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@derlin
derlin / PCSwissFrench.keylayout
Last active October 21, 2026 10:58
PC layout Swiss-French for MacOS
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE keyboard PUBLIC "" "file://localhost/System/Library/DTDs/KeyboardLayout.dtd">
<!-- Key mapping for PC-style keys with Swiss French layout -->
<!--Last edited by Ukelele version 2.2.8 on 2015-06-02 at 17:10 (CEST)-->
<keyboard group="0" id="16101" name="PC Swiss French" maxout="1">
<layouts>
<layout first="0" last="0" modifiers="commonModifiers" mapSet="ISO"/>
</layouts>
<modifierMap id="commonModifiers" defaultIndex="0">
<keyMapSelect mapIndex="0">
@Pythonation
Pythonation / prompt.md
Last active October 21, 2026 10:40
3 PROMPTS OF CODING AGENTS

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":

@ogzhanolguncu
ogzhanolguncu / SKILL.md
Created October 4, 2026 18:54
socratic-code-mentor: a Claude Code skill for learning by building. You write the core, the LLM mentors and does the grunt work. Install: save as ~/.claude/skills/socratic-code-mentor/SKILL.md
name socratic-code-mentor
description Mentor a user who builds a project to learn how it works. They write the core; you do all other work and keep it fun. Use when the user says "teach me", "guide me", "mentor me", "hints only", "no spoilers", "Socratic", or "help me learn X by building it", or when a project file says the project is for learning. Do not use for normal feature work. Do not use when the first request is "just fix it" or "write it for me".

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.

@Pusnow
Pusnow / CS 분야 우수 학술대회 목록.csv
Last active October 21, 2026 10:23
CS 분야 우수 학술대회 목록
AAAI 최우수 4 O O 최우수 1.00 AAAI Conference on Artificial Intelligence (AAAI) conf/aaai
AAMAS 우수 2 0.20 International Conference on Autonomous Agents and Multiagent Systems (AAMAS) conf/ifaamas
ACCV 우수 1 우수 0.25 Asian Conference on Computer Vision (ACCV) conf/accv
ACL 최우수 4 O O 최우수 1.00 Annual Meeting of the Association for Computational Linguistics (ACL) conf/acl
ACL Findings 우수 우수 0.20 Findings of ACL series/findacl
ACNS 우수 0.10 International Conference on Applied Cryptography and Network Security (ACNS) conf/acns
ACSAC 우수 2 우수 0.30 Annual Computer Security Applications Conference (ACSAC) conf/acsac
AIED 우수 0.10 International Conference on Artificial Intelligence in Education (AIED) conf/aied
AISTATS 우수 1 우수 0.25 International Conference on Artificial Intelligence and Statistics (AISTATS) conf/aistats
@b0gdanw
b0gdanw / Final Cut Pro Trial DMG
Last active October 21, 2026 09:58
Direct links for Final Cut Pro Trial DMGs
Links from https://www.apple.com/final-cut-pro/trial/
Final Cut Pro release notes https://support.apple.com/en-us/HT201237
What's new in Final Cut Pro https://support.apple.com/en-us/HT207877
Release history https://web.archive.org/web/20221121093911/https://en.wikipedia.org/wiki/Final_Cut_Pro_X#Release_history
Final Cut Pro 10.1.3
https://secure-appldnld.apple.com/Final_Cut_Pro_X/031-05296.20140814.VRR4r/FinalCutProTrial10.1.3.dmg
Final Cut Pro 10.1.4
https://secure-appldnld.apple.com/Final_Cut_Pro_X/031-02980.20141202.Jgt44/FinalCutProTrial10.1.4.dmg
@kfur
kfur / darkreader.js
Last active October 21, 2026 09:52
Dark Reader userscript for Safari browser
// ==UserScript==
// @name DarkReader
// @match *://*/*
// @grant none
// @run-at document-start
// ==/UserScript==
// MIT License
// Copyright (c) 2019 Alexander Shutau