Project Context

在领域约束、仓库质量标准、阶段、约定和外部资源访问方式得到记录之前，将项目上下文标记为未配置。在项目专属上下文尚未配置时使用。

Because you install it once and use it with any model. Project Context 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.

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-zh-CN/project-context. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

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.

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

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

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.

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.