KingWilliam

I GAVE CLAUDE 23 SKILLS AND IT STOPPED FEELING LIKE A CHATBOT an Anthropic engineer said the biggest mistake people make is treating Claude like a chatbot - it was built to run as a full team of experts he showed one operator spin up a product manager, a designer, an engineer, a security specialist and a data analyst, all from a single setup his point was blunt: stop giving the AI orders, build a system that gives orders to itself he said CLAUDE.md alone can set up to 14% of performance before you type a single message, and almost nobody touches it i wrote the full breakdown - all 23 skills, the template, the exact setup, article below.

SOMEONE TURNS FAMOUS NOVELS INTO WALKABLE 3D WORLDS AND SELLS THEM FOR $2,000-$10,000 EACH he feeds the entire book to Kimi and it maps every location, color and street in one pass. then Claude Fable 5 builds the world in your browser - writing its own code, testing itself, fixing its own bugs across parallel agents. by nightfall you can walk from the green hills of the Shire to the black gates of Mordor and feel the scale shift under your feet. a single fandom of 5,000 pays $3 a head to step inside it - $15,000 from one afternoon. the tool is three weeks old and free until June 22, which is the only reason the niche is still open. the full build is in the article below.

HE RUNS FOUR FACELESS CONTENT ACCOUNTS AND HASN'T POSTED A SINGLE ONE HIMSELF youtube, two instagrams, a tiktok - all pushing content 24/7 while he sleeps, and he never opens the apps the whole thing runs on one setup he built once and never touches again that is exactly what skills do to Claude - you teach it your voice, your hooks, your format one time and it produces in your style on command, forever you're still writing every caption by hand, re-explaining yourself to a model that forgets you the second you close the tab build the setup before everyone else does - full breakdown ↓

SOMEONE TURNED A NOVEL INTO A WALKABLE 3D WORLD AND SOLD IT FOR $2,000 IN A DAY he never opened a game engine or wrote a single line of code. he fed the entire book to Kimi and it described every location, every color, every street, the whole world in one pass. then Claude Fable 5 took that brief and built a walkable browser world while he watched - writing its own code, testing itself, fixing its own bugs across a dozen agents at once. by nightfall you could walk from the green hills of the Shire to the black gates of Mordor and feel the scale shift under your feet. a publisher pays $3,000-$10,000 for a launch world like that. a fandom of 5,000 pays $3 a head to step inside it - $15,000 from one afternoon. an indie studio pays $8,000 for a prototype that used to cost six months and a payroll. and the tool that makes it possible is three weeks old and free until June 22 - the only reason the niche is still empty. the full build - the prompts, the CLAUDE.md, the three buyers - is in the article below.

Mike Krieger, head of product at Anthropic and the guy who built Instagram: "Claude is now effectively writing itself." his own engineers ship 2,000-3,000 line pull requests they barely touch - because the model already knows the job, the codebase, the standard that is the entire gap. the people inside aren't smarter than you - they set Claude up once and stopped re-explaining it every session you're still typing into a blank box every morning 23 skills is how you close that gap in a weekend - full breakdown ↓

a developer ran out of OpenAI credits, so he ripped out the API and rebuilt his whole app to run fully local - zero token bills half the timeline cheered, like buying a GPU rack is the only escape from an AI bill that climbs every month it's not. and the overreaction hides where the money actually leaks you're not broke because AI is expensive. you're broke because you send every tiny task to the most expensive model you can afford look at one real coding session: > password resets, copyright headers, formatting - a cheap model nails these now > only the genuinely hard refactor needs the frontier model > route by complexity and the bill drops with the output untouched one engineer measured it: same session, same result - 43% cheaper overnight, no hardware, no local setup the expensive model was never the safe choice. it was just the expensive one he rebuilt his whole stack to dodge the bill. the article below is the easier fix

THIS AI BRAIN RUNS ON BILLIONS OF CONNECTIONS - 23 TINY FILES DECIDE WHAT IT ACTUALLY DOES Everyone else opens Claude, re-explains their whole life, and watches it forget the second they close the tab. I wrote the job down once, in a file called SKILL.md, dropped it in ~/.claude/skills/, and never typed it again. Now Claude reads that file on its own and fires it the moment my request matches it - no pasting, no reminding, no setup. Then I did it 22 more times, until 23 skills were running on their own across every single session. Same model everyone else is paying for - except mine shows up to every task already knowing the standard, the steps, and my voice. The gap between us was never the model. it was the 5 minutes they never spent. I wrote down all 23, start to finish. article below.

Andrej Karpathy, co-founder of OpenAI: "the hottest new programming language is English" 2 hours of the man who led AI at Tesla showing how he actually works now he's not predicting the future - this is already how he works. plain words in, finished work out most people still re-explain themselves to AI every session, with no idea how far behind that leaves them that's exactly why I wrote the full breakdown of the 23 skills that let you brief Claude once and never again read the article below and you'll already be ahead of 99% of people

Jensen Huang, CEO of Nvidia: "i want my engineers to stop coding" straight from the man whose chips run every AI system on the planet he's not predicting the future, he's describing how Nvidia already works - his engineers don't repeat themselves to AI, they set it up once and let it run most people still re-explain who they are to Claude every single session, with no idea how far behind that puts them that's exactly why I wrote the full breakdown of the 23 skills that turned Claude into a different model read the article below and you'll already be ahead of 99% of people

9 out of 10 paid "prompt engineering" courses are a watered-down version of one free talk the people who built Claude just showed how they actually prompt it on the inside structure, examples, room to think - what actually works but a prompt dies the second you close the tab skills fix that - teach Claude once, it sticks all 23 skills are in the article below

every "i built a startup with AI" post shows you a dashboard and hides the math. here's mine. all of it. > 320 on the waitlist > 3 B2B contracts signed at $2,000/month: $72,000/year under contract > base $47, pro $97, first 100 at $39 > infra to run it: $0 until it makes money > 12-month projection: $336,000 ARR.. and i mark exactly which part is real vs model i didn't write most of the code. one Claude Code setup did, configured once. the video shows the capability. my article shows a real product built on it, receipts included. full system below.

OpenAI CEO Sam Altman: "the first one-person billion-dollar company is coming - and sooner than anyone thinks" most people heard that and pictured a genius idea. it was never the idea. it's the setup. this is exactly the kind of edge people pay $250,000 in an accelerator to learn one guy just shipped a real product to $72,000 in signed contracts and a $336K ARR projection - solo, $0 infrastructure, no engineer on payroll he didn't write the code. he configured Claude Code once and directed it like a senior team - plan mode, a CLAUDE.md that grows every session, one feature per conversation if you want to stay competitive, this setup is no longer optional I wrote the full system: the exact config, the free stack, the deploy steps, start to finish watch this, then read the article below those two things alone put you ahead of 99% still typing "build me an app" into a chat box

Tim Cook is stepping down as Apple CEO after 15 years and it's the cleanest reminder of one thing nobody acts on: when a person leaves, the knowledge in their head walks out with them - unless it was captured somewhere most people run their whole life out of memory. 400 ideas a year, you keep maybe 6. nothing compounds because nothing is saved. the fix is a second brain: every note in one Obsidian vault, linked, and Claude reads the whole thing on command your thinking stops walking out the door and starts compounding - that's how a real legacy actually gets built one vault, one MCP line, 30 minutes - the full build is in the article below

Claude turns into a 24/7 employee the moment you set up the one feature almost nobody touches: scheduled tasks in 13 minutes Brock breaks down his entire Cowork setup, step by step - skills, scheduled tasks, connectors most people open Claude, ask one thing, close it - and stay the bottleneck in their own day no prompt to babysit, no tab to watch - just tasks running on their own, handing you finished work I wrote the full build: the exact role, tools, trigger and output to ship your first one in 30 minutes full guide in the post below

there's a reason some people ship 10x more from the same AI while you get generic slop... it's not the model they use. it's the context they feed it. a founder and a beginner open the exact same Claude. one gets a sharp answer in his own voice, the other gets wikipedia... because one handed it his notes, his goals, his history - the other handed it a cold prompt a dev and a vibe-coder run the exact same Claude Code. one ships a feature, the other ships bugs... because one set up the rules, the memory, the structure - the other just typed "make it work" every week it's the same noise on here opus, gemini, some new model tomorrow but the people actually winning aren't switching models. they built context that travels with them. the principles that actually move the needle: > give the model your knowledge, not just a prompt > persistent memory beats a bigger context window > structure a workflow once, reuse it forever > the model is the engine - your context is the fuel same model, same price. one person 10xs their output, the other restarts from zero every chat. stop collecting tools. start building context. that's the part that compounds.

@xiathis banger

me acabo de dar cuenta de que pasé un mes tratando de entender a Claude cuando esta guía de 4 horas lo explica todo…

HE BUILT A $0 SECOND BRAIN THAT DOES THE WORK OF A $90,000 RESEARCH ASSISTANT - AND IT NEVER FORGETS A SINGLE THING that glowing graph is every note he's ever written, and Claude walks the links to surface ideas he forgot he had > ask it once and it pulls threads from notes 6 months deep > it found 5 connections between his ideas he never made himself > every note added makes it sharper - the vault compounds while he sleeps most people pay $200/month for an AI that forgets them the second they close the tab this runs on plain text he owns, cost $0, and answers from years of his own thinking instead of the internet's average a folder of notes is dead weight. a folder Claude can read is an asset that pays you back - the 30-minute build is in the article below

Anthropic engineers, in their own workshop: "you're not supposed to sit and watch the agent work - you wake up and review what it shipped" they spent the whole session on how to build agents that run for hours without a human in the loop most people use Claude for tiny one-off tasks and wonder why nothing changes the shift is when it runs on a schedule, touches your tools, and hands you finished work - a report, a draft, a PR opened before you've opened your laptop I wrote the full build: the exact ROLE, TOOLS, TRIGGER and OUTPUT setup to ship your first workflow in 30 minutes watch the workshop, then read the article below those two things alone put you ahead of 99% of people still typing one prompt at a time