Total 50,522 skills, Data Processing has 2561 skills
Showing 12 of 2561 skills
Use when creating or reviewing TradingView Pine Script v6 indicators/strategies/libraries, applying non-repainting best practices, generating Pine Script from other languages, or running Pine Script linting.
Parse, search, analyze, and ingest LinkedIn GDPR data exports. This skill should be used when working with LinkedIn data — searching messages, analyzing connections, exporting to Markdown, or ingesting into RLAMA for semantic search. Requires a LinkedIn GDPR data export ZIP file.
Parse raw text from an Instagram or TikTok Story insights screenshot and format it into a clean, spreadsheet-ready row with labeled fields. This skill should be used when parsing Story metrics from a screenshot, formatting Story insights for a spreadsheet, extracting metrics from a pasted Story screenshot, cleaning up Story analytics data, converting Story insights text into structured data, turning a Story performance screenshot into a row for the tracker, logging Story metrics into a spreadsheet, normalizing Story screenshot data, pulling numbers from a Story insights paste, organizing Story metrics from creator screenshots, processing a batch of Story screenshots into rows, building a Story metrics tracker from screenshots, or entering Story data from a screenshot into a sheet. For normalizing metrics from multiple sources into a unified table, see metrics-normalization-formatter. For calculating engagement rates and comparing to benchmarks, see engagement-rate-calculator-benchmarker.
This skill should be used when the user needs to perform year-end closing adjustments, review financial statements, compute depreciation, or review their trial balance. Trigger phrases include: "year-end settlement", "year-end closing adjustments", "prepare financial statements", "depreciation", "trial balance", "trial balance sheet", "income statement", "balance sheet", "BS", "PL", "period-end processing", "inventory taking", "accrual of unpaid expenses", "prepayment processing"
Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, implementing real-time data processing, handling stateful operations, or optimizing streaming performance.
Scrape public posts from X.com (Twitter) users. Extracts text content, timestamps, engagement metrics (views, likes, retweets, replies), and generates direct post links. Use when user asks to scrape/fetch/analyze X.com posts or Twitter data, or mentions "整理@某人的发言" or "看看某人在X上说了什么".
Learn how to supercharge your SQLite databases with full-text search capabilities using the built-in fts5 extension, enabling efficient and powerful querying with the `MATCH` keyword.
Compare multiple strategies or directions (long vs short vs both) on the same symbol. Generates side-by-side stats table.
Web crawling and scraping with analysis. Use for crawling websites, security scanning, and extracting information from web pages.
Comprehensive Power BI DAX formula optimization prompt for improving performance, readability, and maintainability of DAX calculations.
JSON querying, filtering, and transformation with jq command-line tool. Use when working with JSON data, parsing JSON files, filtering JSON arrays/objects, or transforming JSON structures.
Integrate the lithium industry chain (mining → refined chemicals → batteries and end demand) into a set of computable proxy indicators; then map these indicators to the component exposure and long-term price trends of lithium-themed ETFs (such as LIT) to form a basis for decision-making.