Chris Watson watzon

Codex Agent Rules

Model and effort routing (GPT-5.6)

Pick the cheapest model/effort that can do the job well. Do not default upward.

Model	Role	Cost	Default use
Luna	Everyday coding	Cheapest	Default for most work
Terra	Workhorse	Mid	Multi-file / repo-scale work

description	Execute a multi-expert research swarm - analyzes your prompt, spawns 3-10 specialized expert agents in parallel, and compiles a comprehensive report

Swarm Command - Multi-Expert Research System

Analyze a user prompt to determine the optimal expert composition (3-10 experts), spawn each expert as a parallel sub-agent with a unique persona, and compile their individual research findings into a comprehensive, structured report.

Elysium Language Specification

Version: 0.1 (Initial Draft) Status: Under active development

1. Introduction

Elysium is a modern programming language that emphasizes readability, safety, and performance. This specification defines the syntax, semantics, and behavior of the Elysium language.

1.1 Design Principles

aspe:keyoxide.org:53LRCXONXJ2LZQWY6KZMILBJKQ

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I am watzon on github.
I am watzon (https://keybase.io/watzon) on keybase.
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	#!/bin/bash

	# Claude Code Infrastructure Setup Script with Research Functionality
	# This script sets up a structured development environment with AI-powered workflow

	echo "🚀 Claude Code Infrastructure Setup (with Research)"
	echo "================================================"

	# Create .claude directory structure
	echo "📁 Creating .claude directory structure..."

	# /etc/libinput/local-overrides.quirks

	[Device]
	MatchName=SynPS/2 Synaptics TouchPad
	MatchUdevType=touchpad
	MatchBus=ps2
	# We need to add a valid DMI modalias match as required
	MatchDMIModalias=dmi:*

	# Disable the device by telling libinput to ignore its input properties

	def with_std(&block)
	original_stdout = File.open("/dev/null")
	original_stdout.reopen(STDOUT)

	original_stderr = File.open("/dev/null")
	original_stderr.reopen(STDERR)

	stdout_reader, stdout_writer = IO.pipe
	stderr_reader, stderr_writer = IO.pipe

	import { useState } from "preact/hooks";

	export interface MessageInputProps {
	onSubmit: (message: { content: string; image: string \| null }) => void;
	}

	const MessageInput = ({ onSubmit }: MessageInputProps) => {
	const [message, setMessage] = useState<string>("");
	const [image, setImage] = useState<string \| null>(null);

	import re
	import argparse

	re_attention = re.compile(r"""
	\\\(\|
	\\\)\|
	\\\[\|
	\\]\|
	\\\\\|
	\\\|