Total 50,502 skills, Data Processing has 2559 skills
Showing 12 of 2559 skills
Market microstructure analysis via Longbridge Securities — bid-ask spread, order-flow toxicity (large-order pressure), liquidity depth, price impact, and institutional order direction. Covers A-share call-auction analysis and HK block-trade mechanics. Triggers: "盘口分析", "微观结构", "订单流", "大单分析", "买卖价差", "逐笔分析", "买卖盘深度", "挂单墙", "主力动向", "集合竞价", "盤口分析", "微觀結構", "訂單流", "大單分析", "買賣價差", "逐筆分析", "買賣盤深度", "掛單牆", "主力動向", "market microstructure", "order flow", "bid-ask spread", "depth analysis", "large order", "order book imbalance", "price impact", "auction analysis", "institutional order flow".
C-optimized technical analysis with 150+ functions and 61 candlestick pattern recognition functions via TA-Lib
Retrieve full historical end-of-day price data for market indices using Octagon MCP. Use when analyzing index performance over time, tracking market trends, calculating returns, and understanding market context for individual stock analysis.
Small-cap growth stock discovery — identifies overlooked small/mid-cap high-growth companies (A-share 专精特新, HK growth stocks, US small-cap growth) by screening for market cap < 5–10B, revenue growth > 30%, ROE > 15%, and low institutional ownership. Triggers: "小盘成长", "小市值", "成长股", "中小盘", "专精特新", "隐形冠军", "小盘股", "成长潜力", "小盤成長", "小市值", "成長股", "中小盤", "專精特新", "隱形冠軍", "small cap growth", "small cap stocks", "growth stocks", "mid-small cap", "hidden champions", "high growth companies", "small cap discovery", "emerging growth", "小市值成长股", "中小市值".
通过Eureka专利数据平台获取专利说明书（描述）数据。当用户提到专利说明书、专利全文、专利技术描述、专利实施方式详情、Eureka说明书数据、patent specification, patent full text, technical description, embodiment details, Eureka, patent detailed description, patent description data时触发此技能。即使用户未明确说"Eureka"，只要其需要查看一项或多项专利的完整说明书/描述内容，也应触发此技能。
MPSTATS Ozon 俄罗斯站按卖家 ID 下钻商品列表。返回该卖家下全部 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。用于店铺结构分析、卖家爆款拆解、竞争对手店铺对标。当用户提到 Ozon 卖家商品、Ozon 店铺分析、Ozon 卖家下钻、Ozon 卖家 SKU、Ozon 店铺爆款、Ozon 竞争店铺、MPSTATS seller, Ozon seller drill-down, Ozon shop audit, Russian marketplace seller SKUs, Ozon store structure 时触发此技能。即使用户未明确说"MPSTATS"，只要意图是按 Ozon 卖家 ID 看该店铺下全部商品的销售表现，也应触发此技能。
Systematisk analys av intervjutranskript enligt Gioia-metodiken. [VAD] Analyserar kvalitativa intervjutranskript genom 1st-order kodning (informantspråk), 2nd-order tematisering (forskarkonceptualisering) och aggregerade dimensioner. Producerar standardiserad dokumentation med indexerade, export-ready citat. [NÄR] Use when: gioia, intervjuanalys, transkriptanalys, kvalitativ analys, kodning, tematisk analys, grounded theory, 1st-order, 2nd-order [SPRÅK] Svenska (primärt), engelska vid behov [KÄLLA] Gioia, D.A., Corley, K.G. & Hamilton, A.L. (2013). Seeking Qualitative Rigor in Inductive Research. Organizational Research Methods.
Web scraping, search, and data extraction using Firecrawl API. Use when users need to fetch web content, discover URLs on sites, search the web, or extract structured data from pages.
Video/audio/image processing with FFmpeg and ImageMagick. Tools: FFmpeg (video/audio), ImageMagick (images). Capabilities: format conversion, encoding (H.264/H.265/VP9/AV1), streaming (HLS/DASH), filters, effects, thumbnails, watermarks, batch processing, hardware acceleration (NVENC/QSV). Actions: convert, encode, resize, crop, compress, extract, merge, stream, transcode media. Keywords: FFmpeg, ImageMagick, video encoding, audio extraction, image resize, thumbnail, watermark, HLS, DASH, H.264, H.265, VP9, AV1, codec, bitrate, framerate, resolution, aspect ratio, filter, overlay, concat, trim, fade, batch processing. Use when: converting video/audio formats, encoding with specific codecs, generating thumbnails, creating streaming manifests, extracting audio from video, batch processing images, adding watermarks, optimizing file sizes.
Guides understanding and working with Apache Beam runners (Direct, Dataflow, Flink, Spark, etc.). Use when configuring pipelines for different execution environments or debugging runner-specific issues.
Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.
Export a Google Sheets spreadsheet as a CSV file for local backup or processing.