when the user wants to inventory a Fabric estate, plan a migration to AIDP, translate Fabric notebooks, Warehouse T-SQL or Power Query to Spark, verify a migration's output, or publish it into an AIDP workspace. Wraps the `fabric-aidp` CLI, with the verbs inventory, plan, migrate, verify and publish.

Read Google BigQuery tables and views from AIDP notebooks using the built-in GOOGLE_BIGQUERY connector, service-account authentication, SQL pushdown, catalog.id, or external-catalog names. Use for BigQuery or GBQ requests in AIDP 5.1 and later.

Router skill. Read this first whenever the user mentions migrating Informatica ETL (IDMC/IICS cloud mappings, PowerCenter 10.x repository XML) onto Oracle AI Data Platform (AIDP). Lays out the toolkit, the CLI command sequence, which infa-* skill handles each phase, and the tool's honest limitations — no taskflow/Mapping Task/parameter-set support, no cell-by-cell execute-and-fix loop on a live cluster, nothing validated against an export from a production Informatica repository. Compose those skills; this one adds no API surface.