Total 54,072 skills, Data Processing has 2770 skills
Showing 12 of 2770 skills
Write, debug, and explain ShopifyQL queries and Shopify Segment Query Language expressions. Use this skill whenever the user wants to query Shopify analytics data, build customer segments, write ShopifyQL for reports, explore sales/orders/products data via the Shopify Admin API, debug a ShopifyQL error, understand available tables/dimensions/metrics, or translate a business question into a Shopify query. Also triggers for: "ShopifyQL", "Shopify analytics query", "customer segment filter", "Shopify segment", "SHOW FROM sales", "GROUP BY in Shopify", "Shopify report query", or any mention of ShopifyQL tables like `sales`, `sessions`, `orders`.
Salesforce Data Cloud Retrieve phase. TRIGGER when: user runs Data Cloud SQL, describe, async queries, vector search, search-index workflows, or metadata introspection for Data Cloud objects. DO NOT TRIGGER when: the task is standard CRM SOQL (use sf-soql), segment creation or calculated insight design (use sf-datacloud-segment), or STDM/session tracing/parquet analysis (use sf-ai-agentforce-observability).
Auxiliary development skill for Tongda Xin quantitative platform (TdxQuant). Use this skill when users mention "Tongda Xin", "TDX", "TdxQuant", "quantitative trading" or ask about the usage of the `tqcenter` module. It can help with environment setup, API calling, market data acquisition and trading strategy implementation.
Install, configure, and operate Scrapling for adaptive web scraping with parser-first HTML extraction, fast HTTP fetchers, browser rendering, stealth anti-bot options, CLI extraction, and optional MCP or spider workflows. Use when you need to scrape or crawl websites, choose between static, JavaScript-rendered, or protected targets, parse HTML with CSS or XPath, write Python scrapers, or run Scrapling from the terminal. Triggers on: scrapling, scrape website, crawl site, adaptive scraping, stealthy fetch, cloudflare scraping, mcp scraping server, browser scraping cli, scrapling spider.
Build credit scoring models to predict default probability from borrower characteristics. Use this skill when the user needs to assess creditworthiness, build a credit scorecard, or evaluate lending risk — even if they say 'predict default risk', 'credit scoring', or 'loan approval model'.
Apply Benford's Law to detect anomalies in numerical datasets by analyzing first-digit frequency distributions. Use this skill when the user needs to audit financial data for fraud indicators, validate data integrity, or detect fabricated numbers — even if they say 'data manipulation detection', 'first digit test', or 'accounting fraud screening'.
Nextflow DSL 2 TDD implementation workflow. References nextflow-conventions and agent-conduct.
Search and retrieve content from Twitter/X. Get user info, tweets, replies, followers, communities, spaces, and trends via twitterapi.io.
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.
Product analytics instrumentation and strategy covering event taxonomy design, tracking plans, user behavior analysis, activation/retention metrics, and marketing attribution. PostHog-first with multi-platform support (Pendo, Amplitude, Mixpanel, Heap).