liyupi/ai-guide
ai-guide
程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Prompt 提示词大全、AI 知识百科（Agent Skills / RAG / MCP / A2A）、AI 编程教程（Harness Engineering）、AI 工具用法（Cursor / Claude Code / TRAE / Codex / Copilot）、AI 开发框架教程（Spring AI / LangChain）、AI 产品变现指南，帮你快速掌握 AI 技术，走在时代前沿。本项目为开源文档 aiguide，已升级为鱼皮 AI 导航网站
Usage guide
ai-guide is an open-source project around artificial-intelligence, chatgpt, claude with 16,441 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Implemented mainly in JavaScript, useful for judging integration effort in a similar stack.
- GitHub did not detect a repository license, so commercial permission is unconfirmed. Review the repository terms and any model weights, datasets, dependencies, or external services before commercial adoption.
- The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.
Best for
- Evaluating ai-guide for JavaScript AI workflows.
- Comparing a GitHub project with 16,441 stars and current repository activity.
Pros
- ai-guide has visible GitHub traction with 16,441 stars. Topics: ai, artificial-intelligence, chatgpt.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- No license was detected, so usage risk needs manual review.
Production readiness
ai-guide should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
GitHub did not report a license, which usually requires manual legal review before production use.
ai-guide architecture preview
ai-guide's main path starts at the entry surface, runs through Coding agent runtime, combines OpenAI / Claude / Gemini / DeepSeek, Repository context, GitHub / MCP tools, and returns Code changes / developer feedback.
Entry
Web / product entry
Users start from a web UI, hosted product surface, or browser-based workflow.
https://ai.codefather.cn
Runtime
Coding agent runtime
The runtime reads developer intent, inspects repository context, plans edits, and returns code-oriented actions.
coding workflow
Model
OpenAI / Claude / Gemini / DeepSeek
Model calls are likely routed through OpenAI, Claude, Gemini, DeepSeek based on README and topic signals.
OpenAI, Claude, Gemini, DeepSeek
Context
Repository context
Runtime state, user input, repository files, or configuration provide context for each task.
context signal
Tools
GitHub / MCP tools
Tool adapters let the runtime act outside the model through GitHub / MCP tools.
GitHub, MCP tools
Output
Code changes / developer feedback
The final result is code edits, explanations, repository actions, or developer-facing feedback.
coding output
Install tutorial
Before you install
- Node.js and the package manager used by the project
- A clean working directory for the first test run
Check the runtime environment
ai-guide uses a Node.js-style toolchain. Confirm the Node version and package manager before installing.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/liyupi/ai-guide.gitInstall or build dependencies
No extra setup command was detected. Check the README before adding custom configuration.
Adoption guidance and sources
Practical use cases
Knowledge-base assistant
Use it for document-grounded AI workflows where retrieval quality matters.
程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek /
This is one of the documented reasons to evaluate ai-guide before choosing a stack.
Focus area: ai
This is one of the documented reasons to evaluate ai-guide before choosing a stack.
SKILL project comparison
Compare ai-guide with similar projects before committing to a stack.
Before adopting
- Complete one clean-environment verification using the official ai-guide setup path.
- Review repository license, model weights, external services, and dependency terms for your use case.
- Check recent commits, release cadence, issue response, and documentation depth.
- Evaluate output quality, latency, resource usage, and recovery behavior with a small dataset.
Configuration notes
- Review README configuration notes before using production data.
Sources checked
These links are used to verify repository, documentation, or tutorial details. Review the source pages before adopting the project.
Troubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented ai-guide example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is ai-guide?
ai-guide is an open-source skill project. 程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Prompt 提示词大全、AI 知识百科（Agent Skills / RAG / MCP / A2A）、AI 编程教程（Harness Engineering）、AI 工具用法（Cursor / Claude Code / TRAE / Codex / Copilot）、AI 开发框架教程（Spring AI / LangChain）、AI 产品变现指南，帮你快速掌握 AI 技术，走在时代前沿。本项目为开源文档 aiguide，已升级为鱼皮 AI 导航网站
How do I install ai-guide?
Start with the official README. The first detected setup step is: git clone https://github.com/liyupi/ai-guide.git.
Is ai-guide beginner-friendly?
If you already know the JavaScript ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can ai-guide be used commercially?
GitHub did not detect a repository license, so commercial permission is unconfirmed. Review the repository terms and any model weights, datasets, dependencies, or external services before commercial adoption.
Does ai-guide need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt ai-guide?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.