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@sgergely
sgergely / gist:3793166
Created September 27, 2012 09:43
Midnight Commander Keyboard Shortcuts for Mac OSX
----- Esc -----
Quick change directory: Esc + c
Quick change directory history: Esc + c and then Esc + h
Quick change directory previous entry: Esc + c and then Esc + p
Command line history: Esc + h
Command line previous command: Esc + p
View change: Esc + t (each time you do this shortcut a new directory view will appear)
Print current working directory in command line: Esc + a
Switch between background command line and MC: Ctrl + o
Search/Go to directory in active panel: Esc + s / Ctrl + s then start typing directory name
@brooksvb
brooksvb / Uptime-Kuma-Status-Page-Dark-Mode-High-Density-Tweaks.css
Last active April 16, 2026 04:27
These CSS tweaks are for higher density display for Uptime Kuma status pages in dark mode.
:root {
--min-item-width: 28ch;
--max-item-width: .5fr;
--grid-spacing: .25rem;
--item-padding: .25rem;
}
/* Let items expand on small screens */
@media (max-width: 600px) {
:root {

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.

@farzaa
farzaa / wiki-gen-skill.md
Last active April 16, 2026 04:25
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.

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.
@karpathy
"""
import os # os.path.exists
import math # math.log, math.exp
@willhsu007
willhsu007 / llm-wiki.md
Created April 16, 2026 04:20 — forked from karpathy/llm-wiki.md
llm-wiki

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.

@Promptlab37
Promptlab37 / REBUILD_PROMPT.md
Last active April 16, 2026 04:20
PromptLab Downloader - Full Rebuild Prompt for AI Agents

PromptLab Downloader — Complete Rebuild Prompt

📥 Jak stáhnout tento prompt

  1. Klikni na tlačítko "Raw" (vpravo nahoře nad textem)
  2. Ctrl+A (označ vše) → Ctrl+C (zkopíruj)
  3. Vlož do Claude Code / ChatGPT / Cursor → enter → hotová appka ☕

Nebo klikni "Download ZIP" (vpravo nahoře na stránce) pro stažení jako soubor.