What does the Improve Codebase Architecture AI skill do?
在代码库中发现架构"深化"机会——将浅模块变成深模块的重构,提升可测试性和 AI 可导航性。与 architecture-advisor 互补:architecture-advisor 设计新架构,本技能改善现有代码库结构。触发词:改进代码库架构、架构深化、找重构机会、模块耦合太紧、难以测试、代码难以理解、架构改进、improve architecture、refactor 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/ProgrammerAnthony/Expert-Coding-Harness/tree/master/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 ProgrammerAnthony 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.