generate-matrix

Map MinEduc destrezas to editorial units, indicators, and taxonomy levels in a JSON matrix.

Updated Mar 21, 2026

Search Tags:#traceability #taxonomy #generate #indicators #curriculum-matrix #destrezas

Ready to run

npx skills add https://github.com/JaviMontano/prolipa-plugins --skill generate-matrix

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: generate-matrix
Source: https://github.com/JaviMontano/prolipa-plugins/tree/main/scriba/skills/generate-matrix
Command: npx skills add https://github.com/JaviMontano/prolipa-plugins --skill generate-matrix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill creates a structured mapping between MinEduc destrezas and editorial content, enabling traceability, scalability, and consistent alignment across units.

Core Features & Use Cases

Maps every destreza to units, indicadores de logro, and taxonomy levels for end-to-end editorial planning.
Validates coverage, ensures traceability, and supports cross-unit alignment in a Sinapsis pipeline.
Produces a machine-readable JSON matrix that downstream components can consume for rubrics, guides, and resources.

Quick Start

Run the matrix generation workflow against the target asignatura and grado to produce a JSON matrix.

Frequently Asked Questions about generate-matrix

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

FAQPage Schema

How do I build a curriculum matrix from MinEduc destrezas?▼

To build a curriculum matrix from MinEduc destrezas, map every target destreza to editorial units, indicators, and taxonomy levels. This produces a machine-readable JSON matrix ensuring 100% coverage and bidirectional DZ traceability for your asignatura and grado.

What is bidirectional traceability in a curriculum matrix?▼

Bidirectional traceability in a curriculum matrix links every MinEduc destreza back to its source and forward to editorial units and indicators. This validation mechanism ensures complete coverage and tracks cross-cutting inserciones curriculares across the pipeline.

How do I map destrezas to indicadores de logro and taxonomy levels?▼

You map destrezas to indicadores de logro by running the matrix generation workflow against your target asignatura and grado. The process enforces validation against inputs and structures the mappings into a JSON matrix for editorial planning.

Can I include cross-cutting inserciones curriculares in a curriculum matrix?▼

Yes, the curriculum matrix enforces the inclusion of cross-cutting inserciones curriculares alongside the main destrezas mapping. This ensures the generated JSON matrix supports cross-unit alignment and comprehensive editorial coverage within a Sinapsis pipeline.

How do downstream components consume a generated curriculum matrix?▼

Downstream components consume the generated curriculum matrix through its machine-readable JSON format. This structured output enables downstream Sinapsis pipeline elements to automatically generate rubrics, guides, and resources based on the mapped destrezas and indicators.

Does this curriculum matrix generation validate coverage for all MinEduc destrezas?▼

Yes, the curriculum matrix generation validates coverage to ensure 100% of MinEduc destrezas are mapped for the specified asignatura and grado. It enforces validation against inputs to guarantee complete DZ traceability before producing the JSON output.