Total 54,166 skills, Data Processing has 2771 skills
Showing 12 of 2771 skills
Build end-to-end real-time data pipelines with Kafka, PostgreSQL, Airflow, and Streamlit using Medallion Architecture for streaming analytics.
Write spatial SQL against the connected warehouse — dialect-specific guidance, performance defaults, and CARTO's query/job execution model.
Quickly judge the current valuation level, historical quantile, relative position among peers, and revaluation conditions of individual stocks. Suitable for scenarios such as initially judging "whether it's expensive", screening valuation positions, discussing odds and expectation requirements.
Match external CSV/JSONL records to CRM contacts (by email) or companies (by domain) and write enriched data back in one pass using `hubspot objects upsert`.
Sigma integration. Manage data, records, and automate workflows. Use when the user wants to interact with Sigma data.
Parse and analyze STDF (Standard Test Data Format) semiconductor test files. Convert STDF to CSV/XLSX, generate analysis reports, correlation reports, PDF charts, and extract specific test data.
Track crypto holdings across exchanges. Calculate P&L, asset allocation, and generate performance reports.
Complete Guide to QMT (Xuntou High-Speed Strategy Trading System) Python Strategy Development. Covers strategy writing, backtesting, live trading, API references, and code examples. Use this skill when developing QMT quantitative strategies or querying QMT APIs.
Tongdaxin Quantitative Data Retrieval Skill. Use this skill when users mention tdxquant, Tongdaxin, TdxQuant, tqcenter, and need to obtain A-share market data (market snapshot, K-line, financial data, sector data, convertible bonds, new stocks, trading data, etc.), query trading calendars, execute Tongdaxin formulas, subscribe to market quotes, or place trading orders.
6 geoscience & climate skills. Trigger: earth science data, GIS, remote sensing, climate modeling. Design: geospatial tools, satellite data processing, and environmental models.
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
Use this skill when working with Brain Imaging Data Structure (BIDS) datasets: organizing neuroscience and biomedical data (MRI, EEG, MEG, iEEG, PET, microscopy, NIRS, motion capture, EMG, MR spectroscopy, behavioral), querying BIDS layouts, validating compliance, converting DICOM to BIDS, writing metadata sidecars, or creating BIDS derivatives.