Total 50,473 skills, Data Processing has 2559 skills
Showing 12 of 2559 skills
Run SQL queries against the attached DuckDB database or ad-hoc against files. Accepts raw SQL or natural language questions. Uses DuckDB Friendly SQL idioms.
OpenWeb Ninja platform help — real-time public data API stack with 30+ APIs for web scraping, enrichment, and business data. Key APIs include Website Contacts Scraper, Email Search, Local Business Data (Google Maps), Real-Time Web Search (SERP), JSearch (job postings), and Product Data. Use when extracting emails/contacts from domains, searching Google Maps for local businesses, running web search via API, aggregating job postings, fetching product data, or working with any OpenWeb Ninja API. Do NOT use for cross-platform enrichment strategy (use /sales-enrich), prospect list building strategy (use /sales-prospect-list), or connecting tools (use /sales-integration).
Search DuckDB and DuckLake documentation and blog posts. Returns relevant doc chunks for a question or keyword using full-text search against a locally cached index.
Build and execute commands to obtain Japanese stock market data with J-Quants CLI (jquants). It supports acquisition of stock prices, OHLCV candlesticks, minute bars, tick data, margin trading balances, short selling ratios, futures, options, financial statements, dividends, TOPIX and index data. It also supports checking API availability and obtainable data periods (Free/Light/Standard/Premium) for each plan. Triggers: jquants, J-Quants, stock price, stock price data, ticker, OHLCV, minute bar, JPX, TSE, TOPIX, Nikkei 225, futures, options, derivatives, short selling, margin trading, dividend, financial statements, financial results, PER, PBR, ROE, index, bulk download, Japanese stock, market data, subscription, plan, data range, API availability, update time, data update, update timing, outdated data, latest data, data freshness, update schedule
Write and run AQL (Analytic Query Language) queries to answer data questions. Use this whenever the user asks for data, wants to query a dataset, needs to filter/aggregate/join data, or asks about metrics and dimensions in Holistics.
Apache Superset integration. Manage data, records, and automate workflows. Use when the user wants to interact with Apache Superset data.
Fetches cryptocurrency market data, prices, technical analysis, news, and trends using the CoinMarketCap MCP. Use for ANY question involving cryptocurrencies, tokens, or blockchain markets, even if the user doesn't explicitly ask for data. This includes price checks, portfolio questions, market analysis, coin comparisons, holder metrics, technical indicators, and news. Trigger: "bitcoin", "ETH", "crypto", "token price", "market cap", "how is [coin] doing", "/cmc-mcp"
Design effective data dashboards with proper KPI hierarchy, chart type selection, and interactive features. Use this skill when the user needs to create a dashboard, choose the right visualizations, organize metrics for different audiences, or evaluate dashboard tools — even if they say 'build a dashboard', 'our reports are confusing', 'which chart should I use', or 'executives can't find the metrics they need'.
Apply causal inference methods — counterfactual framework, instrumental variables, propensity score matching, and difference-in-differences — to estimate causal effects from observational data. Use this skill when the user needs to determine if X caused Y from non-experimental data, evaluate program/policy impact without a randomized trial, or control for confounders — even if they say 'did this change cause the improvement', 'how do we measure the impact without an experiment', or 'is this correlation or causation'.
Conduct Exploratory Data Analysis (EDA) using descriptive statistics, visualizations, and data quality checks. Use this skill when the user has a dataset and needs to understand its structure, find patterns, detect anomalies, or prepare data for further analysis — even if they say 'what does this data look like', 'find interesting patterns', 'clean this data', or 'summarize this dataset'.
Analyze e-commerce performance using GA4 metrics, conversion funnel analysis, and key e-commerce KPIs. Use this skill when the user needs to evaluate online store performance, diagnose conversion drop-offs, set up e-commerce tracking, or create performance dashboards — even if they say 'why are sales down', 'optimize our online store', 'set up GA4 for e-commerce', or 'what metrics should we track'.
Build ARIMA models for time series forecasting with trend and seasonality decomposition. Use this skill when the user needs to forecast future values from historical sequential data, test for stationarity, or select ARIMA parameters — even if they say 'time series forecast', 'predict next month sales', or 'ARIMA model'.