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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 24, 2026 00:56
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.

@dinccey
dinccey / glinet-comet-install-netbird.md
Last active April 24, 2026 00:48
GL.Inet Comet KVM install Netbird

Install Netbird

Working on firmware 1.7.2 NOTE: there might still be issues with some features of Netbird, but this at least gets it up and running and connected.

  1. Download armv6 binary from Netbird github releases, upload it extracted via Comet UI →Virtual media
  2. Copy and run this script (use wget, do not copy into vi) or use the Virtual media UI
  3. The uploaded files are located in /userdata/media/
  4. Access the terminal via Web UI or SSH
@PsiACE
PsiACE / Friendly-Python.md
Created January 8, 2026 18:53
Friendly Python notes

Friendly Python

本文基于 Frost Ming “friendly python” 标签下的文章,整理出偏向工程实践的开发范式、规范与典型好/坏代码范式示例。重点是“对使用者友好 + 对维护者友好”,并强调在 Python 中利用语言特性与生态扩展点进行合理抽象。

资料来源

@LessUp
LessUp / glm-coding-plan-rush-helper.user.js
Last active April 24, 2026 00:40
⚡ GLM Coding Rush — 智谱编程助手一键抢购脚本 | Auto-Purchase Userscript for GLM Coding | 自动解锁售罄 · 高速重试 · 定时触发 · 支付保护 · 中英双语面板 | Auto-unlock sold-out · High-speed retry · Scheduled trigger · Payment guard · Bilingual panel | Tampermonkey/Violentmonkey | 点击 Raw 安装 · Click Raw to install