| name | architecture-extract |
| description | Convert raw project structure into clear architectural understanding — module boundaries, data flows, service relationships, and architectural patterns. Activate after codebase-scan during Bootstrap. |
| license | MIT |
| compatibility | Works with any filesystem-based AI coding agent |
| metadata | {"author":"gaai-framework","version":"1.0","category":"cross","track":"cross-cutting","id":"SKILL-ARCHITECTURE-EXTRACT-001","updated_at":"2026-02-26T00:00:00.000Z","status":"stable"} |
| inputs | ["codebase_tree","key_files_list"] |
| outputs | ["architecture_insights"] |
Architecture Extract
Purpose / When to Activate
Activate:
- After
codebase-scan during Bootstrap initialization
- When architectural understanding is needed before memory ingestion
Process
- Analyze module boundaries and layering
- Identify data flow and service interactions
- Detect architectural patterns (monolith, services, event-driven, etc.)
- Produce a concise architecture summary
Outputs
architecture_insights — concise summary including:
- System structure overview
- Module boundaries and responsibilities
- Key data flows
- Architectural pattern identified
- Major dependencies
- Notable constraints or risks
Quality Checks
- System structure is understandable in one view
- Major dependencies are explicit
- Architecture style is clearly identified
- Output is suitable for ingestion via
memory-ingest
Non-Goals
This skill must NOT:
- Make architectural recommendations
- Propose changes
- Read deeply into implementation details
Converts terrain map into architectural understanding. Feeds directly into memory-ingest.
