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m1-edital-parser

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Turn editais into structured course data.

Education & Research#json#parser#data-extraction#edital#concurso#document-structuring
AuthorNunopdmp
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill isolates and structures essential data from contest editais (edital PDFs) to feed content production pipelines, reducing manual extraction errors and saving time for course design teams.

Core Features & Use Cases

  • Edital parsing: Extract contest data, including cargo, disciplina, and conteudo programatico, from PDFs.
  • Structured JSON output: Produce a JSON object aligning with the specified schema for downstream modules.
  • Use Case: A course designer uploads an edital PDF and selects a cargo and disciplina to automatically generate a ready-to-use curriculum plan.

Quick Start

Analyze a provided edital PDF and request extraction for a given cargo and disciplina.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: m1-edital-parser
Download link: https://github.com/Nunopdmp/mvp_ai/archive/main.zip#m1-edital-parser

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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