Skills for “data”
297 skills match · 275 ms · understood as category: Data & Analytics
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…
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…
Patch an existing Data Capture Flow that's already deployed in a connected Salesforce org. Retrieves the live Flow Metadata JSON via the Tooling API, applies the user's requested change, and PATCHes it back. Use when…
Build custom Python data sources for Apache Spark using the PySpark DataSource API — batch and streaming readers/writers for external systems. Use this skill whenever someone wants to connect Spark to an external system…
Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data…
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",…
The data-mover for TAO jobs — decides the storage tier (A pre-positioned mount with zero fetch / B volume-from-S3 / C ephemeral in-compute fetch), stages inputs (bulk + annotation-selective + archive extract + HF/NGC…
Fetch financial and market data with the yfinance Python library (Yahoo Finance). Use this skill whenever the user wants stock data: current quotes and price history, financial statements (income statement, balance…
Patterns for visualizing data on maps including choropleth maps, heat maps, 3D visualizations, data-driven styling, and animated data. Covers layer types, color scales, and performance optimization.
…Service Mobile flows (processType='FieldServiceMobile') to DataCaptureFlow. Retrieves flow XML from the org, runs a transformer script to restructure the execution graph and convert all field types, deploys the…
…import, multi-table foreign-key loads, AI-generated sample data. Use when the user wants to write, modify, seed, or import data records into Dataverse tables, or plan or perform Finance and Operations (ERP) record…
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…
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…
…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…
Assemble a Data Capture Flow from a JSON spec and deploy it to a connected Field Service org via the Tooling Flow sObject (JSON Metadata, no XML). Use when given a data-capture spec JSON and asked to build or deploy a…
…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.
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…
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.