Skills for “data”

Generate JSON-LD structured data for AEM Edge Delivery Services pages. Analyzes page content and metadata to determine the appropriate schema.org types, extracts relevant properties, and produces validated JSON-LD…

Use when a user mentions Scandit, data capture SDK, barcode scanning products, smart data capture, choosing a scanning product, comparing scanning features, supported barcode symbologies, system requirements, device…

…recalculation, seed/refresh a metric, stage validated data, prepare export metrics, or copy data between metrics. It cannot run, schedule, delete, update existing configs, use snapshots/recovered apps, or…

Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline. The argument is the description of the dataset to generate.

Fetch weather/climate data via Earth2Studio data sources for specific variables and times. Do NOT use for inference pipelines, model discovery, or installation.

Run data-quality rule checks on AIDP tables — not-null, uniqueness, allowed ranges/sets, referential integrity, and freshness. Use when the user wants to validate data, check for nulls/duplicates/orphans, assert a…

Share AIDP data via Delta Sharing — create/manage shares, add data assets, manage recipients, and grant access/permissions. Use when the user wants to share a table/schema with another team or org, set up Delta Sharing,…

Pre-migration data-availability scan. Reads a migration manifest, probes every spark.read.* / saveAsTable target on the AIDP cluster, reports OK / MISSING / EMPTY with remediation tips per category. Use before any…

Explains how to query PostHog data, defaulting to typed runners for supported product analytics. Read it before you write HogQL/SQL. Also read it before you call execute-sql against PostHog. Use it to find or aggregate…

…billing, CRM deals, support tickets, ad spend, production database tables, bucket files, or local file uploads. Also use when the user wants to join PostHog events with external data, or when a query fails because an…

Use Superset MCP data-returning tools for chart data, chart previews, rendered chart SQL, and dataset query results. Use only for MCP tool workflows; do not use for direct API work.

…cleanup, or destructive operation that could result in data loss — shell-level (rm -rf, git rm, bulk sed) or brain-level (bulk forget, delete sweeps, purge-deleted, source removal, raw-SQL truncation). Presents a…

Investigates live product issues against Amplitude data — "is X firing today", "did the release break Y", "which users are affected by Z". Covers the verify-then-query loop, query_amplitude_data parameterization, and…

Pre-migration data-availability scan. Reads every notebook in a migration manifest, extracts every spark.read.table / spark.read.parquet / saveAsTable reference, and probes whether each target schema/table/path exists…

…AIDP lakehouse with Spark SQL. Use when the user asks a data question ("how many…", "top N…", "show me…", "trend of…", "revenue by…") or wants to run ad-hoc Spark SQL. Grounds in .aidp/catalog.md + .aidp/semantic.md…

…feature, fix, or prioritization task where Pendo usage data, signals, issues, or customer feedback could ground the plan in real product behavior — e.g. "plan a fix for the pricing-page dropoff", "what should I…

Signals scout for PostHog data pipelines — CDP destinations and transformations, batch exports, and hog flows. Watches for delivery failures, degraded functions, and stalled exports against each pipeline's baseline.

Signals scout for warehouse imports. Watches external data sources, sync schemas, webhook push channels, and materialized views for failures, silent staleness, and row-volume cliffs, and suggests materialization…

IDMP data import/export skill. Use it to inspect exportable root elements, review import/export records, download artifacts, and distinguish package export, artifact download, and import flows.

IDMP data import and export workflow. Separate package import or export from datasource CSV import, read first, write carefully, and reread records after every write.