What problem does it solve? When a codebase drifts over time, an agent's mental model of the project structure becomes stale, leading to wasted reads and wrong assumptions. This Skill regenerates a fresh, coarse architecture map so the agent can orient itself and scope its reads accurately. ## Core Features & Use Cases - Language-agnostic project detection: Identifies the ecosystem from manifests like package.json, pyproject.toml, Cargo.toml, go.mod, and pom.xml, then locates conventional source roots. - Coarse structural mapping: Describes top-level directories, major components by role, and project conventions while ignoring generated and vendor directories such as node_modules, dist, and target. - Review-safe output: Writes only memory/ARCHITECTURE.md, marks it machine-generated and provisional, and stops without committing so a human can review the diff. - Use Case: After a large refactor moves modules around, run this Skill to rebuild the architecture map so subsequent agent sessions navigate the new layout correctly. ## Quick Start Regenerate the architecture map of this repository into memory/ARCHITECTURE.md and stop for my review.