Convert raw project structure into clear architectural understanding — module boundaries, data flows, service relationships, and architectural patterns. Activate after codebase-scan during Bootstrap.
Installs into .claude/skills of the current project.
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---
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: ELv2
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: 2026-02-26
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
1. Analyze module boundaries and layering
2. Identify data flow and service interactions
3. Detect architectural patterns (monolith, services, event-driven, etc.)
4. 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.**
