#aiskills
This video shares AI skills that are currently in demand. Learning these skills does not guarantee employment, clients, or income. Results depend on your effort, experience, and market opportunities. #aiskills #digitalskills This video is for educational purposes only. It is not a promise of earnings, employment, or financial success.
Big Fāiz8,600,000 просмотров • 3 месяцев назад
A Vercel engineer built a Claude skill that finds every other skill you need. It searches a library of around 700,000 skills, picks the ones that fit your task and installs them for you. Over 3 million installs already. Comment "skills" and I'll send you the link. #claude #claudeai #aitools #aiskills #productivity Keywords: Claude skills, Claude AI, AI tools, Vercel, skill finder, AI automation, content creation, AI agents, productivity tools, AI workflow, Claude Code, AI for business
nicksadler.io181,200 просмотров • 24 дней назад
Claude can now run and execute full day trading workflows. A developer just released a completely free open-source suite of 11 AI Day Trading skills on GitHub—ranging from multi-chart breakout scanners and breaking news monitors to perfect entry calculators and full trade outcome simulators. Here is how it replaces expensive Wall Street software. #ClaudeAI #DayTrading #ArtificialIntelligence #TradingBots #AIskills
ChekmanFinance23,000 просмотров • 7 дней назад
JSON is just "Jason" — and he runs every automation you build* JSON is pronounced "Jason" — like the actor — and it's the single most useful thing to understand before you get into automation. Here's the plain-English version. Every time one app sends data to another — your signup form to your email tool, your store to your spreadsheet, your AI to your other tools — it doesn't send sentences. It sends JSON: a little labeled packet of information. It's the one language every app uses to talk to every other app. And it's simpler than it looks: 1. JSON is just labeled data inside curly braces { }. 2. Each piece is a label and a value — like "first_name": "Kim", "last_name": "Kardashian", "order": 3. 3. One app fills in the labels and ships it over; the other app reads the exact same labels and grabs the values — so two programs built by total strangers understand each other perfectly. 4. The moment you touch automation (Zapier, Make, n8n) and pull data from one app into another, it arrives as JSON — your contacts, orders, and leads, all as labeled packets. 5. Find the label you want, grab its value, and you can wire almost any app into any other app. The best part: you don't have to write or decode it by hand anymore. Paste any JSON into AI and it tells you exactly what's inside in plain English. Describe what you want and it writes the exact structure your tool needs. The scary syntax is the machine's job now — knowing what JSON is and what it's for is yours. You don't need to become a programmer. You need to know it's called JSON, know your automations run on it, and let AI handle the syntax. #aiautomation #automation #aiagents #aiskills
Professor Glitch314,700 просмотров • 3 месяцев назад
Comment "GPT" and I'll send you the full guide What happens when you ask ChatGPT to humanize your text so it passes every Al detector? I tried this and the results came back as 0% Al generated. Here's how: 1. Tell Chat: "I want you to humanize all my text moving forward so it doesn't sound like Al." 2. Go to the Wikipedia page on signs of Al writing and have Chat list every single pattern that gives away Al text 3. Stay in the same chat and say: "Build me a personal humanizer skill based off everything we just found so I never have to explain this again. Chat builds you your own custom humanizer skill. Install it and now just type /humanizer before you write anything. Follow @taki.gpt for daily valuable Al advice. #ai #chatGPT #aiskills #aihumanizer #aiforbusiness
Taki Wong | AI For Business139,600 просмотров • 3 месяцев назад
Click the link in my bio to join 115+ entrepreneurs, business owners and professionals who are master AI and growing their businesses with teams of AI agent employees working 24/7 365 for them. These are 5 AI repos that can actually make you money. But the real money is mastering Agentic AI and leveraging AI agents for your business. 1. Remotion: 2. OpenHands: 3. PersonaLive: 4. MuMuAINovel: 5. Marketing Skills: #ai #aiforbusiness #aiagents #aiskills #tech
Taki Wong | AI For Business64,000 просмотров • 2 месяцев назад
The roadmap to learn AI automation — from zero Everyone wants AI running their work. Almost nobody knows the order to learn it in. So here's the whole map: you start with plain automation (form → email → CRM → team, running itself in n8n). Then you do the one thing that changes everything — you drop a brain into that automation. Now it reads each customer and writes the custom email, sorts the message, decides what's next. Chain a few brains together and one writes the copy, one makes the image, one turns it into a video, one builds the report. That's the jump from a conveyor belt to an actual employee inside your workflow. Automation first. Then AI automation. That's the order. Want the full path? It's in my profile. #aiautomation#aiskills #aiagents #
Professor Glitch80,700 просмотров • 3 месяцев назад
借我 40 分钟，让我告诉你关于 Claude Code 你需要知道的所有观念 刚开始用 Claude Code，被一堆名词搞得头昏脑胀吗？ 这支影片用最白话的方式，从 Terminal、工作资料夹、Context window，一路讲到 CLAUDE.md、Skill、MCP、Hook、Subagent 和 Worktree，每个名词都配上实际例子。#MattPocock #ClaudeCode #Agent #开发工作流 #代码审查 #ContextEngineering #网页设计 #前端开发 #UI设计 #网站设计 #AI设计 #设计思维 #Impeccable #程序员 #独立开发 #产品设计 #人工智能 #PR #AISkills #AI编程
沈one叁- AI21,000 просмотров • 23 дней назад
Four months left in 2026 — and that's exactly how long this takes to learn AI Automation and agents There are four months left in 2026. And four months of real, hands-on focus is exactly what it takes to go from "I use ChatGPT sometimes" to building AI employees that work for you around the clock. The calendar is literally offering you the window. Here's the plan: SEPTEMBER → foundations, fast (what a model / automation / agent IS — a few evenings), then build one boring automation with no AI in it. By month's end, something you built runs without you. OCTOBER → put the brain in the middle. Email comes in, AI reads it, decides, drafts, routes the tricky ones to you. Build three or four on your real work. Ugly is fine. Running beats pretty. NOVEMBER → your first AI employee: connect it to your tools, write its skill file, give it memory, a schedule, and a brake so the big stuff waits for your yes. One real job, running daily, sharper every correction. DECEMBER → multiply. Copy the pattern — inbox employee, research employee, content employee. Then New Year's Eve hits: everyone around you is making resolutions about January… and your team is already running. The honest part: they're real months. A few focused hours a week, actually building. The people who get there are the ones who keep going through the boring middle. And I'm counting on you — in December, when your first employee is running, message me anywhere: "Hey Glitch — I did it. It's running." I'll be waiting for it. Want to do these four months with a group building the exact same thing, from the very beginning, in order? It's all in my profile. See you in December. #aiagents #aiagent #learnai #aiskills
Professor Glitch57,300 просмотров • 3 месяцев назад