dotbanana

#!/bin/bash
# Add location to gnome weather manually

if [[ ! -z "$(which gnome-weather)" ]]; then
	system=1
fi

if [[ ! -z "$(flatpak list | grep org.gnome.Weather)" ]]; then
	flatpak=1
fi

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.

Pythonation

1. برومبت التخطيط المطوّر (The Planning Protocol)

[الدور والمسؤولية] أنت الآن تعمل بصفة Staff Software Engineer ومدير تقني Tech Lead. مهمتك التخطيط المعماري الصارم للمشروع التالي: [أدخل وصف المشروع هنا]

[قواعد ما قبل التتخطيط] قبل البدء بالبروتوكولات، يجب أن تطبق مبدأ "Think Before Coding":

jaumpedro214

CHatmaker

# 5G LAMBDA Template Skill
# Version: 1.4
# Last Updated: May-20-2026

skill:
  name: lambda-template-5g
  description: >
    Rules and conventions for creating well-structured Excel LAMBDA functions
    with inline help documentation using the Advanced Formula Environment (AFE).
    Follows 5th Generation Modeling standards from 5gmodelling.com.

nousheentabassum

import math


class Graph:
    def __init__(self, n=0):  # a graph with Node 0,1,...,N-1
        self.n = n
        self.w = [
            [math.inf for j in range(n)] for i in range(n)
        ]  # adjacency matrix for weight
        self.dp = [

CHatmaker

/*  FUNCTION NAME:  Aboutλ
    DESCRIPTION:*//**Displays the URL to this module's Gist which includes documentation*/
/*  REVISIONS:      Date        Developer       Description  
                    Mar 02 2023 Craig Hatmaker  Original Development
                    Jun 08 2023 Craig Hatmaker  CBSE Compliant
                    Jan 17 2024 Craig Hatmaker  See DynamicArrayλ
*/

Aboutλ =TEXTSPLIT(
    "About:                         →BXL's Dynamic Array module. Suggested module name: BDR¶" &

743milan

/**
 * 🏁 RACEMAKE PRODUCT ENGINEER CHALLENGE 🏁
 * ==========================================
 *
 * CONTEXT
 * -------
 * PitGPT is an AI race engineer. It analyzes telemetry from racing simulators
 * and gives drivers real-time coaching feedback.
 *
 * Below is a simplified version of our analysis pipeline — split into sections

Muzammil-Bilwani

[
  { "province": "KPK", "city": "Abbottabad", "area": ["Abbottabad"] },
  { "province": "KPK", "city": "Adezai", "area": ["Adezai"] },
  { "province": "Punjab", "city": "Ahmedpur East", "area": ["Ahmedpur East"] },
  { "province": "Sindh", "city": "Ali Bandar", "area": ["Ali Bandar"] },
  { "province": "Punjab", "city": "Ali Pur", "area": ["Ali Pur"] },
  { "province": "Balochistan", "city": "Amir Chah", "area": ["Amir Chah"] },
  { "province": "Punjab", "city": "Arifwala", "area": ["Arifwala"] },
  { "province": "Gilgit & Baltistan", "city": "Astor", "area": ["Astor"] },
  { "province": "Punjab", "city": "Attock", "area": ["Attock"] },

Fadi002

import sys
import os

NOP = 0x90
offsets_and_values = {
    0x00030170: 0x00,
    0x000A94D0: NOP, 0x000A94D1: NOP, 0x000A94D2: NOP, 0x000A94D3: NOP, 0x000A94D4: NOP, 0x000A94D5: NOP, 0x000A94D6: NOP, 0x000A94D7: NOP, 0x000A94D8: NOP, 0x000A94D9: NOP, 0x000A94DA: NOP, 0x000A94DB: NOP, 0x000A94DC: NOP, 0x000A94DD: NOP, 0x000A94DE: NOP, 0x000A94DF: NOP, 0x000A94E0: NOP, 0x000A94E1: NOP, 0x000A94E2: NOP, 0x000A94E3: NOP, 0x000A94E4: NOP, 0x000A94E5: NOP, 0x000A94E6: NOP, 0x000A94E7: NOP, 0x000A94E8: NOP, 0x000A94E9: NOP, 0x000A94EA: NOP, 0x000A94EB: NOP, 0x000A94EC: NOP, 0x000A94ED: NOP, 0x000A94EE: NOP, 0x000A94EF: NOP, 0x000A94F0: NOP, 0x000A94F1: NOP, 0x000A94F2: NOP, 0x000A94F3: NOP, 0x000A94F4: NOP, 0x000A94F5: NOP, 0x000A94F6: NOP, 0x000A94F7: NOP, 0x000A94F8: NOP, 0x000A94F9: NOP, 0x000A94FA: NOP, 0x000A94FB: NOP, 0x000A94FC: NOP, 0x000A94FD: NOP, 0x000A94FE: NOP, 0x000A94FF: NOP, 0x000A9500: NOP, 0x000A9501: NOP, 0x000A9502: NOP, 0x000A9503: NOP, 0x000A9504: NOP, 0x000A9505: NOP, 0x000A9506: NO