Improve Architecture

CommunityPopular

rohitg00

improve-architecture

Audit an area of the codebase and propose the smallest structural moves that improve it - untangle boundaries, kill duplication, fix seams, break cycles. Produces a prioritized plan and decision records, not a rewrite. Use when a codebase feels tangled, hard to change, or is becoming a ball of mud, or when asked to improve or refactor architecture.

Overview

Publisher	rohitg00
Repository	`pro-workflow`
Skill name	`improve-architecture`
Stars	2.9K
Forks	286
Bundled files	Instructions only
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by rohitg00 on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/rohitg00/pro-workflow.git /tmp/pro-workflow
mkdir -p .claude/skills
cp -r /tmp/pro-workflow/skills/improve-architecture .claude/skills/improve-architecture

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Improve 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 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 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-architecture

Invest in the shape of the system a little at a time rather than paying for a rewrite later. This skill diagnoses and proposes; it does not rewrite on its own.

Method

Map first. Get the current shape before judging it - entry points, modules, data flow, who calls whom. Reuse module-map for the one-screen view; do not skip to opinions.
Find the strain. Look for the load-bearing problems, not style nits:
- God modules that everything imports and nothing can change safely.
- Leaky boundaries - a module reaching into another's internals instead of its surface.
- Duplicated logic that drifts (the same rule implemented three ways).
- Wrong seams - the code is split where it does not bend and fused where it does.
- Cyclic dependencies.
- A shape that fights the domain (see domain-modeling - boundaries in code should track boundaries in the language).
Propose the smallest move. For each problem, the least change that relieves it: extract a boundary, collapse a duplicate, invert a dependency, move a seam. Prefer a sequence of safe steps over one big cut.
Rank by leverage. Order the moves by pain relieved over effort. Say which are safe now and which need a test net first (pair with tdd).
Record the big calls. For a structural change a future reader would question, write a decision record in docs/decisions/NNNN-slug.md: context, choice, alternatives rejected, why.

Guardrails

Diagnose, do not rewrite. The deliverable is a plan the user approves before any code moves.
No churn for taste. A move must relieve a named strain; "cleaner" is not a reason.
Three similar lines beat a premature abstraction - do not trade duplication for indirection unless the duplication actually drifts.
Keep behavior fixed. Structural moves are refactors; land them behind green tests.

Output

A prioritized list: each item is the problem, the smallest move, the risk, and whether it needs a test net first. Plus decision records for the big moves. No code changes until the user picks what to do.

Frequently asked questions

What does the Improve Architecture AI skill do?

Why use Improve Architecture on TypingMind?

Because you install it once and use it with any model. Improve 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 Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/pro-workflow/tree/main/skills/improve-architecture. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Improve 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 Architecture?

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

Is the Improve Architecture AI skill free?

It is published on GitHub by rohitg00. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

improve-architecture

Method

Guardrails

Output

Frequently asked questions

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