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配置步骤：

# 1. 安装 acpx 插件
openclaw plugins install @openclaw/acpx

# 2. 配置 OpenClaw（.OPENCLAW 是你的 config 目录）
openclaw config set plugins.entries.acpx.enabled true
openclaw config set plugins.entries.acpx.config.permissionMode approve-all
openclaw config set acp.enabled true

Summary

Random set of notes and links that have helped me in the saga to get Ubuntu 22.04 up and running on my 2017 MacBook Pro These notes are mainly for myself in the event that I have to do this again some day. But if you find them helpful, that's great.

Important update

Unfortunately the MacBookPro that I bought second hand turned out to be a dud with some serious hardware flaws that didn't show up until a couple of months after I'd bought it.

I've since purhcased another laptop so I'm not going to be able to maintain this GIST.

I'll leave it here for now in case others want to contribute updates, or clone it. If you feel it's out of date or misleading or a waste of time, let me know in the comments and I'll remove it.

Solveit Reference

What is Solveit?

Solveit is a "Dialog Engineering" web application for interactive development. Unlike ChatGPT (pure chat) or Jupyter (pure code), Solveit combines three message types in one workspace: code execution, markdown notes, and AI prompts. Users build solutions incrementally—writing a few lines, understanding them, then continuing—rather than generating large code blocks.

The AI sees the full dialog context (code, outputs, notes, prompts) when responding -- but only those ABOVE the current message. Users can edit any message at any time, including AI responses—the dialog is a living document, not an append-only log.

The dialog is a running ipykernel instance. A "dialog" is like a "Jupyter notebook", and uses a compatible ipynb file format, but provides a superset of functionality (in particular, "prompt messages"). A "message" is like a "Jupyter cell", with additional attributes stored as ipynb cell metadata. Most standard jupyter functionality is supported (including cell

Complete Recent Discord Quest

Note

This does not works in browser for quests which require you to play a game! Use the desktop app to complete those.

How to use this script:

Accept a quest under the Quests tab
Press Ctrl+Shift+I to open DevTools
Go to the Console tab
Paste the following code and hit enter:

	MACOSX_DEPLOYMENT_TARGET environment variable or -mmacosx-min-version= on the command line
	results in the define __ENVIRONMENT_MAC_OS_X_VERSION_MIN_REQUIRED__ being set, which is
	then picked up by AvailabilityMacros.h and Availability(Internal).h

	The result is MAC_OS_X_VERSION_MIN_REQUIRED being set (AvailabilityMacros.h)
	and __MAC_OS_X_VERSION_MIN_REQUIRED (Availability.h)

	The same goes for MAC_OS_X_VERSION_MAX_ALLOWED (AvailabilityMacros.h) and
	and __MAC_OS_X_VERSION_MAX_ALLOWED (Availability.h), which is set to the
	SDK version (unless set, for example to fake/check what happens when building

	#!/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

	main-window
	***********************
	--arrowpanel-background
	--arrowpanel-border-color
	--arrowpanel-color
	--arrowpanel-dimmed
	--arrowpanel-dimmed-even-further
	--arrowpanel-dimmed-further
	--arrowpanel-padding
	--autocomplete-popup-background

	"""
	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

	# SPDX-License-Identifier: MIT
	# Copyright (c) 2025 David Lechner <dlechner@baylibre.com>
	#
	# /// script
	# dependencies = [
	# "bleak",
	# ]
	# ///

	"""