csv-analyzer

基于统计计算，结合LLM驱动的洞察力，分析CSV数据。生成列级统计信息、模式检测、异常识别，以及自然语言的数据洞察。

SKILL.md

--- frontmatter

name: csv-analyzer
description: Analyzes CSV data using LLM-powered insights on top of statistical computation. Produces column statistics, pattern detection, anomaly identification, and natural-language data insights.

CSV Analyzer Skill

Purpose

Provide both statistical analysis and LLM-powered insights for CSV data. Computes basic stats algorithmically, then uses the LLM to identify patterns, anomalies, and produce human-readable analysis.

Invocation

Pass CSV data via stdin or SKILLSCALE_INTENT environment variable. The first line must be a header row.

Output

•Per-column statistics (type, count, min/max/mean/median)
•LLM-generated data insights and pattern analysis
•Anomaly detection and recommendations

Limitations

•Maximum 50,000 rows.
•Quality depends on LLM provider configured in .env.