What documentation artifacts does it produce?

It produces architecture documentation (.teamcraft/architecture.md), component-level rules (.claude/rules/), ADRs (.teamcraft/adrs/), and optimized CLAUDE.md files.

Can it compare my code against internal company standards?

Yes, it can load conventions from local files or Confluence and produce a delta report comparing what the team requires versus how the repo is currently implemented.

How does it handle very large codebases?

It uses a progressive analysis approach, starting with a 'Quick Pass' via a background agent to avoid consuming your main conversation context, then dives deeper into specific areas as you direct it.

Does this skill modify my code automatically?

No, the skill follows a strict read-only constraint. It analyzes and presents findings first, and only writes or edits files after you provide explicit approval for each artifact.

Codebase Architecture Analyzer

Name: Codebase Architecture Analyzer
Author: codingthefuturewithai

bycodingthefuturewithai

0•

Learning & Documentation

Systematically analyzes existing codebases to generate comprehensive architecture documentation, component rules, and architectural decision records.

The Codebase Architecture Analyzer is a specialized skill designed for developers inheriting or auditing existing codebases, providing a structured approach to understanding complex projects. It leverages specialized agents to perform multi-phase analysis, generating vital documentation like architecture maps, component-specific rules, and architectural decision record (ADR) candidates. By automating the extraction of hidden patterns and comparing current implementations against team conventions, it creates a solid foundation for long-term maintenance and team alignment while operating under a strict read-only-until-approved constraint.

Key Features

01Automated architecture mapping and descriptive documentation

02Comparison of repository practices against external team conventions

03Architectural Decision Record (ADR) extraction and candidate surfacing

04CLAUDE.md health auditing and optimization

050 GitHub stars

06Component-level rule generation for non-obvious patterns

Use Cases

01Standardizing architectural documentation across a portfolio of repositories

02Aligning existing codebases with company-wide coding standards and conventions

03Onboarding to a legacy or inherited brownfield project efficiently

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add codingthefuturewithai/claude-code-primitives analyze-codebase

For use in Claude.ai and ChatGPT

Key Features

01Automated architecture mapping and descriptive documentation

02Comparison of repository practices against external team conventions

03Architectural Decision Record (ADR) extraction and candidate surfacing

04CLAUDE.md health auditing and optimization

050 GitHub stars

06Component-level rule generation for non-obvious patterns

Use Cases

01Standardizing architectural documentation across a portfolio of repositories

02Aligning existing codebases with company-wide coding standards and conventions

03Onboarding to a legacy or inherited brownfield project efficiently

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add codingthefuturewithai/claude-code-primitives analyze-codebase

For use in Claude.ai and ChatGPT