What problem does it solve? When you have many Skills, Agents, Commands, and Plugins installed, it is hard to know which ones actually fit your current project and which are off-stack noise. This Skill audits the installed inventory against your project's type and tech stack, then produces a ranked HIGH / MED / LOW relevance report so you know which tools to reach for and which to deprioritise. ## Core Features & Use Cases - Consumer-first inventory enumeration: Walks user-level installs, the installed-plugins registry, plugin-bundled items, and repo-local overrides in a fixed order so nothing installed is missed. - Judgment-led ranking: Assigns HIGH / MED / LOW tiers with a one-line rationale keyed to project type, stack, and sub-agent mapping, with kit-native items ranked first by default. - Overlay report generation: Writes a dated relevance overlay under _00-Project-Management/97-AI-Reference/ conforming to the ADR-0029 schema, including explicit gap markers for referenced-but-uninstalled items. - Use Case: After installing several new plugins, run the audit to refresh the overlay and see which tools match your Next.js web-app and which are off-stack, then use the HIGH-ranked agents as your preferred executor pool. ## Quick Start Ask the assistant to rank my installed AI tools for this project and write the relevance overlay using /tandem:curate-toolkit.