What problem does it solve?
This Skill helps teams create a clear, end-to-end mapping between AI agents and the plugins/skills that implement them, so architecture decisions and delivery priorities stay traceable and complete.
Core Features & Use Cases
- Architecture diagram generation: Produces an ASCII architecture map that reflects platform name, user segments, plugin collections, and infrastructure layers.
- Module-to-plugin mapping matrix: Builds per-module tables linking exact brainmap agents to associated plugins, skill lists, and capability tags.
- Coverage and quality analysis: Calculates coverage of skills by agent association and lists uncovered skills for review.
- Dependency topology and feature matrix: Generates Mermaid dependency graphs and a platform feature support matrix for plugins.
- Cross-domain flow documentation: Writes key collaboration flows with consistent agent references and Mermaid sequence diagrams.
- Implementation priority ranking: Outputs an ordered plan (P0/P1/...) using business impact, technical complexity, dependency order, and data readiness.
Quick Start
Generate the platform agent-plugin mapping by ensuring brainmap documents, domain-map/plugin workspaces, skill-map files, and target skill implementations exist, then run this skill to write agent-plugin-mapping.md to the configured output directory.
