lendo-arquivos

Parse Excel and CSV files into structured JSON for agent analysis.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Rafael-2109/frete-sistema --skill lendo-arquivos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lendo-arquivos
Source: https://github.com/Rafael-2109/frete-sistema/tree/main/.claude/skills/lendo-arquivos
Command: npx skills add https://github.com/Rafael-2109/frete-sistema --skill lendo-arquivos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, openpyxl, xlrd, and includes scripts (resource) components.

What problem does it solve?

Esta Skill lê arquivos Excel (.xlsx/.xls) e CSV enviados pelo usuário e os converte em JSON para facilitar a análise.

Core Features & Use Cases

  • Leitura de arquivos Excel (.xlsx/.xls) e CSV enviados pelo usuário.
  • Retorna dados estruturados em JSON para consumo por outras skills.
  • Útil para importação, análise e validação de dados de planilhas.

Quick Start

Use o script principal para ler um arquivo anexado. Exemplo: python .claude/skills/lendo-arquivos/scripts/ler.py --url "/agente/api/files/default/dados.xlsx"

Frequently Asked Questions about lendo-arquivos

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert Excel and CSV files to JSON for analysis?

This Skill reads uploaded Excel (.xlsx, .xls) and CSV files and converts them directly to structured JSON format suitable for agent analysis. It handles sheet selection, header row detection, separator autodetection, and proper serialization of dates, numbers, and nulls.

Can I parse multiple sheets from an Excel file?

Yes, the Skill supports sheet selection options when processing Excel files. You can specify which sheet to extract, or process specific row ranges and configure header row positioning for accurate data extraction.

What file formats and encoding does this support?

The Skill processes Excel (.xlsx and .xls formats) and CSV files with automatic separator detection and encoding handling. It returns properly serialized JSON with correct type preservation for dates, numbers, and null values.

How do I import spreadsheet data for downstream processing?

Upload your Excel or CSV file and use the Skill to extract data as structured JSON. The output is ready for immediate consumption by other skills for validation, transformation, analysis, or export workflows.

What are the limitations when working with large CSV and Excel files?

The Skill supports row limit configuration to control data volume during processing. Consider filtering or chunking very large files before upload, and verify encoding compatibility for non-standard character sets in CSV sources.

Do I need additional tools to use data from these spreadsheets?

No additional tools are required to read and convert files. The Skill outputs clean JSON that integrates directly with analysis workflows, though downstream processing typically involves data validation, transformation, or export skills.