architecture-extract

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

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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

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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

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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

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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.