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AI EngineeringPython

Improve Codebase Architecture

by stevesolun

Improve Codebase Architecture is an AI Engineering skill for Claude Code, published by stevesolun in ctx.

578 stars71 forkson stevesolun/ctxAdded 2026/08/25+1% in starsRepository updated 2026/08/24
agentsai-agentsanthropicautomationclaudeclaude-codecontext-managementdeveloper-toolsharnessknowledge-graphllmllm-wikimcpmicro-skillsobsidianreal-timerecommendation-engineskill-managementskillswiki
Install in seconds
Install Improve Codebase Architecture
Copy Improve Codebase Architecture 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/stevesolun/ctx/tree/main/.agents/skills/improve-codebase-architecture ~/.claude/skills/improve-codebase-architecture

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/stevesolun/ctx.git

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

In this catalog

Source file
.agents/skills/improve-codebase-architecture/SKILL.md in stevesolun/ctx
Installs to
~/.claude/skills/improve-codebase-architecture
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What Improve Codebase Architecture does

Improve Codebase Architecture analyzes a codebase for high-leverage structural changes and explains the evidence, tradeoffs, and next steps. Use it for architecture audits or when deep-module refactoring may reduce friction.

Improve Codebase Architecture is cataloged under AI Engineering on DirSkills. Improve Codebase Architecture comes from a repository tagged agents, ai-agents, anthropic, automation and claude.

Documentation

README

Improve Codebase Architecture

Look for architectural friction that a focused structural change could reduce. Favor improvements that shrink interfaces, concentrate related complexity, and make important behavior easier to test and understand.

Scope the investigation

Follow the user's named subsystem or pain point. Otherwise use recent changes, repeated maintenance friction, test difficulty, or dependency structure to select a useful area. Read relevant domain language and ADRs when present so recommendations respect intentional boundaries.

Use the codebase-design skill when its deep-module vocabulary will sharpen the analysis. Explore independently in parallel only when the repository is large enough to benefit and the lanes do not duplicate work.

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

Frequently asked about Improve Codebase Architecture

  • What else does stevesolun publish alongside Improve Codebase Architecture?

    Improve Codebase Architecture is one of 25 skills that DirSkills catalogs from stevesolun/ctx, the repository it ships in. Its siblings there include Ask Matt, Code Review and Codebase Design. Each one is a separate skill with its own page in this directory, installs the same way Improve Codebase Architecture does, and is maintained by stevesolun in that same repository. The rest of the collection is listed on the stevesolun/ctx page.

  • How does Improve Codebase Architecture compare to other AI Engineering skills?

    Improve Codebase Architecture ranks #1989 by stars among the 2451 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 Improve Codebase Architecture against them. Open each page to compare what they document and how they install.

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