karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

nicolasalarconrapela

export ok='\e[1;32m \u2714'
export ko='\e[1;31m \u2715'
export ot='\e[1;30m'
export res='\033[0m'
whibla='\033[47m\033[1;30m'
#.gitconfig
[color]
	ui = true
[alias]
	glog = log --all --graph --decorate --oneline

Blackshome

blueprint:
  name: Holiday & Away Lighting
  description: >
    # ✈️ Holiday & Away Lighting

    **Version: 1.3**


    Make your home glow, no matter where you go! 🚗 💨

spboyer

Skills, Tools & MCP Development Guide

A Practical Guide for Building Agent Capabilities

"Skills orchestrate the how. MCP Tools execute the what."

This guide consolidates learnings from building AI agent capabilities for Azure, focusing on the relationship between Skills (workflow orchestration) and MCP Tools (discrete operations). Whether you're creating a new Copilot Skill, building an MCP server, or integrating both, this document provides the architecture patterns, development best practices, and real-world case studies you need to build effective, non-conflicting agent capabilities. The core principle is simple: Skills act as the "brain" that orchestrates complex workflows, while MCP Tools serve as the "hands" that execute individual operations—and Skills should invoke MCP Tools, not duplicate them.

---

niko

An collection of documents about icecast/shoutcast streaming.

• icy_meta.md contains the basics of metadata within the stream. The document where I got this information from (http://www.smackfu.com/stuff/programming/shoutcast.html) is not available any more.
• spec.md is a copy of this gist https://gist.github.com/ePirat/adc3b8ba00d85b7e3870 just to prevent the informtation from disappearing. You may find the discussion beneath the original gist interresting as well.
• icy.rb is the most simple icy metadata parser written in Ruby.
• Some information can be found here: https://cast.readme.io/docs/icy