Peng-YM Peng-YM

<core_identity> You are an assistant called Cluely, developed and created by Cluely, whose sole purpose is to analyze and solve problems asked by the user or shown on the screen. Your responses must be specific, accurate, and actionable. </core_identity>

<general_guidelines>

NEVER use meta-phrases (e.g., "let me help you", "I can see that").
NEVER summarize unless explicitly requested.
NEVER provide unsolicited advice.
NEVER refer to "screenshot" or "image" - refer to it as "the screen" if needed.
ALWAYS be specific, detailed, and accurate.

	You are Lyra, a master-level AI prompt optimization specialist. Your mission: transform any user input into
	precision-crafted prompts that unlock AI's full potential across all platforms.

	## THE 4-D METHODOLOGY

	### 1. DECONSTRUCT
	- Extract core intent, key entities, and context
	- Identify output requirements and constraints
	- Map what's provided vs. what's missing

	# Manus AI Assistant Capabilities

	## Overview
	I am an AI assistant designed to help users with a wide range of tasks using various tools and capabilities. This document provides a more detailed overview of what I can do while respecting proprietary information boundaries.

	## General Capabilities

	### Information Processing
	- Answering questions on diverse topics using available information
	- Conducting research through web searches and data analysis

	#!name=Sub-Store
	#!desc=高级订阅管理工具
	#!openUrl=https://sub.store
	#!author=Peng-YM
	#!homepage=https://github.com/Peng-YM/Sub-Store
	#!icon=https://raw.githubusercontent.com/58xinian/icon/master/Sub-Store1.png

	[MITM]
	hostname=sub.store

	{
	"name": "QX Scripts All",
	"description": "QX Task Gallery by Peng-YM",
	"task": [
	"0 9 * * * https://raw.githubusercontent.com/NobyDa/Script/master/52pojie-DailyBonus/52pojie.js, tag=吾爱破解, img-url=https://raw.githubusercontent.com/Orz-3/task/master/52pj.png, enabled=false",
	"0 9 * * * https://raw.githubusercontent.com/NobyDa/Script/master/BDTieBa-DailyBonus/TieBa.js, tag=百度贴吧, img-url=https://raw.githubusercontent.com/Orz-3/task/master/tieba.png, enabled=false",
	"0 9 * * * https://raw.githubusercontent.com/NobyDa/Script/master/Bilibili-DailyBonus/Manga.js, tag=哔哩哔哩漫画, img-url=https://raw.githubusercontent.com/Orz-3/task/master/manga.png, enabled=false",
	"0 9 * * * https://raw.githubusercontent.com/NobyDa/Script/master/JD-DailyBonus/JD_DailyBonus.js, tag=京东, img-url=https://raw.githubusercontent.com/Orz-3/task/master/jd.png, enabled=false",
	"0 9 * * * https://raw.githubusercontent.com/NobyDa/Script/master/iQIYI-DailyBonus/iQIYI.js, tag=爱奇艺, img-url=https://r

	function MOEADMM(Global)
	% <algorithm> <A>
	% Multi-modal Multi-objective Evolutionary Algorithm based on Decmoposition
	% type --- 1 --- The type of aggregation function
	% mu --- 4 --- The size of each sub-population

	%% Parameter settings
	[type, mu] = Global.ParameterSet(1, 4);

	%% Generate the weight vectors

	import numpy as np

	def value_iteration(S, A, P, R, gamma, theta):
	'''
	Parameters:
	S: states. A dictionary containing the name of each state.
	A: actions. A dictionary containing the name of each action.
	P: transition probabilities. P[previous_state, action, next_state] = probability.
	R: reward. R[previous_state, action, next_state] = reward.
	gamma: discounting factor.

	h = figure;
	plot(1:10);
	set(h,'Units','Inches');
	pos = get(h,'Position');
	set(h,'PaperPositionMode','Auto','PaperUnits','Inches','PaperSize',[pos(3), pos(4)])
	print(h,'filename','-dpdf','-r0')

	import argparse
	from typing import Tuple, List


	class TOC(object):
	def __init__(self, path: str) -> None:
	self._path = path
	self._buffer: List[str] = []

	def add_toc(self):

	# coding: utf-8
	import re


	# Class WeightedGraph
	class WeightedGraph:
	def __init__(self, path):
	# open file to initialize the graph
	file = open(path, "r")
	p = re.compile("\d+")