Skills for “data”

Data collection for an investment firm's portfolio companies — asking them for financials, KPIs and documents, and managing what has been asked. TRIGGER on data collection, collecting financials or KPIs, requesting or…

Guide the user through connecting a new data warehouse source, including databases, SaaS tools, and bucket files. Use when the user wants to "connect Stripe", "import data from Postgres", "import files from a bucket",…

Discover, explore, and query Databricks data via Genie — the CLI equivalent of the Genie One MCP. MUST be invoked whenever the user asks to find or locate data ('what tables are in X', 'where does X live', 'which…

Grants, requests, audits and removes access to data assets in an AWS data catalog (the Amazon SageMaker Catalog supported by Amazon DataZone) through catalog subscriptions over published listings. Covers requesting a…

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…