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create-oferta

Generate ALO offer DOCX documents from ATR PDFs using OCR and templates.

Updated Aug 23, 2026
Search Tags:#ocr#atr#pdf processing#offer generation#alom
One-click install
npx skills add https://github.com/Waxer-212/AutomatizareOfertare --skill create-oferta
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-oferta
Source: https://github.com/Waxer-212/AutomatizareOfertare/tree/main/.claude/skills/create-oferta
Command: npx skills add https://github.com/Waxer-212/AutomatizareOfertare --skill create-oferta

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytesseract, img2table, pandas, docxtpl, openpyxl, docx2pdf, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the generation of ALO offer documents from Romanian ATR PDFs, streamlining the process and reducing manual effort.

Core Features & Use Cases

  • Automated Offer Generation: Converts ATR PDFs into complete ALO offer documents with minimal manual intervention.
  • OCR and Parsing: Extracts text and structured data from ATR PDFs using OCR and parsing techniques.
  • Customization: Allows customization of offer details such as contact person, project name, and offer number.
  • Use Case: Ideal for organizations that regularly generate ALO offers from ATR PDFs, saving time and reducing errors.

Quick Start

Install dependencies: pip install -r .claude/skills/create-oferta/requirements.txt Run the full pipeline: cd .claude/skills/create-oferta; python scripts/run_pipeline.py "<path_to_atr.pdf>" --catre "Client Company SRL" --in-atentia "Contact Person"

Frequently Asked Questions about create-oferta

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

FAQPage Schema
How do I automate generating offer documents from ATR PDFs?▼

Automating offer generation from ATR PDFs requires extracting metadata and processing tables using OCR techniques. This Skill uses pytesseract and img2table to parse ATR PDFs and generates complete ALO offer documents in DOCX format using predefined templates with minimal manual intervention.

What dependencies do I need to extract text and tables from ATR PDFs?▼

Extracting text and tables from ATR PDFs requires pytesseract, img2table, pandas, docxtpl, and openpyxl. You must install these Python dependencies in your environment before running the OCR and parsing pipeline to generate ALO offers from technical documents.

Can I customize contact person and project name when generating ALO offers?▼

Customizing contact person and project name when generating ALO offers is supported through command line arguments. You can pass client company and contact person details directly to the pipeline script to tailor the output DOCX offer document to your specific requirements.

Does this OCR pipeline work for processing energy sector technical documents?▼

This OCR pipeline works for processing energy sector technical documents, specifically Romanian ATR PDFs. It applies to energy sector workflows involving offer generation from technical documents, extracting structured data to create ALO offer documents automatically.

How do I convert ATR PDF data into a formatted DOCX offer template?▼

Converting ATR PDF data into a formatted DOCX offer template involves running a Python pipeline script that extracts metadata via OCR and populates predefined DOCX templates using docxtpl. The pipeline handles table extraction with img2table and outputs a complete ALO offer document.

What are the limitations of using OCR for parsing ATR PDFs?▼

Limitations of using OCR for parsing ATR PDFs include dependency on image quality and text clarity for accurate extraction with pytesseract. The pipeline requires a properly configured Python environment with all specified OCR tools installed, and may need manual verification of extracted table data.

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