awesome-vibe-coding
Health Pass
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 33 GitHub stars
Code Fail
- rm -rf — Recursive force deletion command in cursor-and-claude/skills/deploy-to-vercel/resources/deploy-codex.sh
- rm -rf — Recursive force deletion command in cursor-and-claude/skills/deploy-to-vercel/resources/deploy.sh
- child_process — Shell command execution capability in cursor-and-claude/skills/writing-skills/render-graphs.js
- execSync — Synchronous shell command execution in cursor-and-claude/skills/writing-skills/render-graphs.js
- exec() — Shell command execution in cursor-and-claude/skills/writing-skills/render-graphs.js
- fs module — File system access in cursor-and-claude/skills/writing-skills/render-graphs.js
Permissions Pass
- Permissions — No dangerous permissions requested
This project is a curated collection of AI-assisted development resources, including Cursor and Claude Code skills, Jupyter notebooks, and reference documents. It is designed to provide product managers, designers, and developers with ready-to-use templates and guides.
Security Assessment
The repository contains a few files that triggered security warnings, but the actual risk is low. Shell scripts for Vercel deployment use `rm -rf` to clean up directories, which is standard practice but requires caution. A JavaScript file for rendering graphs uses `child_process` to execute shell commands. However, this collection is primarily a library of Markdown files, PDFs, and notebooks rather than an installable application. It does not request dangerous permissions, and no hardcoded secrets were detected. Overall risk: Low.
Quality Assessment
The project is actively maintained, with its most recent push happening today. It is properly licensed under the permissive MIT license. Community trust is currently low but growing, represented by 33 GitHub stars. The repository includes comprehensive documentation and a clear quick-start guide for its target audience.
Verdict
Safe to use, though you should review the deployment scripts and JavaScript files if you plan to execute them locally.
Curated collection of AI-assisted development resources: 75 Cursor & Claude Code skills, 123 ML notebooks, 31 research papers, 14 industry reports for Product Managers, Designers and Devs.
██╗ ██╗██╗██████╗ ███████╗ ██████╗ ██████╗ ██████╗ ██╗███╗ ██╗ ██████╗
██║ ██║██║██╔══██╗██╔════╝ ██╔════╝██╔═══██╗██╔══██╗██║████╗ ██║██╔════╝
██║ ██║██║██████╔╝█████╗ ██║ ██║ ██║██║ ██║██║██╔██╗ ██║██║ ███╗
╚██╗ ██╔╝██║██╔══██╗██╔══╝ ██║ ██║ ██║██║ ██║██║██║╚██╗██║██║ ██║
╚████╔╝ ██║██████╔╝███████╗ ╚██████╗╚██████╔╝██████╔╝██║██║ ╚████║╚██████╔╝
╚═══╝ ╚═╝╚═════╝ ╚══════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═╝╚═╝ ╚═══╝ ╚═════╝
Vibe Coding Hub for Product Builders
The most complete collection of battle-tested AI-assisted development resources — for Product Managers, Designers, and Developers who want to ship real products with AI.
What's inside: 75 ready-to-use Cursor & Claude Code skills · 123 Jupyter notebooks · 31 research papers (PDFs in papers/) · 14 industry reports · 21 n8n workflow templates (JSON) · 14 system prompts from leading agents · 36 OpenClaw derivatives catalogued.
Whether you're a PM who wants to prototype faster, a Designer who wants to understand the code your AI is generating, or a Developer looking for the sharpest rules to ship with — this repo is built to be copied, forked, and used the same day.
Quick start
Pick your path and start in under 5 minutes:
For Product Managers
- Read cursor-and-claude/product-management/no-vibe-coding.md — Spec-Driven Development
- Use cursor-and-claude/product-management/create-prd.md to turn an idea into a PRD with AI
- Generate tasks with cursor-and-claude/product-management/generate-tasks.md
- Ship with cursor-and-claude/skills/writing-plans/ + cursor-and-claude/skills/executing-plans/
For Designers
- Drop cursor-and-claude/skills/frontend-design/ into your Claude Code project
- Follow cursor-and-claude/skills/web-design-guidelines/ (Vercel) for distinctive UI
- Read cursor-and-claude/best-practices/accessibility.md before shipping
For Developers
- Install the core skills: brainstorming, test-driven-development, systematic-debugging
- Grab the slash commands: cursor-and-claude/commands/ (
code-review,final-review,git-commit,security-audit) - Pick your stack rules from cursor-and-claude/coding/ (Python, TypeScript, FastAPI, Next.js, …)
- Lock down security with cursor-and-claude/security/anthropic-security-audit.md
For Learners
- Start with the notebooks in research/nn-zero-to-hero/ (Karpathy's Zero to Hero)
- Read learning/README.md to pick a textbook
- Follow research/understanding-deep-learning/ chapter-by-chapter
Project structure
awesome-vibe-coding/
├── openclaw/ # OpenClaw ecosystem — see openclaw/README.md
│ ├── README.md
│ └── skills/ # Skills index — openclaw/skills/README.md, categories/
├── cursor-and-claude/ # Cursor & Claude Code — see cursor-and-claude/README.md
│ ├── skills/ # cursor-and-claude/skills/README.md
│ ├── commands/ # cursor-and-claude/commands/README.md
│ ├── best-practices/
│ ├── coding/
│ ├── product-management/ # cursor-and-claude/product-management/README.md
│ ├── security/
│ └── references/ # cursor-and-claude/references/README.md
├── prompt-engineering/ # prompt-engineering/README.md, prompts/
├── learning/ # learning/README.md — books and textbooks
├── reports/ # reports/README.md — industry reports (McKinsey, OpenAI, …)
├── n8n-templates/ # Workflow templates
├── papers/ # papers/README.md — PDFs and paper notes
├── research/ # research/README.md — notebooks & experiments
└── CONTRIBUTING.md
Quick links
| Area | Entry point |
|---|---|
| Cursor & Claude | cursor-and-claude/ · cursor-and-claude/README.md · Upstream repos catalog |
| Prompts | prompt-engineering/ · prompt-engineering/README.md |
| Learning | learning/ · learning/README.md |
| Reports | reports/ · reports/README.md |
| OpenClaw | openclaw/ · openclaw/README.md |
| Research | research/ · research/README.md |
| Papers | papers/ · papers/README.md |
| n8n | n8n-templates/ |
What's inside
Cursor & Claude (cursor-and-claude/)
| Topic | Location |
|---|---|
| Skills (brainstorming, plans, TDD, debugging, git worktrees, Vercel UI/React guidelines, etc.) | cursor-and-claude/skills/ · cursor-and-claude/skills/README.md |
| Slash commands (code-review, final-review, git-commit, etc.) | cursor-and-claude/commands/ · cursor-and-claude/commands/README.md |
| Product management (PRD, epics, tasks) | cursor-and-claude/product-management/ · README |
| Coding rules (Python, TypeScript, FastAPI, Tailwind, …) | cursor-and-claude/coding/ |
| Best practices (clean code, Karpathy guidelines, MCP, …) | cursor-and-claude/best-practices/ |
| Security | cursor-and-claude/security/ |
| References (agentic patterns, …) | cursor-and-claude/references/ · cursor-and-claude/references/README.md |
Prompts library (prompt-engineering/)
Battle-tested prompts for Cursor, Claude, Grok, Kimi, n8n, Lovable, v0, and more — see prompt-engineering/README.md and prompt-engineering/prompts/.
Learning (learning/)
Three freely-available textbooks that ground the notebooks and skills in this repo: Understanding Deep Learning (Prince), Mathematics for Computer Science (MIT 6.042J), and Algorithms for Decision Making (Stanford). See learning/README.md for what each is best for.
Reports (reports/)
14 industry reports from McKinsey, Deloitte, KPMG, OpenAI, Anthropic, Air Street Capital, and others — useful for pitch decks, business cases, and agent metrics. See reports/README.md for a themed index.
OpenClaw (openclaw/)
Derivative agents and a skills index (VoltAgent, official OpenClaw archive). Details: openclaw/README.md, openclaw/skills/README.md.
n8n templates (n8n-templates/)
Workflow templates (AI assistants, messaging, sheets, scraping, etc.).
Research & experiments (research/)
Educational notebooks and autonomous research setups. Full catalog and source links: research/README.md.
| Track | Folder | Notes |
|---|---|---|
| Reasoning LLM (book code) | research/reasoning-from-scratch/ | Build a Reasoning Model (From Scratch) |
| Minimal ChatGPT-style stack | research/nanochat/ | Karpathy nanochat |
| Autonomous nanochat experiments | research/autoresearch/ | README, Karpathy autoresearch |
| NLP with Transformers book | research/nlp-with-transformers/ | Classification, NER, generation, QA, … |
| Neural nets from scratch | research/nn-zero-to-hero/ | Karpathy course notebooks |
| Short ML examples | research/ML-Notebooks/ | Notebooks under notebooks/ |
| Understanding Deep Learning | research/understanding-deep-learning/ | Notebook list (Prince / UDL) |
Other items (e.g. DeepSeek OCR) are documented in research/README.md when present.
Papers (papers/)
PDFs and reading notes — papers/README.md.
About
This repository is maintained by Adrianno, a Staff Product Manager at Pipefy, diving into the magic behind LLMs.
You can find more about me on GitHub and LinkedIn. 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 thinking — We connect technical concepts to business outcomes
- Reproducible results — Everything is tested and documented
Inspired by
AI & development
- awesome-copilot — Custom agents, instructions, skills, and plugins for GitHub Copilot
- awesome-llm-apps — LLM applications with AI Agents
- awesome-cursorrules — Configuration files that enhance Cursor AI editor experience
- awesome-deepseek-integration — Integrate the DeepSeek API into popular softwares
- awesome-datascience — Data science resources
Programming languages
- awesome-python — Python resources
- awesome-typescript — TypeScript resources
Architecture & design patterns
- awesome-design-patterns — Software and architecture related design patterns
- awesome-system-design-resources — Learn System Design concepts and prepare for interviews
- awesome-scalability — The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Design & product
- Awesome-Design-Tools — The best design tools and plugins for everything
- awesome-for-beginners — A list of awesome beginners-friendly projects
- awesome-cto — Resources for Chief Technology Officers, with emphasis on startups
Contributing
- Fork the repo
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (see CONTRIBUTING.md for Conventional Commits)
- Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Full guidelines: CONTRIBUTING.md.
License
This project is licensed under the MIT License — see LICENSE.
Ready to level up? Start with cursor-and-claude/README.md, openclaw/README.md, or prompt-engineering/README.md. The best way to learn is by doing.
Reviews (0)
Sign in to leave a review.
Leave a reviewNo results found