Total 50,510 skills, Data Processing has 2560 skills
Showing 12 of 2560 skills
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"
Analyze, rank, and prioritize trading strategies using multi-factor scoring. Use when creating prioritization plans, ranking strategies, analyzing strategy portfolios, comparing strategy performance, or making strategy selection decisions.
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.
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.
MPSTATS Ozon 俄罗斯站按俄语类目路径下钻该类目全部商品。返回每个 SKU 的销量、销售额、价格、评分、库存、周转、损失销售额等完整指标，支持多维数值筛选、排序、货币换算。用于类目爆款挖掘、蓝海洞察、类目排名分析、品牌格局观察。当用户提到 Ozon 类目下钻、Ozon 类目商品、Ozon 蓝海挖掘、Ozon 品类爆款、Ozon 类目排名、Ozon 子类目结构、Ozon 赛道 SKU、MPSTATS category, Ozon category drill-down, Russian marketplace niche, Ozon niche mining, Ozon subcategory bestseller 时触发此技能。即使用户未明确说"MPSTATS"，只要意图是按 Ozon 类目路径查看该类目下所有商品的销量/价格/排名表现，也应触发此技能。
Create or update a Coral source spec YAML for a custom HTTP API or local dataset. Use when authoring a standalone source for `coral source add --file`, or when adapting that spec into a bundled source in the Coral repo.