innorve-capability-graph

Map AI delivery capabilities across seven SDLC phases with owners and classifications.

Updated Apr 18, 2026

Search Tags:#architecture #mermaid #governance #sdlc #capability-graph #ai-delivery

Ready to run

npx skills add https://github.com/Innorve-Inc/innorve-method --skill innorve-capability-graph

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: innorve-capability-graph
Source: https://github.com/Innorve-Inc/innorve-method/tree/main/plugins/innorve-method/skills/innorve-capability-graph
Command: npx skills add https://github.com/Innorve-Inc/innorve-method --skill innorve-capability-graph

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill helps teams map current AI delivery capabilities across seven SDLC phases to identify ownership gaps, automation opportunities, and human-in-the-loop requirements, enabling honest planning and governance.

Core Features & Use Cases

Coaches teams through Discover, Define, Build, Verify, Release, Operate, Learn to produce a Mermaid Capability Graph and a textual Capability Map.
Provides a non-authoritative coaching workflow to surface owners, AI/human classification, and gaps before any automation is proposed.
Use cases include onboarding teams starting AI-enabled delivery, auditing existing capabilities, and aligning stakeholders on where AI adds value and where human oversight is required.

Quick Start

Identify a named scope (team/product), enumerate the seven phases with their capabilities and owners, specify AI vs human involvement for each, and generate both a Mermaid capability-graph and a capability-map document.

Frequently Asked Questions about innorve-capability-graph

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

FAQPage Schema

How do I map AI delivery capabilities across SDLC phases?▼

Map AI delivery capabilities by providing a named scope and listing capabilities per SDLC phase with owners and AI/human classification. This generates a Mermaid capability-graph and a capability-map document to reveal ownership, gaps, and automation opportunities.

What is a capability graph and when do I need one for software delivery?▼

A capability graph is a Mermaid diagram mapping current AI delivery capabilities across seven SDLC phases. You need one when onboarding teams for AI-enabled delivery, auditing existing capabilities, or aligning stakeholders on human-in-the-loop requirements.

How do I identify ownership and automation gaps in my AI delivery workflow?▼

Identify ownership and automation gaps by enumerating capabilities across the Discover, Define, Build, Verify, Release, Operate, and Learn phases with their owners and AI/human classification. The output capability-map document highlights these gaps for governance planning.

Can I generate a Mermaid diagram for AI vs human task classification?▼

Yes, you can generate a Mermaid diagram for AI vs human task classification by providing a named scope and listing capabilities per SDLC phase. The skill outputs a Mermaid capability-graph distinguishing AI from human involvement across the delivery workflow.

Does this capability mapping approach require any specific dependencies?▼

No specific dependencies are required to map delivery capabilities. You only need to provide a named scope and a list of capabilities per phase with owners and AI/human classification to generate the Mermaid graph and capability-map document.

When should I not use an automated AI delivery capability map?▼

Avoid using automated capability mapping when you need authoritative governance enforcement, as this skill provides a non-authoritative coaching workflow. It is designed to surface owners and gaps before any automation is proposed, not to enforce policies.