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分析数据集以提取洞察、识别模式并生成报告。适用于探索数据、创建可视化或执行统计……

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Creates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the…

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating…

This skill should be used when analyzing CSV datasets, handling missing values through intelligent imputation, and creating interactive dashboards to visualize…

Creates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the…

生成指向 Arize UI 的深链接，用于 traces、spans、sessions、datasets、labeling queues、evaluators 和 annotation configs。生成可点击的 URL，用于…

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset…

Profile and explore datasets to understand their shape, quality, and patterns before analysis. Use when encountering a new dataset, assessing data quality,…

Analyze datasets with a decision-first workflow. Use when the user needs to inspect CSV/JSON/Parquet/SQL extracts, validate data quality, explain trends, compare segments, summarize experiment or telemetry results, or turn raw tables into evidence-backed findings — even if they ask in domain language like KPI, retention, funnel, cohort, revenue, campaign, export, dashboard data, or game telemetry. Choose the right lane (spreadsheet-scale triage, SQL slicing, notebook/statistical analysis, or stakeholder-ready summary) and hand off cleanly to dashboard, anomaly-detection, or implementation skills when needed.

Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating charts and maps, cleaning messy data,…

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical…

Use the Hugging Face Hub CLI (`hf`) to download, upload, and manage models, datasets, and Spaces.