Total 50,401 skills, Data Processing has 2557 skills
Showing 12 of 2557 skills
Write ClickHouse queries for SigNoz dashboards over OpenTelemetry logs and traces. Use this skill whenever the user asks for SigNoz ClickHouse queries for logs or traces, SigNoz dashboard queries, log analysis, span counts, latency, or trace breakdowns.
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
Vehicle routing (VRP, TSP, PDP) — problem types and data requirements. Domain concepts; no API or interface.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Map "Profit Growth × Financial Conditions (Financial Environment)" to the "Investment Clock" to determine the current quadrant, whether it has been rotating clockwise or counterclockwise recently, and the position difference compared to the previous cycle.
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation, missing value handling, groupby operations, or performance optimization.
Extracts specific fields from JSON files efficiently using jq instead of reading entire files, saving 80-95% context. Use this skill when querying JSON files, filtering/transforming data, or getting specific field(s) from large JSON files
Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
World-class systematic trading research - backtesting, alpha generation, factor models, statistical arbitrage. Transform hypotheses into edges. Use when "backtest, alpha, factor model, statistical arbitrage, quant research, systematic trading, mean reversion, momentum strategy, regime detection, walk forward, " mentioned.
Master of capital preservation and position sizing - combining Kelly Criterion, volatility targeting, correlation analysis, and drawdown management to survive and thrive in marketsUse when "risk management, position size, stop loss, drawdown, kelly, risk per trade, portfolio risk, volatility, max loss, trading, risk-management, position-sizing, kelly-criterion, drawdown, volatility, stop-loss, portfolio-risk" mentioned.