tutela-evidencia

Generate tutela petitions from evidence using CPC 311 legal principles.

5|2|Updated Jun 15, 2026
One-click install
npx skills add https://github.com/sbroggioadv/civel-adv-os-marketplace --skill tutela-evidencia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tutela-evidencia
Source: https://github.com/sbroggioadv/civel-adv-os-marketplace/tree/main/civel-adv-os/skills/tutela-evidencia
Command: npx skills add https://github.com/sbroggioadv/civel-adv-os-marketplace --skill tutela-evidencia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of drafting tutela petitions based on evidence, reducing the time and complexity of legal document preparation.

Core Features & Use Cases

  • Evidence-Based Petition: Automatically generates tutela petitions with evidence from CPC 311.
  • Hipotese Identification: Identifies which of the four tutela hypotheses applies to a given case.
  • Liminar Assessment: Determines if a liminar is applicable based on the case's specifics.
  • Use Case: For legal professionals needing to draft a tutela petition quickly and accurately, ensuring all evidence is properly accounted for.

Quick Start

Generate a tutela petition for evidence-based tutela using the "tutela-evidencia" skill.

Frequently Asked Questions about tutela-evidencia

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

FAQPage Schema
How do I automate the drafting of a tutela petition using evidence from CPC 311?

Tutela petition automation requires structured data input and legal document analysis. The system applies CPC 311 principles to generate the petition, identifying the applicable tutela hypothesis and determining liminar applicability based on your evidence.

What is the process for identifying the correct tutela hypothesis for a legal case?

Identifying the correct tutela hypothesis involves analyzing your specific legal documents and structured case data. The system evaluates the evidence to automatically determine which of the four tutela hypotheses applies to your petition under CPC 311.

How does evidence-based law determine if a liminar is applicable in legal document automation?

Evidence-based law determines liminar applicability by analyzing the specifics of your case data. The system evaluates the provided evidence and legal documents to assess whether the criteria for a liminar are met under the relevant CPC 311 principles.

What structured data and legal documents do I need to prepare for tutela petition generation?

Tutela petition generation requires structured data input and supporting legal documents for analysis. You must provide the relevant evidence and case specifics so the system can accurately apply CPC 311 principles and identify the correct tutela hypothesis.

Are there limitations when using legal document automation for evidence-based tutela petitions?

Limitations include the strict requirement for structured data input and comprehensive legal document analysis. The system relies entirely on the provided evidence to determine the tutela hypothesis and liminar applicability, meaning incomplete data will impact the generated petition.