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Improve Codebase Architecture

Community
stevesolun
improve-codebase-architecture

Analyze a codebase for high-leverage architectural improvements and explain evidence, tradeoffs, and next steps. Use explicitly for architecture audits or deep-module refactoring opportunities.

Overview

Publisherstevesolun
Repositoryctx
Skill nameimprove-codebase-architecture
Stars
588
Forks
69
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by stevesolun on GitHub. Read the source before you install it.

Installation

Install the Improve Codebase Architecture AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/stevesolun/ctx/tree/main/.agents/skills/improve-codebase-architecture
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/stevesolun/ctx.git /tmp/ctx
mkdir -p .claude/skills
cp -r /tmp/ctx/.agents/skills/improve-codebase-architecture .claude/skills/improve-codebase-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Improve Codebase Architecture in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Improve Codebase Architecture on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Improve Codebase Architecture is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

Find evidence

Consider:

  • interfaces that expose nearly as much complexity as their implementations;
  • behavior spread across modules that change together;
  • dependency seams that leak internal details;
  • testing that bypasses the real call path because no stable seam exists; and
  • repeated wrappers or indirection that add little leverage.

Treat these as prompts for investigation, not violations. Apply the deletion test where useful: would removing a layer concentrate complexity behind a better interface, or merely move it elsewhere?

Present candidates

For each material candidate, cite the affected code and explain:

  • the observed friction;
  • the structural change being considered;
  • expected benefits and tradeoffs;
  • evidence that the seam is real rather than hypothetical;
  • test impact and migration risk; and
  • conflicts with existing decisions.

Rank recommendations by evidence and likely leverage. Keep speculative ideas clearly labeled and avoid proposing a wide refactor solely for aesthetic consistency.

Use prose, a compact table, or diagrams according to what best communicates the relationships. When a visual HTML artifact is useful and authorized, load the HTML report guide.

Explore a selected candidate further only when the user requests it or the current task includes design. Update domain records or ADRs only when those artifacts are in scope and the decision is durable enough to justify them.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Improve Codebase Architecture AI skill do?

Analyze a codebase for high-leverage architectural improvements and explain evidence, tradeoffs, and next steps. Use explicitly for architecture audits or deep-module refactoring opportunities.

Why use Improve Codebase Architecture on TypingMind?

Because you install it once and use it with any model. Improve Codebase Architecture is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Improve Codebase Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/stevesolun/ctx/tree/main/.agents/skills/improve-codebase-architecture. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Improve Codebase Architecture?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Improve Codebase Architecture?

As many as you like. As long as a model supports skills, you can use Improve Codebase Architecture with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Improve Codebase Architecture AI skill free?

Yes. It is published on GitHub by stevesolun under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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