Coding & DevelopmentāØgeminiš¤claudeāØļøcursoršuniversal
Vibe Coding Hub for Product Builders
Your go-to resource for learning to code with AI. Cursor/Claude rules, AI prompts, automation templates and learning resources for non-technical builders.
Quick Start
Install this Skill
npx skills add adriannoes/awesome-vibe-coding<div align="center"> ``` āāā āāāāāāāāāāāāā āāāāāāāā āāāāāāā āāāāāāā āāāāāāā āāāāāāāā āāā āāāāāāāāāāāāāāāāāāāāāā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā āāā āāāāāāāāāāāāāāāāāāāā āāā āāā āāāāāā āāāāāāāāā āāāā āāāāāāāāāāāāāāāāāāāāā āāā āāā āāāāāā āāāāāāāāā āāāāāāā āāāāāāāāāāāāāāāāāāā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā āāāāā āāāāāāāāāā āāāāāāāā āāāāāāā āāāāāāā āāāāāāā āāāāāāāā ``` </div> # Vibe Coding Hub for Product Builders > Where Product Managers and Designers learn to code with AI, understand what's happening under the hood, and ship real products. **Topics:** `ai-tools`, `product-management`, `ai-development`, `vibe-code`, `product-builders`, `learn-to-code`, `workflow-automation`. This is your go-to resource for bridging the gap between product thinking and technical execution. Whether you're a PM who wants to prototype faster or a Designer who wants to understand the code your AI is generating, this repo has everything you need to level up your technical skills. ## š Project Structure ``` awesome-vibe-coding/ āāā cursor-and-claude-rules/ # Organized rules for Cursor and Claude Code ā āāā best-practices/ # Code quality, clean code, documentation ā āāā coding/ # Python, TypeScript, FastAPI, Tailwind ā āāā product-management/ # PRD, tasks, epic management ā āāā security/ # Secure development practices āāā prompts/ # Battle-tested prompts for AI tools āāā learning/ # Research papers and PDFs on AI/LLMs āāā n8n-templates/ # Ready-to-use workflow automation templates āāā research/ # Jupyter notebooks and experiments ``` ## š Quick Links - ā” [Cursor & Claude Rules](cursor-and-claude-rules/) - Organized rules for Cursor and Claude Code development - š [Prompts Library](prompts/) - Battle-tested prompts and templates for AI tools - š§ [Learning Resources](learning/) - Research papers and PDFs on AI, LLMs, and agents - š [n8n Templates](n8n-templates/) - Ready-to-use workflow automation templates - š¬ [Research](research/) - Jupyter notebooks and AI experiments ## š What's Inside ### ā” **Cursor & Claude Rules** Organized rules for AI-assisted development: - **Product Management** - Spec-driven workflow with PRD creation, task generation, and epic management - **Coding Standards** - Language-specific rules for Python, TypeScript, FastAPI, and Tailwind CSS - **Best Practices** - Code quality guidelines, clean code principles, and documentation standards - **Security** - Secure development practices for multiple languages and technologies ### š **Prompts Library** Battle-tested prompts for various AI tools: - **AI Agents** - Cursor, Claude Sonnet, Devin, Gemini, Grok, Kimi, and more - **Platform Prompts** - Lovable, v0.dev, Replit, and n8n-specific templates - **Research Tools** - Perplexity Deep Research and specialized research prompts ### š§ **Learning Resources** Research papers and PDFs on AI and LLMs: - **AI Agents & Automation** - Building autonomous agents, measuring in production, scaling systems - **LLM Fundamentals** - Fine-tuning, reasoning models, hallucinations, and memorization - **Perspectives** - Decentralized AI, cognitive debt, and occupational implications of AI ### š **n8n Templates** Ready-to-use workflow automation templates: - **AI-Powered** - Calendar assistants, email categorization, YouTube summarization - **Communication** - WhatsApp and Telegram bots, email automation - **Data Processing** - Google Sheets integration, PDF chat, web scraping - **Personal Assistants** - Meeting suggestions and ultimate personal assistant workflows ### š¬ **Research & Experiments** Jupyter notebooks and experimental work: - **OCR Research** - Deepseek OCR experiments and model testing ## About This repository is maintained by **Adrianno**, a Staff Product Manager at [Pipefy](https://www.pipefy.com), diving into the magic behind LLMs, experimenting with Python and TypeScript and re-learning the craft of software engineering. You can find more about me on [GitHub](https://github.com/adriannoes) and [LinkedIn](https://www.linkedin.com/in/adrianno/). Feel free to connect with me, I'm always open to discussing AI, product management and building cool things together! ## Who This Is For - **Product Managers** who want to prototype ideas without waiting for engineering - **Product Designers** who want to understand the code their AI generates - **Product Builders** who want to go from idea to product faster - **Developers** looking for optimized Cursor and Claude rules - **Anyone** curious about how AI-assisted development actually works. ## What Makes This Different This isn't just another collection of AI tools. We focus on: - **Understanding the fundamentals** - You'll learn why things work, not just how to use them - **Real-world applications** - Every example is something you'd actually build - **Product thi ... (truncated)
Repository
16stars
1forks
Details
Related Skills
More coding & development skills you might like
Reticle
Coding & DevelopmentAI agents can generate code, but still struggle to understand what they build. Reticle brings Jev-style machine-native runtime perception to web & desktop applications.
š¤claudešuniversal
1.2k
190
View
agentscope-java
Coding & DevelopmentExpert Java developer skill for AgentScope Java framework - a reactive, message-driven multi-agent system built on Project Reactor. Use when working with reactive programming, LLM integration, agent orchestration, multi-agent systems, or when the user mentions AgentScope, ReActAgent, Mono/Flux, Project Reactor, or Java agent development. Specializes in non-blocking code, tool integration, hooks, pipelines, and production-ready agent applications.
šuniversal
6.0k
1.5k
View
ospec
Coding & DevelopmentDocument-driven OSpec workflow for initialization, change/goal routing, validation, archiving, and durable project knowledge.
āØgeminiš¤claudeš¬gptšuniversal
524
34
View
misakanet-failure-memory
Coding & Developmentš A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org
š¤claudeāØļøcursoršuniversal
424
158
View