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@retlehs
retlehs / backlinks.sh
Created April 17, 2026 15:54
Backlinks for any domain via Common Crawl
@driver1998
driver1998 / Program.cs
Last active April 19, 2026 03:05
Shell:AppsFolder dumper
// {b725f130-47ef-101a-a5f1-02608c9eebac}, 10 PKEY_ItemNameDisplay
// {28636aa6-953d-11d2-b5d6-00c04fd918d0}, 24 PKEY_ParsingName, can be executed as `shell:appsfolder\{PKEY_ParsingName}` (even for unpackaged apps)
// {86d40b4d-9069-443c-819a-2a54090dccec}, 16 PKEY_Tile_SuiteDisplayName "folders" in the start menu, items with the same value will be groupped together
// See Also: https://github.com/File-New-Project/EarTrumpet/blob/master/EarTrumpet/Interop/PropertyKeys.cs
// https://github.com/boydfields/winreg-kb/blob/main/winregrc/shell_property_keys.py
using System.Runtime.InteropServices;
using Windows.Win32;
using Windows.Win32.Foundation;
using Windows.Win32.UI.Shell;
@liuran001
liuran001 / config.yaml
Last active April 19, 2026 03:04
mihomo (Clash Meta) 懒人配置
# AFF
# 如果你想支持我,可以通过我的邀请链接购买机场
# 感谢支持
# 1. ssLinks 邀请码: fSo2OhzH https://98a6251b6cd7471da86cca993b6dbe6f.36d.biz/#/register?code=fSo2OhzH
# 2. 一元机场 邀请码: r3f1duds https://xn--4gq62f52gdss.top/#/register?code=r3f1duds
# 一定要填我的邀请码,不填我哭给你看😭
# mihomo (Clash Meta) 懒人配置
# 版本 V1.23-251221

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.

@burkeholland
burkeholland / ainstall.md
Last active April 19, 2026 02:58
Ultralight Orchestration

Ultralight Orchestration

A minimal multi-agent system with an orchestrator, a planner, a coder, and a designer working together providing orchestration between Claude, Codex and Gemini.

Instructions

Install all agents listed below into VS Code Insiders...

Title Type Description