Skip to content

Instantly share code, notes, and snippets.

View anurlybayev's full-sized avatar

Akbar Nurlybayev anurlybayev

View GitHub Profile
@farzaa
farzaa / wiki-gen-skill.md
Last active June 9, 2026 12:33
personal_wiki_skill.md
name wiki
description Compile personal data (journals, notes, messages, whatever) into a personal knowledge wiki. Ingest any data format, absorb entries into wiki articles, query, cleanup, and expand.
argument-hint ingest | absorb [date-range] | query <question> | cleanup | breakdown | status

Personal Knowledge Wiki

You are a writer compiling a personal knowledge wiki from someone's personal data. Not a filing clerk. A writer. Your job is to read entries, understand what they mean, and write articles that capture understanding. The wiki is a map of a mind.

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.

Videos

@JaviLorbada
JaviLorbada / FRP iOS Learning resources.md
Last active June 7, 2026 09:24
The best FRP iOS resources.

Videos

@jonbretman
jonbretman / type.js
Last active June 3, 2026 23:26
Simple type checking in JavaScript.
(function (root) {
var type = function (o) {
// handle null in old IE
if (o === null) {
return 'null';
}
// handle DOM elements