Architecture Extract

Architecture Extract is an AI Engineering skill for Claude Code, published by Fr-e-d in GAAI-framework.

161 stars27 forkson Fr-e-d/GAAI-frameworkAdded 2026/09/08Repository updated 2026/09/04

agentic-codingai-agentsai-codingai-developer-toolsai-governanceai-memory-systemautonomous-agentsclaude-codecodex-clicontext-engineeringcursordevtoolsgemini-cliopencodevibe-codingwindsurf

Install in seconds

Install Architecture Extract

Copy Architecture Extract into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/architecture-extract ~/.claude/skills/architecture-extract

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/digipulse-engineering/GAAI-framework.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .gaai/core/skills/cross/architecture-extract/SKILL.md in Fr-e-d/GAAI-framework
Installs to: ~/.claude/skills/architecture-extract
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3670 skills

What Architecture Extract does

Architecture Extract turns a scanned codebase into a concise view of module boundaries, data flows, service relationships, and the architectural pattern. Use it during bootstrap before memory ingestion.

Architecture Extract is cataloged under AI Engineering on DirSkills. Architecture Extract comes from a repository tagged agentic-coding, ai-agents, ai-coding, ai-developer-tools and ai-governance.

Documentation

README

Excerpt

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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Architecture Extract

What else does Fr-e-d publish alongside Architecture Extract?
Architecture Extract is one of 25 skills that DirSkills catalogs from Fr-e-d/GAAI-framework, the repository it ships in. Its siblings there include Abort-Safe Handler, Ambiguity Detector and Approach Evaluation. Each one is a separate skill with its own page in this directory, installs the same way Architecture Extract does, and is maintained by Fr-e-d in that same repository. The rest of the collection is listed on the Fr-e-d/GAAI-framework page.
How does Architecture Extract compare to other AI Engineering skills?
Architecture Extract ranks #3409 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Architecture Extract against them. Open each page to compare what they document and how they install.