Total 54,366 skills, Data Processing has 2782 skills
Showing 12 of 2782 skills
Bronze/Silver/Gold layer design patterns and templates for building scalable data lakehouse architectures. Includes incremental processing, data quality checks, and optimization strategies.
Data visualization for charts and graphs. Use when user needs "画图/图表/可视化". Creates static PNG or interactive HTML charts from data.
Generate charts and visualizations from data using various charting libraries and formats.
Use when "data visualization", "plotting", "charts", "matplotlib", "plotly", "seaborn", "graphs", "figures", "heatmap", "scatter plot", "bar chart", "interactive plots"
Use when "data pipelines", "ETL", "data warehousing", "data lakes", or asking about "Airflow", "Spark", "dbt", "Snowflake", "BigQuery", "data modeling"
Use when "improving image quality", "enhancing screenshots", "upscaling images", "sharpening photos", or asking about "image optimization", "screenshot quality", "resolution improvement"
Social media monitoring, narrative tracking, and open-source intelligence for journalists. Use when tracking viral content spread, analyzing coordinated campaigns, monitoring breaking news on social platforms, investigating accounts for authenticity, or detecting misinformation patterns. Essential for reporters covering online narratives and digital investigations.
Use public market data to check whether the Interest Rate Volatility (MOVE) is not spooked by interest rate events (such as JGB yield changes) and whether it leads VIX/credit spreads lower.
Delta Lake integration with cloud storage (S3, GCS, Azure). Covers storage_options, PyArrow filesystem, time travel, and partitioned writes.
JSON flat view, schema inference, and edit tool. Use when the user provides a JSON file or data and wants to explore its structure, infer its schema, or modify fields. Triggers on: view json, edit json, json schema, json structure, set json field, jstool, analyze json, flat view, orderbook, json flat.
Expert for developing Streamlit data apps for Keboola deployment. Activates when building, modifying, or debugging Keboola data apps, Streamlit dashboards, adding filters, creating pages, or fixing data app issues. Validates data structures using Keboola MCP before writing code, tests implementations with Playwright browser automation, and follows SQL-first architecture patterns.
Runs metrics queries against Axiom MetricsDB via scripts. Discovers available metrics, tags, and tag values. Use when asked to query metrics, explore metric datasets, check metric values, or investigate OTel metrics data.