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.
Google CEO, Sundar Pichai:
"Every engineer should have a team of agents. The skill isn't writing code anymore, it's orchestrating."
The devs who learn to run agent teams now have a huge privilege.
Watch the interview, then bookmark the exact setup below 👇
CLAUDE FABLE 5 EDITED 17 RAW TAKES INTO A FINISHED VIDEO IN 1 SESSION. HERE IS THE $9,000/MONTH PIPELINE.
On June 11 a Claude Code developer posted a walkthrough hitting 288,000 views in hours.
Fable 5 took 17 raw takes and produced a color-graded, captioned, titled video without touching Premiere or DaVinci Resolve once.
Fable 5 selects best takes and writes edit decisions.
One /goal prompt runs the entire pipeline autonomously. You return for one taste approval session.
Month 6 math : single finance YouTube channel, 15,000 average views, $8 RPM equals $3,600 AdSense.
Two sponsorships at $1,500 each.
Digital product at $97 with 50 sales.
Total near $9,000 per month.
Fable 5 is free on paid plans until June 22.
I was spending 4 hours every week just typing trades I already decided into a different window
Just alt - tabbing between TradingView and Binance like a human copy - paste machine
40 trades a week at 6 minutes of pure clerical work each comes out to $600 a week at my hourly rate
$31,200 a year completely evaporated before a single position even opened
Then someone in a Discord I'm in dropped a terminal screenshot with one caption
Claude reading a live chart and placing a Binance order in the same conversation in under 4 seconds
I set the whole thing up that same weekend and the total bill was $215 a month
$200 for Claude Code and $15 for TradingView and literally zero for Binance
Two MCP servers installed by Claude itself in under 4 minutes and your API keys never leave your own machine
No cloud service holding your data no SaaS subscription that doubles when you scale no "where does our trade data go" conversation with a vendor
The agent reads RSI and account balance and open positions and live news feed all inside one unified context window and makes one decision in 2 to 4 seconds flat
What used to take me 6 minutes of manual clicking now happens while I'm making coffee
12 months after setting this up the number sitting in my trading account above what I would have made manually is $197,600
That's the agent running my existing strategy 24 hours a day 7 days a week without missing a setup while I was in a meeting or asleep or just not at my desk
The cost of doing it the old way was $1,200 to $1,800 a week in invisible friction
The cost of doing it this way is $50 a week all in
$197,600 is not a miracle number it's just what happens when you stop
being the bottleneck in your own trading workflow
THIS OXFORD GRADUATE SITS IN THE OFFICE PLAYING GAMES WHILE CLAUDE AND 3 REPOSITORIES DO ALL THE WORK - $11,000/MONTH
spent 4 years at Oxford learning to code - now uses that knowledge to set up the repositories correctly and lets Claude handle everything after that
3 repositories running in parallel - Claude plans the architecture, writes the code, runs the tests and pushes the commits while he approves from across the room
the computer works, Claude codes, the repositories ship - he just plays and checks the output when something needs a decision
most Oxford graduates spend their careers writing code for someone else's product - he spent one afternoon setting up 3 repositories and now collects the output every month
$11,000/month, Oxford degree on the wall, game controller in hand - and the gap between people who work for their code and people whose code works for them keeps growing
THIS GIRL USED HERMES AGENT AFTER IT PASSED 140,000 GITHUB STARS AND TURNED A $0 LOCAL SETUP INTO $5,200/MONTH IN CLIENT REPORTS
Most people use AI to generate outputs.
She used it to build assets.
Hermes doesn't just complete a task and forget it.
It completes a task.
Saves the process.
Then turns that process into a reusable skill.
The next client doesn't start from zero.
The workflow is already there.
After building 20+ skills, similar projects run dramatically faster.
Less prompting.
Less cleanup.
Less repetition.
More leverage.
The system gradually adapts to the exact type of work being sold.
The setup is surprisingly simple:
LM Studio or Ollama.
Qwen 3.6 27B.
Hermes.
Localhost.
No API fees.
No cloud workspace.
No client data leaving the machine.
She used it for startup research reports:
• Competitor analysis
• Pricing audits
• Positioning breakdowns
• Review mining
• Customer complaints
• Market gap research
The kind of deliverables founders routinely pay $400–700 for.
Once the workflows were trained, many reports could be drafted in 15–20 minutes.
That's the shift most people still haven't noticed.
They're paying every month for agents that reset every session.
A smaller group is building skill libraries that become more valuable after every client project.
The real asset isn't the model.
It's the workflow memory accumulating behind it.
Bookmark this before workflow ownership becomes the real AI advantage. ↓
Sam Altman: "The cost to use a given level of AI falls about 10x every 12 months"
10-step Fable 5 sprint you can run before access changes:
1. Pick the heaviest backlog item
- migration
- refactor
- research sprint
- design rebuild
- knowledge base
2. Create FABLE_RUN.md
- goal
- files in scope
- commands
- review rules
- done criteria
3. Map the repo first
Ask for entry points, shared utils, risky modules, tests
4. Break the job into checkpoints
Each checkpoint ends with:
> diff
> test output
> next decision
5. Split builder and checker
Builder edits
Checker runs the app, reads logs, takes screenshots
6. Use worktrees for parallel attempts
Each run gets its own checkout and its own notes
7. Keep a RUN_LOG.md
Every failed command goes there
Every accepted fix goes there
8. Put frontend behind references
2-3 screenshots
Real CSS when precision matters
9. Save research as files
> claims.md
> sources.md
> checker-notes.md
> decision.md
10. End with PROJECT_MEMORY.md
The next run should start smarter than the first one
The rule:
> big model plans the route
> workers take lanes
> checker attacks the result
> memory keeps the receipt
> you read the diff
Skip the checker and you bought confidence, not work
A guy on Reddit with 10 years of engineering experience just shared the one thing he'd teach every vibe coder first.
And it'll save you thousands in AI costs. 🤯
Most people using Claude Code use it the expensive way. They call the AI every time the tool runs. Every run burns tokens. Every token costs money.
His advice: flip it. Use Claude Code to BUILD the tool once. Then run it forever without spending a single token.
Simple example. You want to check a website daily for updates. The expensive way: have an LLM search the site every day. Burns tokens every single time.
The free way: use Claude Code to write a script that scrapes the page and alerts you if anything changed. Build it once. Runs forever. Zero tokens.
Then he took it further. He had Claude Code build him a full neural network something that used to take weeks and years of ML training while he cooked dinner.
It runs for free. No tokens. No API calls. Forever.
Spend tokens once to build it. Run it for free forever.
That's it. That's the insight most vibe coders are missing.
Nate Herk (creator of AI Automation Society):
"Claude Code isn't just for engineers. It becomes an exec assistant that runs your ops, tracks your team, and does your research — and it gets smarter every week."
in 27 minutes, Nate Herk turns Claude Code into a personal chief of staff: one CLAUDE.md as its brain, an onboarding interview, and a growing library of skills tailored to your processes.
setup is one folder and one file. what he stacks on top is the part that'll make you rethink your workflow…
Watch the talk, then read the article below.
That’s worth more than a $500 course on agent engineering.
Anthropic Managed Agents team:
"Fable 5 is our best model for running self-improving agent systems.
Add /loops, dynamic workflows, dreaming and you are unstoppable"
in this video he breaks down exactly how most people are using Claude:
- the 34% you lose to CLAUDE.md before typing a word
- one agent researching. one building. one reviewing. one orchestrating
- the architecture that separates hobbyists from real builders
- the 3 properties every agent team needs to actually survive
if you've been using Claude for more than a month and never left the chat window, you've been using one agent when you could be running a team of them
instead of another show tonight, watch this
make sure to bookmark it before it gets lost in your feed
the guide is in the article below
Andrej Karpathy quietly shipped the best second brain idea in years
not an app. a pattern.
let an llm maintain a wiki of your notes. you dump sources, it reads them, links them, files them. knowledge compounds like interest.
someone built it into a free claude code plugin. setup is two commands:
claude plugin marketplace add AgriciDaniel/claude-obsidian
claude plugin install claude-obsidian@agricidaniel-claude-obsidian
then open obsidian, open claude code in the same folder, type /wiki.
that's it. your notes are now queryable by claude and they get richer every time you read something.
bookmark this. best thing you'll build this weekend.
You have access to a godlike intelligence, 'Claude'.
So please go beyond the 'write a quick email' prompt:
☑ You ask before you aim:
Claude can't hit a target you never named.
↳ Start with the task. "I want [X] for [Y]."
☑ You let it guess instead of ask:
It fills gaps with assumptions. Bad ones.
↳ Say "but first, ask me questions."
☑ You type when you should talk:
Typing makes you lazy. Talking makes you specific.
↳ Yap it out. You'll say 3x more.
☑ You accept the first answer:
The first one is never the best one.
↳ Ask for 3 versions. Pick. Refine.
☑ You start over when it's wrong:
Claude can't fix what you won't name.
↳ "You missed the point. I meant ___."
☑ You let it sound like a stranger:
Generic in, generic out.
↳ Give it your About-Me file. Now it sounds like you.
☑ You follow up forever:
Message 30 costs 31x message 1.
↳ Don't drag the thread. Restart.
☑ You treat one output as precious:
The volume IS the workflow.
↳ Generate a lot. Throw most away. Save the one you love.
Most people quit Claude before they ever build a system.
The day you stop chatting and start saving templates, everything changes.
Copy my folder & download my 3 personal .md files:
Step 1: Subscribe for free at https://t.co/psB7XxAv8w.
Step 2: You'll see two choices: free or paid.
Step 3: Choose the free tier. Don't pay for anything.
Step 4: Open your welcome email. Reply to it.
Step 5: Trace the Notion link. Open the '.md files' folder.
Step 6: Access my entire folder + template files.
Step 7: Send this image to your team's channel.
Step 8: Read 2x newsletter per week (for free).
Step 9: Become the "AI guy" at work. It compounds.
YOU CAN RUN CLAUDE CODE FOR $3/MONTH, AND NOBODY IS TALKING ABOUT IT.
A developer got a $170 claude code bill in 10 days, and someone in the comments ended his subscription forever.
He bought a Mac mini m4 base ($599). installed ollama.
pulled qwen 3.6 14b. ran three commands. pointed Claude's code at localhost instead of anthropic's servers.
no api costs. no data is leaving his machine. no subscriptions. just a silent 5-inch square box pulling 10-20 watts under his desk.
Here is what the full stack looks like running on one box:
→ Claude's code connected to Ollama
→ open webui running on localhost: 3000
→ openclaw daemon running on Telegram
→ deepseek r1 14b handling reasoning and math, qwen 3.6 14b handling code, gemma 4 4b handling quick tasks
Here is what the honest math actually writes:
"before: 5 subscriptions. $459/month. data leaving your machine on every request."
"after: $599 once. $3/month in electricity. the team lives by dinner. never sleeps. never quits. never sends your code to someone else's server."
"total saved year one: $5,232."
if you want consistent output without figuring out the prompt engineering yourself, someone already reverse-engineered the entire setup, documented every command, and packaged it at https://t.co/XHWbHeMsg7 for $99 one-time.
no subscription. no fluff. just the exact system that makes this stack work out of the box.
From what I have observed, this is the cleanest local AI setup I have seen in the past year: $599 in, $5,232 saved, and between them three commands and a box that fits in a backpack.
I put the entire blueprint to building your first AI agent in one image
the setup most people waste months figuring out on their own
27 steps. working agent. 20 min to make. $5/month to run:
ONE PROMPT AND CLAUDE FABLE 5 CLONED AN AWARD WINNING WEBSITE AGENCIES CHARGE $10,000
Higgsfield MCP + Claude Code + One prompt. That's the entire stack. No Figma, no manual video generation, no stitching tools together
The MCP handles everything automatically. Nano Banana Pro for images, Seedance 2.0 for video, scroll frame slicing for the cinematic effect
The total cost per full website generation with custom images and videos is around $1 to $2. Not $1,000. Not $5,000. One to two dollars
Full walkthrough is above
IF I HAD A GUN TO MY HEAD AND WAS FORCED to make $20K/month selling ebooks online with AI in 30 days, starting from 0, here's exactly what I would do in 20 steps:
Days 1–3: Build the content machine with AI
1. Find the #1 creator in a profitable niche (ecom, fitness, finance, dating)
2. Scrape their top 100 posts — already proven to get views
3. Feed them into AI and generate 300 posts in your voice in under 15 minutes
4. AI schedules 5–10 posts/day automatically via TweetHunter
5. At 7 posts/day that's 210 posts in 30 days. Even if only 2% go viral, that's 4 viral posts. One viral post = 50K–200K impressions minimum
Days 4–7: AI builds your product in 48 hours
6. Prompt AI to write a 80–120 page ebook on your niche in under an hour
7. AI designs the cover, formats the pages, exports as PDF
8. AI writes the entire sales page and checkout page copy
9. AI builds your Whop or Gumroad store in 30 minutes
10. Price it $197–$497. Total cost to create: $0. Total time: 2 days.
Days 8–20: AI runs the entire sales machine
11. TweetHunter's AI auto-DMs fire to every liker and commenter 24/7 while you sleep
12. AI writes the DM sequence : free lead magnet offer, follow up, pitch
13. AI generated the lead magnet too (short ebook or checklist, built in 20 minutes)
14. AI wrote every email in your follow-up sequence
15. Example: 1 post gets 500 comments → AI sends 500 DMs instantly → 150 click the free magnet → 8 buy your $297 ebook = $2,376 from one post, fully automated
Days 21–30: AI scales what's working
16. AI identifies your top performing posts and generates 10 variations of each
17. AI writes a second upsell ebook at $497–$997 in 15 minutes
18. AI handles objections in DMs automatically
19. You're not doing anything manually at this point
The conservative math:
> 200 AI-sent DMs per day × 30 days = 6,000 DMs
> 50% click AI-generated free lead magnet = 3000 leads
> 1.5% buy $297 AI-built ebook = 45 sales
* 25% take $497 AI-written upsell = 11 upsells
* Total: $13,365 + $5,467 = $18,832 in 30 days
That's the floor. One viral post can do $5K–$10K in 24 hours alone.
Every product — AI.
Every post — AI.
Every DM — AI.
Every sales page — AI.
Every follow up — AI.
Just set it once and collect.
Comment "X" and I'll send you the full system.
Claude is now controlling TradingView live from my terminal.
Switching symbols. Writing Pine Script. Batch scanning futures. Replay trading. Drawing levels.
All autonomous. Zero clicks.
Still has rough edges but the vision is crystal clear.
I told it:
Find me every BTC futures contract with RSI below 30 and volume spike above 200%.
14 seconds later:
→ 6 contracts identified
→ Charts loaded
→ Support levels drawn
→ Pine Script backtests running
→ Entry zones marked
Didn't touch the mouse once.
Then I said:
Replay last week. Show me where your system would have entered.
It switched to replay mode. Scrolled through price action. Marked every edge. Calculated P&L in real-time.
$4,780 theoretical profit from 9 trades.
83% win rate.
Now it writes custom Pine indicators on command:
Build me a momentum oscillator that tracks whale wallet activity correlated with price.
40 seconds. Script deployed. Indicator live on chart.
Most traders are still clicking through 50 charts manually.
Claude scans 200+ in under a minute.
Finds the setups. Draws the levels. Backtests the edge. All while you watch.
This is not about replacing your strategy.
It's about executing it 100x faster.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word CLAUDE
2. Like and Retweet this post
3. Follow me @codewithimanshu (so i can DM you)
Save this post. Deploy this setup this weekend. Start testing. Scale on evidence.
I make $50,000/month selling ebooks I don't write.
If you start today, you can make at least $3,000 by the end of July.
I normally charge $197 for this guide, but today it's 100% FREE.
Like + Comment 'Guide' and I'll send you my beginner to pro guide for FREE.
Must follow me to get guide in DM.
FREE for next 48 hours only!
Soooo, I can't stop thinking about the fact that I was able to get the same results with Fable on low effort, as I was with Opus 4.8 and GPT 5.5 on high and xhigh, with so many different test that I ran last week.
Now I can't get it out of my head, woke up, wrote this.