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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.

@crispyricepc
crispyricepc / install-instructions.md
Last active September 23, 2026 03:01
wlprop - An xprop clone for wlroots based compositors

Dependencies

Make sure you have installed the following commands:

  • swaymsg
  • jq
  • slurp
  • awk

Installation

@k16shikano
k16shikano / SKILL.md
Last active September 23, 2026 02:56
japanese-tech-writing/SKILL
name japanese-tech-writing
description 日本語の技術文書・書籍原稿の文章規範。段落と論証の構成(パラグラフライティング)、論証の厳密さ(ツッコミどころの除去)、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、翻訳調の比喩と擬人化の禁止(「運ぶ」「効く」「開かれた問い」など)、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。
license Unlicense(https://gist.github.com/k16shikano/67625f2a7d96e3bbdfae8d571a936063

日本語技術文書の文章規範

日本語で技術的な原稿(書籍の章、記事、解説文)を書く・推敲するときは、以下の規範に従う。

@piyush5050
piyush5050 / SKILL.md
Created March 14, 2026 05:34
Frontend refactor skill for Claude Code — polish any UI using Refactoring UI principles
name frontend-refactor
description Redesign and polish any webpage or UI using principles from Refactoring UI by Adam Wathan and Steve Schoger. Use this skill whenever the user asks to redesign, improve, polish, or refactor the visual design of a webpage, component, or UI — including requests like "make this look better", "clean up this design", "redesign this page", "improve the UI", "make this more professional", or "this looks too Bootstrap-y". Also trigger when users share a screenshot or URL of a page they want visually improved. This skill focuses on systematic, small cosmetic changes that compound into a dramatically more polished result — not full redesigns from scratch.

Refactoring UI Redesign

This skill teaches you to redesign any webpage by applying ~20 small, iterative visual tweaks that compound into a dramatically more polished result. The approach comes from Adam Wathan and Steve Schoger's Refactoring UI methodology: you don't need artistic talent, just a systematic eye for what t

@drillan
drillan / jev-finance-projects.md
Created September 20, 2026 02:27
Jev (TypeSafe System One) finance & trading projects — surveyed 2026-09-20

Jev (TypeSafe System One) — Finance & Trading Projects

Projects using Jev, TypeSafe AI's System One decision model (released 2026-09-15), in investment, trading, and financial-data contexts. Surveyed 2026-09-20 via GitHub API and community awesome-lists.

Reference project

  • jarrodwatts/jev-trader (★1.3k, 2026-09-16) — One AI trade decision every Monad block (~300 ms). Jev reads the Kuru MON-USDC order book and answers buy or sell; the bot posts a post-only limit order one tick inside the touch, earning the spread. Bun/TypeScript, dry-run mode, SSE dashboard. The template most projects below derive from.

Live trading / trading systems

@pjburnhill
pjburnhill / TypeSafe Jev — Project Knowledge Resource.md
Created September 16, 2026 23:14
Comprehensive project reference for TypeSafe Jev: concepts, architecture, primitives, strengths, limitations, use cases, patterns, and practical guidance.

TypeSafe Jev — Project Knowledge Resource

Status: Working project reference
Knowledge date: 16 September 2026
Scope: TypeSafe AI, System One Models, and specifically the Jev model


1. Purpose of this resource

@burkeholland
burkeholland / ainstall.md
Last active September 23, 2026 02:47
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
@dellaert
dellaert / jev_minimal_repro.ipynb
Created September 20, 2026 23:33
Jev + GTSAM: minimal standalone reproduction of CPT generation, evidence updates, and Bayesian-network structure recovery
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