How does it detect circular dependencies?

It constructs an adjacency-list dependency graph and utilizes Depth-First Search (DFS) to identify any recursive import paths that cause cycles.

What happens if a layer violation is found?

The skill flags the violation, identifies the specific files involved, and provides recommendations for resolution, such as moving shared logic to a lower layer.

What are architectural layer rules?

These are constraints where higher-level layers (like Orchestration) can import from lower-level layers (like Foundation), but lower layers are prohibited from importing upwards.

Can this skill analyze mixed-language projects?

Yes, it is specifically designed to parse dependencies in both Python modules and Shell scripts simultaneously.

Can I visualize the module relationships?

Yes, the skill can generate DOT or Mermaid format diagrams to provide a clear visual representation of your project's dependency graph.

Dependency Analyzer & Architecture Validator

Name: Dependency Analyzer & Architecture Validator
Author: ribatshepo

byribatshepo

0•

Developer Tools

Automates the detection of circular dependencies and validates architectural layer constraints across Python and shell scripts.

The Dependency Analyzer skill empowers developers to maintain clean, scalable software architectures by automatically mapping module relationships and identifying structural flaws. It scans source code to build comprehensive dependency graphs, detects circular imports via depth-first search, and enforces strict layering rules to prevent architectural rot. This skill is particularly valuable for large polyglot projects using shell and Python, ensuring that low-level foundations remain decoupled from high-level orchestration logic while providing visual graphs and coupling metrics for deep code audits.

Key Features

01Automated dependency parsing for both Python and Shell modules

020 GitHub stars

03Coupling analysis to identify 'God modules' and high-risk files

04Visual graph generation in Mermaid and DOT formats for audits

05Strict architectural layer validation for multi-tier applications

06Circular dependency detection using graph traversal algorithms

Use Cases

01Preventing circular import errors in complex Python or Shell projects

02Automating architectural compliance checks during code reviews

03Refactoring a monolithic codebase into a clean, layered architecture

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ribatshepo/auto-orchestrate dependency-analyzer

For use in Claude.ai and ChatGPT

Key Features

01Automated dependency parsing for both Python and Shell modules

020 GitHub stars

03Coupling analysis to identify 'God modules' and high-risk files

04Visual graph generation in Mermaid and DOT formats for audits

05Strict architectural layer validation for multi-tier applications

06Circular dependency detection using graph traversal algorithms

Use Cases

01Preventing circular import errors in complex Python or Shell projects

02Automating architectural compliance checks during code reviews

03Refactoring a monolithic codebase into a clean, layered architecture

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ribatshepo/auto-orchestrate dependency-analyzer

For use in Claude.ai and ChatGPT