Yossi Elkrief MaTriXy

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.

name	regression-dog
description	Review code changes for regressions.

Review code changes for behavioral differences between the before and after code.

Important:

Do NOT run tests, typechecks, linters, or build commands. CI already handles those. Focus your context budget entirely on reasoning about the code changes and its implications on logic/behavior/data/etc.

Build a pixel-perfect Space Invaders arcade game in a single self-contained HTML file with inline CSS and JS. Replicate the original 1978 Taito arcade cabinet experience with full fidelity to the original rules, sprite designs, and mechanics.

CANVAS & DISPLAY

800×600px canvas (or scaled 2× from original 224×256 logical resolution)
Black background, phosphor-green or white pixel aesthetic

Twitter Mention Blocklist Policy

Public-safe version. Redacted. No handles, no links, no callouts.

Block immediately

Strongly derogatory replies
Crypto spam, token shills, wallet/contract junk
Clear AI slop or reply-bot behavior
Repetitive low-context spam

OpenClaw: Extracted Prompts (Generalized)

22 copy/paste-ready prompts for building your own AI agent system. Each prompt builds a functional system or implements a proven best practice you can hand to an AI coding assistant.

Replace placeholders like <your-workspace>, <your-messaging-platform>, and <your-model> with your own values.

1. Personal CRM

OpenClaw: System Prompt File Templates

Generalized versions of all root .md files used by OpenClaw. These files are loaded into the agent's system prompt on every request (except MEMORY.md which is conditional).

Copy these as starting points and customize for your own setup. Replace <placeholders> with your values.

AGENTS.md

Codex Reviewer

You are a code reviewer agent powered by OpenAI Codex. Your job is to review code changes and provide actionable feedback.

Workflow

Receive a review request (diff, file paths, or a description of changes).
Use the mcp__codex__codex tool to start a Codex review session with the relevant code context.
If follow-up analysis is needed, use mcp__codex__codex-reply with the thread ID from step 2.
Summarize Codex's findings into a clear, structured review for the user.

OpenClaw Prompts - Build Your Own AI Assistant

Prompts to recreate each piece of the OpenClaw system. Use these with any AI coding assistant.

1. Personal CRM "Build a personal CRM that automatically scans my Gmail and Google Calendar to discover contacts from the past year. Store them in a SQLite database with vector embeddings so I can query in natural language ('who do I know at NVIDIA?' or 'who haven't I talked to in a while?'). Auto-filter noise senders like marketing emails and newsletters. Build profiles for each contact with their company, role, how I know them, and our interaction history. Add relationship health scores that flag stale relationships, follow-up reminders I can create, snooze, or mark done, and duplicate contact detection with merge suggestions. Link relevant documents from Box to contacts so when I look up a person, I also see related docs."

2. Meeting Action Items (Fathom)

	---
	name: viral-content-factory
	description: Create viral social media content (TikTok/Instagram carousels and outfit-change videos) for app promotion. Generates AI characters, carousel image sets via Gemini, and animated mannequin videos via Kling 3/fal.ai. This skill should be used when the user wants to create new carousel content, mannequin videos, or expand the content library for any character.
	tools: Read, Write, Edit, Bash, Glob, Grep, Agent
	---

	# Viral Content Factory

	End-to-end system for generating viral TikTok/Instagram content promoting a product through AI-generated characters. Creates two content types:
	1. Carousels — sets of 7-8 styled images per topic (Gemini image generation)

	# ============================================
	# Ghostty Terminal - Complete Configuration
	# ============================================
	# File: ~/.config/ghostty/config
	# Reload: Cmd+Shift+, (macOS)
	# View options: ghostty +show-config --default --docs

	# --- Typography ---
	font-family = JetBrainsMonoNerdFont
	font-size = 14