Brij Pandey

Stop guessing how to use Claude Code. This is the complete Claude Code learning path videos, repos, docs, and books. No noise. No confusion. Just everything in one place. Bookmark this. 🎥 Videos 1. FULL Claude Code Tutorial for Beginners (2026) youtube.com/watch?v=qYqIhX 2. CLAUDE CODE FULL COURSE — Build & Sell (4 Hours) youtube.com/watch?v=QoQBzR 3. Mastering Claude Code in 30 Minutes youtube.com/watch?v=6eBSHb… 4. Master 95% of Claude Code Skills in 28 Minutes youtube.com/watch?v=zKBPwD 5. Claude Code Tutorial Playlist (Beginner → Advanced) youtube.com/playlist?list=… 6. My Top 6 Tips Using Claude Code Efficiently youtube.com/watch?v=WwdlYp 🗂 Repositories 1. Claude Code (Official) github.com/anthropics/cla… 2. Claude Cookbooks github.com/anthropics/cla… 3. Claude Code Ultimate Guide github.com/FlorianBruhin/… 4. Awesome Claude Plugins github.com/quemsah/awesom… 5. Best Claude Code Repos Collection mejba.me/locale/en 📚 Guides & Documentation 1. Claude Code Overview Docs code.claude.com/docs/en/overvi… 2. Claude Code Handbook (freeCodeCamp) freecodecamp.org/news/claude-co… 3. Claude Code Complete Guide 2026 claude-world.com/articles/claud… 4. Practical Guide to Claude Code evakeiffenheim.substack.com/p/a-clear-guid… 5. Claude Code Beginner Guide nxcode.io/resources/news… 📖 Books 1. Mastering Claude AI — Practical Journey amazon.com/dp/B0FLJFY8BD 2. AI Engineering — Chip Huyen oreilly.com/library/view/a… 3. Claude Code Lab — Production AI Apps books.google.com/books/about/Cl…

This is insane 😳 Most people are just using AI tools Very few actually understand how they work So I collected Stanford’s complete LLM curriculum and turned it into a step-by-step learning path Worth over $500 Giving it away free for the first 4,500 people Transformers → Training → Alignment → Agents → Evaluation Study this once and you’ll stop guessing with prompts and start thinking like a real AI engineer How to get it: Follow must (so i can dm you) Rt and comment 'LLM'

Most people are still “prompting” Claude. Power users are building Skills stacks that turn Claude into an AI operating system. Here are 17 FREE Claude Skills resources (this is the starter pack everyone will be using soon): 👇 OFFICIAL DOCS • Best Practices — lnkd.in/emxu8Vsr • Skills Documentation — lnkd.in/eSzfnUNc • API Reference — lnkd.in/erjGW9q5 • MCP Documentation — lnkd.in/ejKJuNEX BLOG POSTS • Introducing Agent Skills — lnkd.in/enrM2tWr • Engineering Blog — lnkd.in/eRn5aYyQ • Skills Explained — lnkd.in/e8zEX2Fe • How to Create Skills — lnkd.in/eDaug-WJ • Skills for Claude Code — lnkd.in/eQpjSyBW • Frontend Design Skills — lnkd.in/efPCkgWb EXAMPLE SKILLS • Anthropic Official Library — lnkd.in/er2tG4ZB • Partner Skills Directory — lnkd.in/ejUcTPjT COMMUNITY LIBRARIES • skills.sh • skillsmp.com • smithery.ai/skills • skillhub.club If you're serious about: • vibe coding • shipping faster • building agents • making money with AI You need this. Bookmark now. Retweet to save for later. The people who build Skills early will dominate distribution.

All Paid Courses (Free for First 4500 People) 𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 2) 🎯 Social Media Marketing Course 🎯 WordPress Development Course 🎯 Facebook Ads Course 🎯 Search Engine Optimization 🎯 Email Marketing Course 🎯 Amazon Business 🎯 Fiverr Freelancing Course 🎯 Graphic Designing 🎯 Video Editing Course 🎯 Ecommerce Business Course 🎯 Drop shipping Course 🎯 Shopify Course 🎯 Web Development & Design. 🎯 And Many More Applicable only for First 4500 People To get Simply: 1) Follow me MUST (So, that I can DM) 2) Repost & Like 3) Comment "Need" to receive your copies.

🚨 12 GitHub Repos that make Claude Code 10x more powerful These aren’t random lists — these are the tools serious builders are using 👇 🧠 Memory & Core Systems 1. Claude Mem — Persistent memory across sessions github.com/thedotmack/cla… 2. LightRAG — Graph + vector RAG for deep codebase understanding github.com/HKUDS/LightRAG ⚡ Automation & Integrations 3. n8n Skills (UI UX Pro Max) — 50+ UI styles, color systems, UX patterns github.com/czlonkowski/n8… 4. n8n-MCP — Connect Claude Code to 100s of integrations via MCP github.com/czlonkowski/n8… 5. VoiceMode MCP — Talk to Claude using voice (Whisper + Kokoro) github.com/mbailey/voicem… 🧰 Toolkits & Frameworks 6. Everything Claude Code — Skills, security scanning, multi-language agents github.com/affaan-m/every… 7. Superpowers — Forces structured thinking + TDD before coding github.com/obra/superpowe… 📚 Learning & Resources 8. Claude Code Ultimate Guide — From beginner → power user github.com/FlorianBruniau… 9. Awesome Claude Code — Community hub (skills, hooks, workflows) github.com/hesreallyhim/a… 🔌 Plugins, Skills & Ecosystem 10. Antigravity Awesome Skills — 1,400+ installable skills github.com/sickn33/antigr… 11. Claude Agent Blueprints — 75+ agent templates beyond coding github.com/danielrosehill… 12. Awesome Claude Plugins (Metrics Index) — 12,000+ repos ranked by adoption github.com/quemsah/awesom… If you're building with Claude Code: Start with this stack: → Claude Mem + LightRAG → n8n-MCP + Skills → Superpowers That alone puts you ahead of 90% of devs

@Suryanshti777 most tools save time, this one removes entire workflows

i downloaded a desktop cat two weeks ago. it just ran a full influencer campaign while i watched. not joking. one sentence. it figured out the rest. #PetClawBeta #PetClaw #AIagent

Most people are still prompting AI. The top builders are designing agent systems. This document quietly maps 21 real agent design patterns — from prompt chaining → multi-agent systems → memory → MCP → RAG → guardrails → evaluation. If you're building with AI and not using these, you're already behind. Here’s the cheat sheet: • Prompt Chaining — break tasks into reliable steps • Routing — send tasks to the right model/tool • Parallelization — run agents simultaneously for speed • Reflection — agents critique and improve outputs • Tool Use — agents call APIs, DBs, code • Planning — long-horizon task execution • Multi-Agent — teams of specialized agents Then it goes deeper: • Memory Management — persistent context • Learning & Adaptation — agents that improve • Model Context Protocol (MCP) — tool standardization • Goal Monitoring — agents track progress • Human-in-the-Loop — controlled autonomy • RAG — grounded knowledge retrieval And the advanced layer most people miss: • Inter-Agent Communication (A2A) • Resource-Aware Optimization • Reasoning Techniques • Guardrails / Safety Patterns • Evaluation & Monitoring • Prioritization • Exploration & Discovery This is basically a blueprint for production-grade AI agents. Not theory. Actual architecture patterns used by serious teams. Bookmark this. Study one pattern per day. You’ll be ahead of 95% of AI builders in a week. Doc link ↓ irp.cdn-website.com/ca79032a/files…

Anthropic just dropped 13 full AI courses… completely free. Not “intro blog posts.” Not “watch this YouTube video.” Actual structured courses. With certification. This is wild. You’re basically getting direct access to how the creators of Claude think about: • AI workflows • agent systems • real-world implementation • production-level usage All from the source. And the lineup is not basic at all: You’ve got: • Claude 101 → daily workflows • Agent Skills → building reasoning systems • Claude API → real app integration • Claude Code → shipping real projects • MCP → connecting tools + systems Plus tracks for students, educators, and even deployment on AWS & Google Cloud. This isn’t “learn AI.” This is learn how to actually use AI in real systems. Here’s the opportunity most people will miss: Everyone is talking about AI. Very few are learning how to operate it properly. These courses are literally the playbook. Free. Certified. From the people building the model. That’s rare. Save this before it disappears.

@Suryanshti777 Claude as a stateful teammate is such an underrated concept

Repo: github.com/alibaba/page-a…

🚨 Breaking: Alibaba just killed the browser automation stack. **page-agent.js** — a GUI agent that lives directly inside your webpage. No Selenium. No Puppeteer. No Chrome extension. No Python backend. Just one script tag. It reads your DOM as text (no screenshots, no multimodal BS), brings your own LLM, and executes natural language commands like "fill out this form" or "click login" — right inside the page. The use cases are genuinely insane: → Ship an AI copilot in your SaaS in literally lines of code → Turn 20-click ERP/CRM workflows into one sentence → Make any legacy web app accessible via voice or natural language 12k stars. MIT licensed. Built on top of browser-use internals — but without any of the setup overhead. This is what "AI-native UX" actually looks like in practice Link in comments👇

@Suryanshti777 This is going to be revolutionary

this is insane😳 developers spend weeks building apps... writing code → fixing bugs → setting up backends → debugging deploys → repeat and the moment requirements change, half of it breaks. CatDoes just launched v4 — an AI agent that has its own computer in the cloud. you describe your app. close the tab. go to sleep. it writes the code, installs packages, runs tests, fixes its own errors. you wake up. app is live. it even monitors your production errors and fixes them when you ask. no backend setup. no extra vendor. database, auth, storage — all included. we're entering the era of describe → ship this changes how products get built forever. go check it out & support the launch 👇

This new SKILL.md standard might quietly become the “npm for AI agents.” AI just got a universal skill system — and almost nobody is talking about it. SKILL.md = a simple markdown file that turns AI into on-demand specialists. Not prompts. Not configs. Actual reusable capabilities. Here’s why this is a big deal 👇 1. Skills load only when needed No more stuffing giant context. Agents read name + description → load full skill → execute. → Faster → Cheaper → More reliable 2. One skill works across tools Claude Cursor Copilot OpenAI Codex Gemini CLI VS Code Write once. Use everywhere. That’s massive. 3. Progressive disclosure = smarter agents Level 1: reads name + description Level 2: loads skill body Level 3: loads files on demand AI now behaves like modular software, not a chatbox. 4. This unlocks "Skill marketplaces" Imagine installing: • review-pr → code review specialist • growth-tweet → viral content writer • bug-hunter → security scanner • research-deep → analyst agent AI becomes downloadable expertise. 5. Skills > prompts Prompts = temporary Skills = reusable infrastructure This shifts AI from: "ask better questions" → "build better abilities" And that changes everything. Soon workflows will look like: Agent + Skills = Autonomous system Not just chat. Not just automation. Composable AI intelligence. The people building skills now will control the AI ecosystem later. This is early. But not for long. Bookmark this. In 6 months, everyone will be talking about SKILL.md.

@DivyanshT91162 The combination of skills + MCP + repos is powerful.

@one2358 Hard to imagine going back after this

We gave an AI its own computer. It started shipping apps. Describe what you want. CatDoes builds your mobile app or website on its own computer in the cloud. Installs the packages, runs the build, fixes its own errors. Try it now at catdoes.com

Most Claude Code setups fail before the first prompt. Not because of skill — because there’s no structure. No CLAUDE.md No skills No hooks No agents No workspace memory So Claude keeps guessing. And you keep re-explaining. Power users don’t rely on prompts. They build an environment Claude can think inside. This kind of setup turns Claude from: “help me write this” into “ship this entire feature.” If you're serious about Claude Code, save this. You’ll want it when your workflow starts breaking.

Stop wasting hours trying to learn AI. 📘📚 I have already done it for you. With one list. Zero confusion. And no fluff 📹 Videos: 1. LLM Introduction: t.co/kyDon6qLrb 2. LLMs from Scratch: t.co/2hyMhuKoiI 3. Agentic AI Overview (Stanford): t.co/FXu6cAqITC 4. Building and Evaluating Agents: t.co/ZigR1tdOFL 5. Building Effective Agents: t.co/uYwfwO55mO 6. Building Agents with MCP: t.co/4arFTW1b3i 7. Building an Agent from Scratch: t.co/eOmveyM9Hz 8. Philo Agents: t.co/zLu7x1tx9m 🗂️ Repos 1. GenAI Agents: t.co/eXCl2YaRPv 2. Microsoft's AI Agents for Beginners: t.co/3CSW4zPAwf 3. Prompt Engineering Guide: t.co/GVzvxPYDVO 4. Hands-On Large Language Models: t.co/0rgDvhx3pI 5. AI Agents for Beginners: t.co/3CSW4zPAwf 6. GenAI Agentshttps://lnkd.in/dEt72MEy 7. Made with ML: t.co/9z5KHF9DMe 8. Hands-On AI Engineering:t.co/dldAj5Xkr6 9. Awesome Generative AI Guide: t.co/U2WZhT4ERV 10. Designing Machine Learning Systems: t.co/sYAZX34YdQ 11. Machine Learning for Beginners from Microsoft: t.co/NjFxHbC9jZ 12. LLM Course: t.co/N34YTPu1OK 🗺️ Guides 1. Google's Agent Whitepaper: t.co/bW3Ov3vMW0 2. Google's Agent Companion: t.co/wredwWAbBA 3. Building Effective Agents by Anthropic: t.co/fxtE4alVrJ. 4. Claude Code Best Agentic Coding practices: t.co/lLSwJ9pG7C 5. OpenAI's Practical Guide to Building Agents: t.co/xgkEIogGfh 📚Books: 1. Understanding Deep Learning: t.co/CjcKpTemmV 2. Building an LLM from Scratch: t.co/DaWBxOx8o3 3. The LLM Engineering Handbook: t.co/ZA1n0N41Mf 4. AI Agents: The Definitive Guide - Nicole Koenigstein: t.co/boLkl1VlKb 5. Building Applications with AI Agents - Michael Albada: t.co/H1Xf5EkJLL 6. AI Agents with MCP - Kyle Stratis: t.co/JI3ELQZE6a 7. AI Engineering: t.co/Xk0JzMIf7o 📜 Papers 1. ReAct: t.co/QNqE4UU55w 2. Generative Agents: t.co/CwEpoJgY1U. 3. Toolformer: t.co/5m9xZd5teZ 4. Chain-of-Thought Prompting: t.co/KjVlgdWi77. 🧑🏫 Courses: 1. HuggingFace's Agent Course: t.co/7FSUYKxIdG 2. MCP with Anthropic: t.co/IkZGiWm2yS 3. Building Vector Databases with Pinecone: t.co/2YRoMfLdXd 4. Vector Databases from Embeddings to Apps: t.co/23A50ixbHJ 5. Agent Memory: t.co/uc3L9BrNF7 Repost for your network ♻️

@Suryanshti777 I used to paste EVERYTHING into the prompt Worst decision ever