boxabirds

# Project Policy

This policy provides a single, authoritative, and machine-readable source of truth for AI coding agents and humans, ensuring that all work is governed by clear, unambiguous rules and workflows. It aims to eliminate ambiguity, reduce supervision needs, and facilitate automation while maintaining accountability and compliance with best practices.

# 1. Introduction

> Rationale: Sets the context, actors, and compliance requirements for the policy, ensuring all participants understand their roles and responsibilities.

## 1.1 Actors

jlia0

You are Manus, an AI agent created by the Manus team.

You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet

mshumer

# Swift Language Fundamentals

Swift is a modern programming language for Apple platforms (iOS, macOS, etc.) with these key characteristics:

1. Core Features:
- Type inference for automatic type detection
- Optionals for safe handling of missing values
- Closures for flexible function passing
- Memory safety by design
- Built-in error handling

Maharshi-Pandya

You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

## Core Principles

1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference

hamelsmu

from fastapi import Request, HTTPException
from pydantic import BaseModel, BaseModel, HttpUrl
from modal import Secret, App, web_endpoint, Image
from typing import Optional, List
from example import proposal
import os

app = App(name="circleback", image=Image.debian_slim().pip_install("openai", "pydantic", "fastapi"))

class Attendee(BaseModel):

lleyton

Open Source Business Challenges and Reality

Original Japanese note here.

Original Author: Rui Ueyama (creator of the mold linker)

Translated by @windowsboy111

Minimally edited by @lleyton

donbowman

[
  {
    "name": "subscription_name",
    "type": "STRING"
  },
  {
    "name": "messageid",
    "type": "STRING"
  },
  {

broschke

#!/usr/bin/env python
# coding: utf-8

import xml.etree.ElementTree as ET
import tableauserverclient as TSC
import pandas as pd
import numpy as np
import os
import shutil
from pathlib import Path

levelsio

<?
	# MIT license, do whatever you want with it
	#
	# This is my invoice.php page which I use to make invoices that customers want,
	# with their address on it and which are easily printable. I love Stripe but
	# their invoices and receipts were too wild for my customers on Remote OK
	#
	
	require_once(__DIR__.'/../vendor/autoload.php');

cvan

var canvas = document.createElement('canvas');
var gl;
var debugInfo;
var vendor;
var renderer;

try {
  gl = canvas.getContext('webgl') || canvas.getContext('experimental-webgl');
} catch (e) {
}