aig-matrix

Generate TOGAF-inspired matrices and gap analyses from Markdown tracker inputs.

1|Updated Apr 22, 2026
One-click install
npx skills add https://github.com/pmalirz/aig-discovery-toolset --skill aig-matrix
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aig-matrix
Source: https://github.com/pmalirz/aig-discovery-toolset/tree/main/skills/aig-matrix
Command: npx skills add https://github.com/pmalirz/aig-discovery-toolset --skill aig-matrix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps architecture teams quickly translate siloed business capabilities and IT assets into a cohesive cross-reference map, exposing gaps, dependencies, and AI-driven optimization opportunities.

Core Features & Use Cases

  • Generate four TOGAF-inspired matrices (Capability → Application, Application → Data, Data → Technology, AI Opportunity Clusters) from tracker inputs.
  • Produce a gap analysis and executive-friendly diagrams to guide AI platform investments.
  • Enable clustering of AI opportunities to maximize ROI and minimize integration risk.

Quick Start

Generate the matrices and run a gap analysis against the tracker data to prepare an architecture report.

Frequently Asked Questions about aig-matrix

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

FAQPage Schema
How do I build TOGAF-style matrices from business capability and application data?

TOGAF-style matrices are built by cross-referencing business capabilities, applications, data domains, and technologies to reveal gaps and AI investment opportunities. This skill processes silver-layer Markdown inputs to generate four ready-to-use cross-reference matrices.

What is cross-referencing in enterprise architecture for gap analysis?

Cross-referencing in enterprise architecture maps relationships across business, application, data, and technology contexts to expose gaps and dependencies. It transforms siloed IT assets into a cohesive map for executive reporting and AI platform investments.

How do I identify AI investment opportunities from tracker data?

AI investment opportunities are identified by clustering capabilities and technologies from tracker data to maximize ROI and minimize integration risk. The process generates an AI-opportunity cluster map from structured inputs to guide deployment-ready architecture decisions.

Do I need structured Markdown inputs to generate enterprise architecture matrices?

Structured Markdown inputs are required to generate enterprise architecture matrices. The skill enforces structured silver-layer inputs from assessment data and trackers to ensure accurate cross-referencing across business, application, data, and technology layers.

Can I use tracker data to map application to data domain relationships?

Tracker data can be used to map application to data domain relationships. The skill cross-references tracker inputs to produce four TOGAF-inspired matrices including Application → Data and Capability → Application mappings for gap analysis.

What are the limitations of cross-referencing siloed IT assets for gap analysis?

Cross-referencing siloed IT assets requires structured inputs and does not work with unstructured data. The skill depends on silver-layer Markdown inputs from prior assessments to accurately generate matrices and gap analyses for enterprise architecture reporting.