leitura-arquivos

Extract structured text, tables, and insights from PDF, DOCX, XLSX, CSV, TXT, and Markdown files.

Updated Apr 12, 2026

Search Tags:#ocr #summarization #pdf #xlsx #docx #data-extraction #document-analysis

Ready to run

npx skills add https://github.com/MaxServDev/DriClaw-Evolution-local --skill leitura-arquivos

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: leitura-arquivos
Source: https://github.com/MaxServDev/DriClaw-Evolution-local/tree/main/.agents/skills/leitura-arquivos
Command: npx skills add https://github.com/MaxServDev/DriClaw-Evolution-local --skill leitura-arquivos

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Rapidly reads, summarizes and extracts structured data from user-provided documents and tables so users avoid manual review and copying across files.

Core Features & Use Cases

Multi-format parsing: Supports PDF, DOCX, XLSX, CSV, TXT and Markdown files plus image analysis via vision tools.
Table and data extraction: Detects and extracts tabular data into structured formats for reporting and ingestion.
Summarization & insights: Produces concise executive summaries and strategic insights tailored for a Head of Innovation persona.
WhatsApp-optimized delivery: Advises when to generate attachable files and requires the [SISTEMA_SEND_FILE:caminho/do/arquivo] tag for sending documents.
Governance-minded outputs: Emphasizes data architecture, clear bullets, and explicit statements when information is missing.

Quick Start

Ask Dri to analyze the attached file and provide a concise executive summary plus any extracted table data.

Frequently Asked Questions about leitura-arquivos

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

FAQPage Schema

How do I extract data from PDF and Excel files for document analysis?▼

Document analysis extracts structured text, tables, and insights from PDF, DOCX, XLSX, CSV, and TXT files. It parses tabular data into structured formats for reporting and data ingestion while applying OCR for image-based files.

Can I use OCR to extract tables and text from images in conversational workflows?▼

OCR-assisted analysis extracts text and tables from uploaded images within conversational workflows. It integrates with vision analysis tools to handle attachments and enforces image size limits during the document parsing process.

What is the best way to generate executive summaries from large document files?▼

Generating executive summaries from large documents produces concise strategic insights tailored for innovation personas. It analyzes uploaded files to deliver governance-minded outputs, emphasizing data architecture and clear bullets while explicitly stating missing information.

Does this document extraction approach support WhatsApp file delivery?▼

WhatsApp-optimized delivery advises when to generate attachable files and requires the specific send-file tag for sending documents. It integrates with file generator and cloud tools to handle attachments and produce final outputs optimized for WhatsApp delivery.

How do I parse tabular data from CSV and Markdown files into structured formats?▼

Multi-format parsing detects and extracts tabular data from CSV and Markdown files into structured formats. This table extraction capability formats the detected data for immediate reporting and ingestion without manual copying.

When should I not use automated document analysis for file processing?▼

Automated document analysis is not suitable when your workflow requires manual review or when source files lack structured text, tables, or recognizable formats. It explicitly states when information is missing rather than guessing during extraction.