Architecture Review

Community

thiientv

architecture-review

Reviews an existing codebase for structural friction, unclear ownership, leaky or shallow interfaces, excessive coupling, misplaced state, poor testability, and risky dependency direction, then prioritizes evidence-backed improvement candidates. Use for architecture audits, modularization, modernization, or recurring cross-cutting change pain. Not for designing one new interface, simplifying a local function, or fixing a reproduced bug.

Overview

Publisher	thiientv
Repository	`godmode`
Skill name	`architecture-review`
Stars	99
Forks	76
Bundled files	2
License	MIT
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.
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 thiientv on GitHub. Read the source before you install it.

Installation

Install the Architecture Review 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.
https://github.com/thiientv/godmode/tree/main/skills/architecture-review
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/thiientv/godmode.git /tmp/godmode
mkdir -p .claude/skills
cp -r /tmp/godmode/skills/architecture-review .claude/skills/architecture-review

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

Use it in TypingMind

Enable Architecture Review 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 Architecture Review 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 Architecture Review 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.

Architecture Review

Find structural changes that reduce the cost and risk of likely future work. Do not produce a generic best-practices checklist.

Scope the review

Use codebase-orientation first when ownership and execution paths are not known. Focus on the user-named subsystem or on evidence-backed hotspots from history, incidents, change coupling, and test failures. Read relevant ADRs and domain vocabulary before proposing alternatives.

Inspect structural pressure

Look for:

behavior spread across many callers instead of owned behind one interface;
interfaces that expose nearly as much complexity as they hide;
dependency cycles, unstable direction, duplicated policy, and hidden global state;
abstractions with one hypothetical implementation or pass-through layers;
tests that require internal knowledge because the public seam is wrong;
concepts named inconsistently across code, data, and product language.

Apply the deletion test: if removing a module only moves its complexity into every caller, it may be earning its place; if complexity disappears, it may be ceremony. Use candidate-report.md to compare current and proposed ownership.

Prioritize, do not redesign silently

Rank candidates by observed friction, expected locality/leverage, migration risk, reversibility, and relevance to upcoming work. Include a smallest useful change and explicit non-goals. Mark speculative ideas as speculative.

Hand an approved candidate to solution-design and implementation-planning; use code-simplification when no architectural boundary changes.

Completion condition

The report ties each candidate to repository evidence, shows current and proposed ownership, respects existing decisions or explicitly challenges them, and recommends a bounded first move without implementing an unapproved redesign.

Bundled files

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

agents/openai.yaml1 KB
references/candidate-report.md1 KB

Frequently asked questions

What does the Architecture Review AI skill do?

Why use Architecture Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thiientv/godmode/tree/main/skills/architecture-review. 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 Architecture Review?

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 Architecture Review?

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

Is the Architecture Review AI skill free?

Yes. It is published on GitHub by thiientv 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Architecture Review

Scope the review

Inspect structural pressure

Prioritize, do not redesign silently

Completion condition

Bundled files

Frequently asked questions

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