What problem does it solve?
Sensemaking documentation can drift from the actual architecture and published registries, causing teams and agents to act on outdated vocabulary or incompatible schemas.
Core Features & Use Cases
- Audit documentation against canonical sources: Cross-checks CONTEXT.md glossary, skill-registry.yaml, artifact-contracts.yaml, and README.md to find vocabulary drift and contract drift.
- Challenge with concrete mismatch evidence: Flags renamed skills, stale terms, and schema/section-count inconsistencies between templates and the declared PRD.
- User-gated resolution with constrained mutation: Requires explicit approval for registry/contract schema changes and restricts casual edits to glossary terms in CONTEXT.md, avoiding side effects to skill logic or execution behavior.
- Architectural alignment support: Prompts ADR creation for significant architectural changes after resolving drift.
Quick Start
Ask the AI to run a documentation reconciliation audit for the sensemaking ecosystem and present the mismatches for your approval before updating CONTEXT.md or any registries/contracts.