Kyle Howells kylehowells

name	description	disable-model-invocation
codex	Use OpenAI Codex CLI for complex debugging, code analysis, or when stuck on difficult problems. Invokes Codex with a file-based question/answer pattern.	true

Using Codex for Complex Debugging

When you encounter a difficult problem that would benefit from a second perspective or deep analysis, use Codex via the file-based pattern.

Claude Agent SDK Technical Specification

Version: 1.0.0 Protocol Version: 2024-11-05 Last Updated: 2026-01-10

2023

December

MetalFX

Boost your Metal app’s performance by upscaling lower-resolution content to save GPU time.

The MetalFX framework integrates with Metal to upscale a relatively low-resolution image to a higher output resolution in less time than it takes to render directly to the output resolution. >

Beads Uninstall Script

A comprehensive uninstall/cleanup script for Beads (bd) that removes all traces of the tool from a system.

Usage

./scripts/uninstall.sh            # dry-run (scan $HOME)
./scripts/uninstall.sh --apply    # perform cleanup
./scripts/uninstall.sh --root DIR --apply

	#include <metal_stdlib>
	#include <SwiftUI/SwiftUI.h>
	using namespace metal;

	[[ stitchable ]] half4 simpledistort(float2 pos, SwiftUI::Layer l, float4 boundingRect, float progress, float distortion) {

	float2 size = boundingRect.zw;
	float2 uv = pos / size;
	float2 center = float2(0.5, 0.5);
	float2 delta = uv - center;

	"""
	The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp

	import AppKit

	@main
	struct DateFormatters {
	static func main() {
	let iterations = 100_000
	let startInterval: TimeInterval = 780_000_000

	time("Create Date Baseline") {
	var results: [Date] = []

	"""
	Simple demo showing how to generate and compare text and image embeddings.
	Uses CLIP (openai/clip-vit-base-patch16) model for both text and image embeddings.
	"""

	import torch
	from PIL import Image
	from transformers import CLIPProcessor, CLIPModel
	import numpy as np
	import torch.nn.functional as F

	'system':
	[
	{
	'type': 'text',
	'text': "You are Claude Code, Anthropic's official CLI for Claude.",
	'cache_control': {'type': 'ephemeral'}
	},
	{
	'type': 'text',
	'text': 'You are an interactive CLI tool that helps users with software engineering tasks.

	#!/usr/bin/env bun
	"use strict";

	const fs = require("fs");
	const { execSync } = require("child_process");
	const path = require("path");

	// ANSI color constants
	const c = {
	cy: '\033[36m', // cyan