What problem does it solve? Agents under time pressure sample Architecture Decision Records with keyword greps instead of reading the full corpus, leading to re-proposing already-rejected decisions or building on superseded ones. This Skill forces complete ingestion of every ADR and produces a verifiable decision inventory as the completion artifact. ## Core Features & Use Cases - Full corpus ingestion: Locates and reads every ADR in docs/adr/ (or the repo's documented equivalent) with no keyword sampling. - Decision inventory table: Builds a structured table with ID, title, status, one-line decision, and supersession relationships for each ADR. - Drift flagging: Surfaces contradictions, stale statuses, and missing supersession banners discovered while reading. - Use Case: Before starting a large refactor or architecture session, run this Skill to get an explicit "Read N/N ADRs" statement plus the inventory table, ensuring the architecture work is grounded in all prior decisions. ## Quick Start Ask the AI to read all the ADRs in this repository and produce a decision inventory before starting the architecture session.