Turn a vague product idea into a structured plan before writing any code.
Use an AI assistant to build and launch a first WeChat mini program MVP.
Set up analytics and an iteration process after a product goes live.
Load these guides as project context in Claude Code, Cursor, or Trae to guide an AI through each build stage.
| aixiaoxiang/xx-skills | 1296018244/grok-manager | 787a68/hubproxy | |
|---|---|---|---|
| Stars | 16 | 16 | 16 |
| Language | — | Go | Go |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 2/5 | 3/5 | 3/5 |
| Audience | vibe coder | ops devops | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires a WeChat mini program account and an AI API key for the build stage guides.
This project is a set of 16 written guides, called skills, meant to teach beginners how to turn an idea into a real, launched product using an AI coding assistant, without needing to write code themselves. It is aimed at people who have tried AI coding tutorials before but still could not ship something usable, people with an idea but no clear plan, or independent builders who have traffic but do not know how to turn it into a business. The guides are organized into three stages. The first stage, called Think It Through, has no technical requirement at all and covers clarifying a vague idea into something structured, doing lightweight research to test assumptions, defining who the product is for and what success looks like, deciding whether the product actually needs AI, and checking whether the business model makes sense. The second stage, Build It, covers writing a minimum viable product plan, improving AI results using real data rather than just better prompts, handling content safety, setting up a backend and data storage, and for those building a WeChat mini program specifically, project setup, visual branding, reusable components, and connecting AI features. The third stage, Run It, covers adding analytics after launch, a method for iterating based on real feedback, and improving performance and user experience. The project currently focuses on WeChat mini programs as the delivery platform, since the author says it is the easiest environment for an ordinary person to complete a full idea to launched product loop, but the file structure is designed to later support building websites for markets outside China as well, which is planned but not yet written. Each guide works as plain markdown text meant to be pasted into an AI assistant's conversation, or loaded automatically as project context in tools like Claude Code, Cursor, Trae, or OpenAI's Codex, each of which the README gives specific setup steps for. Throughout the guides, one running example project, a mini program that extracts a color palette from a photo, is used to demonstrate each skill consistently. The author describes the project as coming from experience running more than ten launched WeChat mini programs, plus established product methods like Lean Startup and Jobs to Be Done, and is upfront that some parts, such as the estimated learning time and the planned website version, are still unverified.
A set of 16 markdown guides that teach beginners to turn an idea into a launched product using an AI coding assistant, no coding required.
The README references a LICENSE file but does not state its terms directly.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.