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Found 286 Skills
Polars fast DataFrame library. Use for fast data processing.
Use when "GeoPandas", "geospatial", "GIS", "shapefile", "GeoJSON", or asking about "spatial analysis", "coordinate transformation", "spatial join", "choropleth map", "buffer analysis", "geographic data", "map visualization"
Perform technical analysis on stock K-line data, calculate indicators such as MA/MACD/RSI, and judge trends and trading signals. Trigger scenarios: (1) "Analyze the technical aspects of Moutai" (2) "Check if this stock is buyable" (3) "Technical analysis 600519" (4) Used when needing to judge stock trends and trading points. Need to use data-collect to obtain data first
This skill should be used when the user asks to "validate FHIR resources", "check HL7 messages", "validate healthcare data format", "parse FHIR", "HL7 v2 messages", "FHIR R5 validation", "CDA documents", "healthcare data interchange", "FHIR resource schema", "HL7 specifications", or mentions FHIR validation, HL7 message parsing, CDA validation, healthcare data format compliance, or Fast Healthcare Interoperability Resources standards.
Trend and technical analysis. Use this skill whenever the user asks for technical or trend analysis of one coin. Trigger phrases include: technical analysis, K-line, RSI, MACD, trend, support, resistance. MCP tools: info_markettrend_get_kline, info_markettrend_get_indicator_history, info_markettrend_get_technical_analysis, info_marketsnapshot_get_market_snapshot.
Patterns for Domo Custom Connector IDE work only (not Domo App Platform custom apps).
Guide for implementing Syncfusion WinUI DataGrid (SfDataGrid) for tabular data display in desktop applications. Use this skill when working with data grids, sorting, filtering, grouping, or CRUD operations. Covers data binding, column configuration, master-details views, Excel export, and performance optimization including data virtualization and custom templates.
Access and navigate GenomeArk AWS S3 bucket - VGP assemblies, QC data, and species directory structure
Skill Index and Orchestration Center — Automatically routes to the correct skill combination and orchestrates execution order based on user intent. Triggered when users ask questions involving stock quotes, cryptocurrencies, technical indicators, financial news, research report generation, or any scenario that requires skill invocation. Also triggered when users ask "Where does the data come from?", "What can you do?", or "What features do you have?"
Develops and executes Spark code on Dataproc Clusters and Serverless. Reads and writes data using BigLake Iceberg catalogs, BigQuery and Spanner. Debugs execution failures. Use when: - Writing Spark ETL pipelines on GCP. - Training or running inference with ML models with spark on GCP. - Managing Spark clusters, jobs, batches, and interactive sessions. Don't use when: - Writing generic Python scripts that don't use Spark. - Performing simple SQL queries that can be done directly in BigQuery.
Reads AR/AP, historical cash timing, and known fixed costs from QuickBooks, PayPal, Stripe, or Square — or a CSV upload — and produces a 30/60/90-day cash flow forecast with percentage-variance confidence bands and named risk flags. Delivers a chat summary and a downloadable XLSX. Use when the user asks "forecast my cash flow," "will I make payroll," mentions "runway," or says "cash crunch." Falls back to CSV upload when no connector is live.
Build ETL pipelines and analytics dashboards for Harvard Art Museums API data using Python, SQL, and Streamlit