Total 53,748 skills, Data Processing has 2766 skills
Showing 12 of 2766 skills
Expert-level Snowflake data warehouse platform, virtual warehouses, data sharing, streams, tasks, and SQL optimization
分析抖音视频评论情绪、情感和整体口碑。当用户想了解评论是正面的还是负面的、分析评论区整体舆情、评估视频是否受欢迎，或提取评论洞察时，使用此技能。
Firecrawl produces cleaner markdown than WebFetch, handles JavaScript-heavy pages, and avoids content truncation. This skill should be used when fetching URLs, scraping web pages, converting URLs to markdown, extracting web content, searching the web, crawling sites, mapping URLs, LLM-powered extraction, autonomous data gathering with the Agent API, or fetching AI-generated documentation for GitHub repos via DeepWiki. Provides complete coverage of Firecrawl v2.8.0 API endpoints including parallel agents, spark-1-fast model, and sitemap-only crawling.
Invoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
DataWorks Workspace Lifecycle Management Skill. Used for creating, updating, and deleting workspaces, as well as managing workspace members and role authorization. Triggers: "DataWorks", "workspace management", "workspace", "member authorization", "role assignment"
Estimate intrinsic value of stocks and companies using DCF, dividend discount models, comparable multiples, and residual income. Use when the user asks about discounted cash flow, DCF models, WACC, terminal value, dividend discount models, comparable multiples, or sum-of-the-parts valuation. Also trigger when users mention 'what is this stock worth', 'fair value estimate', 'Gordon growth model', 'free cash flow valuation', 'cost of equity', 'sensitivity analysis', 'exit multiple', or ask whether a stock is overvalued or undervalued.
Estimate potential future losses using VaR, Expected Shortfall, Monte Carlo simulation, and stress testing. Use when the user asks about Value-at-Risk, CVaR, Expected Shortfall, scenario analysis, stress testing, or factor-based risk decomposition. Also trigger when users mention 'how much could I lose', 'worst-case scenario', 'tail risk', 'risk budget', 'component VaR', 'marginal VaR', '99% confidence loss', 'Monte Carlo simulation', or ask how to project portfolio risk forward.
Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. Use when you have a structured input bundle and want ranked hypothesis cards with experiment designs, kill criteria, and optional strategy.yaml export compatible with edge-finder-candidate/v1.
Complete skill for the Analyzify Shopify analytics and tracking app. Covers all Analyzify MCP features and workflows. Trigger when the user wants to: check store info, view workspace details, query Google Analytics 4 data, run GA4 reports, check GA4 traffic, query Google Search Console data, view search performance, top queries, query Google Ads campaigns and performance, view ad spend and ROAS, access Shopify store data via Admin API, list products, collections, orders, query historical analytics reports, campaign attribution, traffic trends, check connected accounts, view API key capabilities, or any Analyzify-related task. Covers questions like: "what is my store", "what is my space ID", "show my GA4 traffic", "top search queries this week", "how are my Google Ads performing", "list my products", "show campaign attribution", "compare organic vs paid traffic", "what accounts are connected", "what plan am I on", "show my store dashboard", "daily sessions this month". All operations use MCP tools: execute_graphql, execute_report_graphql, introspect_schema, introspect_report_schema.
Free and open-source Google Maps scraper using Docker. Use when the user wants to find businesses, extract leads, emails, reviews, or ratings from Google Maps. Triggers on requests like "find all <business type> in <city>", "scrape Google Maps for <keyword>", "get leads from Google Maps". Keywords: google maps, scrape, business, leads, restaurants, shops, places, reviews, ratings, emails, contacts.
Axesso Data Service - Amazon integration. Manage data, records, and automate workflows. Use when the user wants to interact with Axesso Data Service - Amazon data.
Graham cigar-butt (NCAV / net-net) single-stock diagnostic. Combines a 100-point static cheapness score (NCAV, PE, PB, dividend yield, debt coverage, earnings stability) with a dynamic adjustment layer (industry cycle, earnings trend, insider activity, NCAV trajectory) to separate real bargains from value traps. Pulls data from Longbridge CLI/MCP first, falls back to WebSearch only for gaps, runs cross-statement reconciliation (勾稽校验) before scoring, and footnotes every figure to its source. Triggers: "格雷厄姆", "捡烟蒂", "烟蒂股", "烟蒂投资", "NCAV", "净流动资产", "清算价值", "安全边际", "价值陷阱", "深度价值", "撿煙蒂", "煙蒂股", "煙蒂投資", "淨流動資產", "清算價值", "安全邊際", "價值陷阱", "深度價值", "Graham", "cigar butt", "net-net", "liquidation value", "value trap", "margin of safety", "deep value", "Benjamin Graham".