Skill Dependency Graph

Map skill dependencies by parsing configuration and markdown files to derive edges from explicit dependencies and shared memory interactions. This generates a navigable Mermaid diagram with category drill-downs to visualize shared state coupling.

Detect dependency changes across releases using input fingerprinting. The process compares input hashes and skips rewriting documentation when nothing materially changes, opening a PR only when architecture or enabled coverage shifts.

Generate navigable Mermaid diagrams from skill documentation by linting the diagram structure and adding GitHub click-through links back to each source file. This creates structured multi-diagram output with enabled overlays for operational review.

Dependency mapping works with shared memory topics by deriving shared-state edges. It detects when multiple skills interact through shared memory, surfacing hidden coupling that might otherwise be missed during reviews.

You can use dependency graph outputs for category coverage assessment by applying the navigable topology map to operational governance workflows. The structured multi-diagram output with category drill-downs helps review architecture and spot gaps.