strategy-investigacion-profunda

Runs an 8-phase pipeline to research complex topics and generate Markdown/HTML reports with sourced citations.

20|15|Updated May 7, 2026

Search Tags:#research #investigation #information retrieval #reporting #data analysis

Ready to run

npx skills add https://github.com/iamasters-academy/iamasters-os --skill strategy-investigacion-profunda

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: strategy-investigacion-profunda
Source: https://github.com/iamasters-academy/iamasters-os/tree/main/skills-library/strategy/strategy-investigacion-profunda
Command: npx skills add https://github.com/iamasters-academy/iamasters-os --skill strategy-investigacion-profunda

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires markdown, requests, lxml, jsonschema, beautifulsoup4, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of conducting thorough research and generating detailed reports, saving time and ensuring quality in investigative work.

Core Features & Use Cases

In-depth Research: Execute a structured 8-phase pipeline for comprehensive analysis.
Multi-source Triangulation: Cross-verify information from multiple sources for accuracy.
Credibility Scoring: Assess the reliability of sources and evidence.
Markdown/HTML Output: Deliver reports in Markdown and HTML format for easy reading and sharing.
Use Case: When you need a detailed analysis for a critical decision, this skill can help you generate a well-researched report with citations and evidence.

Quick Start

Run the 'investigacion-profunda' skill with the command: 'investigacion-profunda "Topic to research" --mode [quick|standard|deep|ultradeep]'

Frequently Asked Questions about strategy-investigacion-profunda

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

FAQPage Schema

How do I generate a comprehensive research report with multi-source triangulation?▼

Generate a comprehensive research report by executing a structured 8-phase pipeline that performs multi-source triangulation and credibility scoring. This process cross-verifies information from multiple sources to ensure accuracy and assesses source reliability for complex decision-making.

What is multi-source triangulation and how does it work for information retrieval?▼

Multi-source triangulation is the process of cross-verifying information retrieved from multiple independent sources to ensure accuracy. It works by comparing evidence across sources and applying a credibility scoring system to assess the reliability of each data point before reporting.

Can I use Python and Beautiful Soup for web searching and data analysis to create reports?▼

Yes, you can use Python with Beautiful Soup, Requests, and LXML for web searching and data analysis. These dependencies handle information retrieval and text processing, enabling the generation of detailed research reports in Markdown and HTML formats.

Does this research pipeline support different depths of investigation?▼

Yes, the research pipeline supports different depths of investigation through quick, standard, deep, and ultradeep modes. You can select a mode when executing the command to match the required depth of analysis for your specific reporting needs.

What is the best way to output research reports in Markdown and HTML?▼

The best way to output research reports in Markdown and HTML is by using a structured pipeline that formats the final analysis into both file types. This approach ensures the generated reports include citations and evidence while remaining easy to read and share.