Made a skill for UI transitions:
It reviews a project, identifies transitions, and suggests improvements or replacements based on the source Transitions-dev library, making them more polished and snappy.
npx skills add Jakubantalik/transitions.dev
I genuinely don't understand why everyone isn't using this yet.
Andrej Karpathy, OpenAI co-founder, posted a simple idea that went massively viral:
Stop using AI to write code.
Use it to build a second brain.
You point Claude Code at a folder. Drop in any source: an article, a transcript, a PDF.
Claude reads it, links it, files it into a living wiki of everything you know.
It compounds like interest. The more you feed it, the smarter it gets.
Here's the whole thing:
1) Install Obsidian
2) Create a vault
3) Open it in Claude Code
4) Paste Karpathy's wiki idea and tell Claude to build it
5) Claude makes three folders:
- raw (for sources)
- wiki (for its pages)
- CLAUDE. md (that runs it)
6) Drop any source into raw and say: "ingest this"
7) Ask questions across everything, forever
Five minutes to set up and you never start from a blank chat again.
Full step by step guide below.
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We're back with our latest edition of "Proof of AI Journals," by Proof of AI Lab.
In this Journal, our researcher Kevin Ros dives into how 2025 is the year of agentic AI, and Model Context Protocol (MCP) is quickly becoming the standard for connecting agents to tools like Slack, Uber, and Notion.
But there's a huge problem: authentication.
Each agent needs to authenticate with each tool individually.
If you're running 10 agents across 20 tools, that's 200 separate OAuth flows.
This leads to the M × N auth problem:
🔁 Redundant flows
🔓 Massive attack surface
🧱 No granular control over time, task, or scope
At Kite AI, we’re building a cryptographically secure transaction layer that solves this.
Agentic systems won’t scale until auth is reimagined, and we’re building that future. 🪁
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