innorve-capability-graph

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.

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.

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.

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.

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.

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.