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QualityPython

Deep Module Refactor

Deep Module Refactor is a Quality skill for Claude Code, published by zebbern in claude-code-guide.

4.6K stars459 forkson zebbern/claude-code-guideAdded 2026/08/16Repository updated 2026/08/15

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Install in seconds

Install Deep Module Refactor

Copy Deep Module Refactor 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/zebbern/claude-code-guide/tree/main/skills/deep-module-refactor ~/.claude/skills/deep-module-refactor

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/zebbern/claude-code-guide.git

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

In this catalog

Source file: skills/deep-module-refactor/SKILL.md in zebbern/claude-code-guide
Installs to: ~/.claude/skills/deep-module-refactor
Collection: One of 25 skills cataloged from this repository
Category: Quality — 1354 skills

What Deep Module Refactor does

Deep Module Refactor explores a codebase like an AI would, surfaces architectural friction, and proposes module-deepening refactors as GitHub issue RFCs to improve testability and AI-navigability.

Deep Module Refactor is cataloged under Quality on DirSkills. Deep Module Refactor comes from a repository tagged ai, ai-agent, ai-agent-tools, anthropic-claude and claude.

Documentation

README

Excerpt

Improve Codebase Architecture

Explore a codebase like an AI would, surface architectural friction, discover opportunities for improving testability, and propose module-deepening refactors as GitHub issue RFCs.

A deep module (John Ousterhout, "A Philosophy of Software Design") has a small interface hiding a large implementation. Deep modules are more testable, more AI-navigable, and let you test at the boundary instead of inside.

Process

1. Explore the codebase

Use the Agent tool with subagent_type=Explore to navigate the codebase naturally. Do NOT follow rigid heuristics — explore organically and note where you experience friction:

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

Frequently asked about Deep Module Refactor

What else does zebbern publish alongside Deep Module Refactor?
Deep Module Refactor is one of 25 skills that DirSkills catalogs from zebbern/claude-code-guide, the repository it ships in. Its siblings there include API Fuzzing for Bug Bounty, API Shape Explorer and AWS Penetration Testing. Each one is a separate skill with its own page in this directory, installs the same way Deep Module Refactor does, and is maintained by zebbern in that same repository. The rest of the collection is listed on the zebbern/claude-code-guide page.
How does Deep Module Refactor compare to other Quality skills?
Deep Module Refactor ranks #322 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. 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 Deep Module Refactor against them. Open each page to compare what they document and how they install.

More from zebbern/claude-code-guide

Deep Module Refactor is one of 25 skills cataloged on DirSkills from zebbern/claude-code-guide.

See all 25 skills →

API Fuzzing for Bug Bounty

API Fuzzing for Bug Bounty provides techniques for testing REST, SOAP, and GraphQL APIs during bug bounty hunting and penetration testing. Use it to discover vulnerabilities like IDOR, authentication bypass, SQL injection, SSRF, and GraphQL-specific issues.

API Shape Explorer

API Shape Explorer generates multiple radically different interface designs for a module using parallel sub-agents, then compares them to help you choose the best API shape. Use it when designing APIs, exploring interface options, or comparing module shapes.

AWS Penetration Testing

AWS Penetration Testing guides security assessment of Amazon Web Services environments, including IAM enumeration, privilege escalation, SSRF to metadata, S3 bucket exploitation, and Lambda attacks. Use it when asked to pentest AWS or test cloud infrastructure security.

Academic Paper Reviewer

Academic Paper Reviewer simulates academic peer review across Originality, Methodology, Results, and Writing, providing Major and Minor Revision recommendations with actionable feedback. Use it when asked to review a paper or simulate peer review.

Active Directory Attacks

Active Directory Attacks provides techniques for attacking Microsoft Active Directory environments, covering reconnaissance, credential harvesting, Kerberos attacks, lateral movement, and privilege escalation for red team operations and penetration testing.

Audit Flow

Audit Flow traces system flows interactively across code, API, auth, data, and network layers with SQLite persistence and Mermaid export. Use it for security audits, compliance documentation, flow tracing, debugging, architecture reviews, or incident post-mortems.

More Quality skills

Deep Module Refactor is one of 1354 Quality skills cataloged on DirSkills, ranked #322 by stars among them.

Browse all Quality skills →

Benchmark

Benchmark measures performance baselines, detects regressions before and after PRs, and compares stack alternatives for pages, APIs, and builds.

Benchmark Optimization Loop

Benchmark Optimization Loop turns vague performance goals into a bounded, measured optimization process. Use it when asked to make something faster, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.

API Design Patterns

API Design Patterns provides conventions and best practices for designing consistent REST APIs. Use it when creating endpoints, reviewing contracts, handling pagination, error responses, status codes, filtering, or versioning.