colombia-conflict

Retrieve findings, statistics, and recommendations from the Colombian Truth Commission final report.

3|2|Updated Mar 17, 2026

Search Tags:#non-repetition #colombia #truth commission #peacebuilding #knowledge engine #transitional justice

Ready to run

npx skills add https://github.com/broomva/skills --skill colombia-conflict

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: colombia-conflict
Source: https://github.com/broomva/skills/tree/main/skills/knowledge/colombia-conflict
Command: npx skills add https://github.com/broomva/skills --skill colombia-conflict

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill provides an intelligent, queryable interface over the massive 24-volume Colombian Truth Commission final report, allowing agents to retrieve sourced facts, statistics, and recommendations without manual searching.

Core Features & Use Cases

Two-Tier Retrieval: Combines a dense catalog projection for fast routing with body-grep fallback for deep, verbatim grounding.
Policy Alignment: Scores proposed interventions against the report's 67 recommendations to check for alignment with the goal of non-repetition.
Use Case: When drafting a peacebuilding policy, use this skill to verify if your proposal aligns with the report's recommendations on drug policy or land reform, and extract verbatim quotes to ground your arguments.

Quick Start

Use the colombia-conflict skill to load information regarding the responsibility of armed actors in the conflict.

Frequently Asked Questions about colombia-conflict

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

FAQPage Schema

How do I retrieve specific statistics and findings from the Colombian Truth Commission report?▼

You can retrieve specific findings from the Colombian Truth Commission report by executing the cc.py Python 3 engine, which uses a two-tier retrieval architecture combining dense catalog projection and body-grep fallback to source verbatim facts.

Can I check if a proposed peacebuilding policy aligns with the Truth Commission's recommendations for non-repetition?▼

Yes, you can check peacebuilding policy alignment by scoring proposed interventions against the Truth Commission's 67 recommendations using the knowledge engine, verifying alignment with the goal of non-repetition.

What is transitional justice knowledge retrieval and how does it work with large conflict reports?▼

Transitional justice knowledge retrieval works by querying a knowledge engine that combines fast catalog routing with deep verbatim grounding, allowing agents to extract sourced facts from massive conflict reports without manual searching.

Do I need Python 3 to query the Truth Commission final report findings?▼

Yes, you need Python 3 to execute the cc.py engine, which performs the two-tier retrieval and alignment scoring required to query the Truth Commission final report findings and recommendations.

How do I extract verbatim quotes from the Colombian Truth Commission report to ground policy arguments?▼

You extract verbatim quotes by running the knowledge engine's body-grep fallback retrieval, which searches the 24-volume Colombian Truth Commission report deeply to ground policy arguments in sourced text.

What's the best way to verify if a land reform proposal aligns with the Truth Commission's drug policy recommendations?▼

The best way to verify land reform or drug policy proposal alignment is to use the knowledge engine to score your intervention against the report's 67 recommendations, checking consistency with non-repetition goals.