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Read architecture config to map layers, trace slices, and validate rules.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "architecture-contract" yet — see the docs or source repo.
Read arc.yaml in the current workspace and list the architectural layers, each layer's responsibility, and the allowed dependencies between modules.
A clear layer map, responsibility summary, and dependency constraint list.
Using arc.yaml, trace the 'order creation' feature slice, including involved modules, upstream and downstream dependencies, and which architecture layers it crosses.
A dependency path, related modules, and an explanation of cross-layer relationships for the feature slice.
Check whether the current code structure violates the architectural rules defined in arc.yaml, and identify violating modules, violation types, and suggested fixes.
Architecture validation results with a list of violations and targeted remediation suggestions.
Let MCP-compatible AI agents securely read and write architecture-map diagrams.
Navigate codebases with architecture-aware symbol lookup and layered structural analysis.
Manage project architecture, modules, and data flows locally with full privacy.
Give AI coding agents structured access to project architecture and decisions.
Run YAML plans step by step with state tracking and token optimization.
Automatically save and restore AI sessions to preserve architecture context and decisions.