🚨 Anthropic just open-sourced the exact Skills library their own engineers use internally.
Stop building Claude workflows from scratch.
These are plug-and-play components that work across Claude Code, API, SDK, and VS Code copy once, deploy everywhere.
What's inside:
→ Excel + PowerPoint generation out of the box
→ File handling and document workflows
→ MCP-ready subagent building blocks
→ Pre-built patterns for multi-step automation
→ Production templates you'd normally spend weeks writing
The old way: re-explain your workflow every single chat.
The new way: build a Skill once, Claude never forgets how you work.
100% Open Source. Official Anthropic release.
Repo: https://t.co/XNx3i4yNy6
$400K in under a month.
This OpenClaw setup is averaging:
• ~$5 per second
• ~$300 per hour
• ~$7K per day
Proof:
https://t.co/KQ5CdmXNI6
Copytrade → https://t.co/xwVKYk3j6y
And it kept running even after Polymarket removed the 500ms delay.
What it does:
• Trades only 5-minute BTC Up/Down markets
• Buys YES + NO repeatedly in the first ~4 minutes
• Enters when combined price drops below $1
• Locks the spread before expiry
6,823 trades.
Pure arbitrage structure.
No directional bias.
It compounds small gaps over and over -
scaling size as balance grows.
Not prediction.
Not narratives.
Just pricing inefficiencies + automation.
@elonmusk The issue is that the innate ability to assimilate culturally, socially, and economically isn't distributed equally across human population groups. Some groups are better suited to the Western model than others, e.g., Norwegian immigrants should be preferred over Haitians.
1/🔥 Let me tell you why Beijing's in DEEP trouble. Trump just hit China with 54% tariffs - and he's threatening to jack it up to 104% if Xi doesn't back down.
But here's the kicker...
Cursor Agent is just wild.
Now i use Gemini PRO 2.5 to scan the codebase and sonnet 3.5/3.7 to execute code.
In this workflow you need 3 things:
1. Detailed project documentation
2. Use multiple AI coding models
3. 50-step implementation plan
I spend 30 hours/week on cursor. I've found out the best cursor practices and the workflow.
I attached the best practices below and here's the best workflow.
Your project docs (PRD, Tech stack & APIs doc, app flow doc stec) works like a knowledge base for AI models.
If AI models find all necessary information within the knowledge base, they don't hallucinate, assume things and don't ruin the codebase.
So must add project docs in your root directory. Ideal place is add them under project rules (.cursor/rules)
Then you need to use multiple AI models. Now I am using Gemini PRO 2.5 to scan the entire codebase (cus it has 1M context) and find errors or update docs.
And I use Sonnet 3.5 to execute code. If it's a bit complex step then I also use Sonnet 3.7.
Sometimes I also use GPT o1 model to debug but rarely (mostly done by Gemini pro 2.5)
So 2.5 to scan, update, and 3.5/3.7 to execute.
Each model has its superpowers. We need to maximize those.
Lastly, you need to write an end-to-end plan to code your app. I call it "implementation plan."
This implementation plan works as a blueprint for Cursor Agent and it just follows the tasks and executes those.
I use @CodeGuidedev to generate coding docs + it provides 50-step implementation plan to code the entire app.
Now it also supports MCPs. Imagine Cursor using Supabase MCP to create database tables, and add policies autonomously. It just saves so much time.
So wrap up of the workflow is:
Attach your coding docs + use multiple AI models in your flow + have a solid 50-step implementation plan.
And you'll see how powerful Cursor Agent is.
I hope this'll refine your Cursor coding workflow. Let me know your findings.
Apache Kafka 4.0 was just released!
It bumps Kafka to 1.4 million lines of code.
What comes with this new release?
Here are the top 3 features you should know about 🔥
Stack to create $10K/mo app
- Claude - Code - $0
- Recraft - Design - $0
- Shorty - Distribution - $0
You don’t need investors—just your skills, time, & focus.
With consistent effort, you can build something big.
If you're interested in ML, LLMs, RAG, and AI Agents and want to receive Apps and tutorials every week, subscribe to AI Engineering (for free): https://t.co/ocBr0g5dmD
Github Repo: https://t.co/0sGPRI1sx5
Build and deploy LLM agents using just natural language! 🔥
AutoAgent is a fully-automated, self-developing framework that lets you create and deploy LLM agents using natural language alone.
(100% open-source)
cursor pro tip: create custom modes (prompt in replies)
i just built a huge feature with 20+ new files while watching tv using my "architect" role to plan it and then back to agent to build it
enable it in the beta settings and cook!