data-table-analysis

star 736

Use this skill for converting researched facts or user-provided data into structured tables by writing code, then running Python/pandas calculations in the job-scoped sandbox. This skill is for numeric normalization, tabular analysis, rankings, growth rates, summary statistics, CSV/JSON generation, and markdown tables. Triggers: "compute table", "calculate growth", "normalize values", "extract figures", "rank companies", "QoQ", "YoY", "CAGR", "summary statistics", "CSV", "JSON", "markdown table", "standardize quarters", "standardize currencies", "compare over time". Outputs: Markdown tables, CSV text, JSON records, summary statistics, rankings, and data-quality notes.

NVIDIA-AI-Blueprints By NVIDIA-AI-Blueprints schedule Updated 6/16/2026

Skill instructions (SKILL.md) could not be loaded from local cache or raw GitHub repository.

Install via CLI
npx skills add https://github.com/NVIDIA-AI-Blueprints/aiq --skill data-table-analysis
Repository Details
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