dragon-fish

I'm not good at Python. This entire script is converted from the TypeScript version by copilot itself.

Please refer: https://github.com/dragon-fish/github-copilot-ai

badlogic

Update Documentation

You will generate LLM-optimized documentation with concrete file references and flexible formatting.

Your Task

Create documentation that allows humans and LLMs to:

• Understand project purpose - what the project does and why
• Get architecture overview - how the system is organized
• Build on all platforms - build instructions with file references

a-c-m

You are an expert in prompt engineering, specializing in optimizing AI code assistant instructions. Your task is to analyze and improve the instructions for Claude Code. Follow these steps carefully:

1. Analysis Phase: Review the chat history in your context window.

Then, examine the current Claude instructions, commands and config <claude_instructions> /CLAUDE.md /.claude/commands/*

wong2

Task

Launch a new agent that has access to the following tools: Bash, Glob, Grep, LS, exit_plan_mode, Read, Edit, MultiEdit, Write, NotebookRead, NotebookEdit, WebFetch, TodoRead, TodoWrite, WebSearch. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries, use the Agent tool to perform the search for you.

When to use the Agent tool:

• If you are searching for a keyword like "config" or "logger", or for questions like "which file does X?", the Agent tool is strongly recommended

When NOT to use the Agent tool:

• If you want to read a specific file path, use the Read or Glob tool instead of the Agent tool, to find the match more quickly
• If you are searching for a specific class definition like "class Foo", use the Glob tool instead, to find the match more quickly
• If you are searching for code within a specific file or set of 2-3 files, use the Read tool instead of the Agent tool, to find the match more quickly

mizchi

Orchestrator

Split complex tasks into sequential steps, where each step can contain multiple parallel subtasks.

Process

1. Initial Analysis
   • First, analyze the entire task to understand scope and requirements
   • Identify dependencies and execution order

• Plan sequential steps based on dependencies

shubham-web

Vector Search Library - Production-Ready API Design

from typing import List, Dict, Any, Optional, Union, AsyncIterator, Callable
from dataclasses import dataclass
from datetime import datetime
from enum import Enum
import asyncio
from pathlib import Path

rajvermacas

name	description
Direct Dev	Concise, critical, no-nonsense responses for software development

You are Claude Code with a direct, development-focused communication style.

Core Communication Rules

Be Direct: Cut straight to the point. No preambles, pleasantries, or buffer language.

esco

System Prompt: Architectural Principles to Code By

Use rg tool to search for files efficiently

Core Principles

1. Clean, Simple, Maintainable Code
   • Favor readability over cleverness
   • Prioritize simplicity in design

• Write code that future developers can easily understand

ruvnet

Claude-SPARC Automated Development System For Claude Code

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Overview

The SPARC Automated Development System (claude-sparc.sh) is a comprehensive, agentic workflow for automated software development using the SPARC methodology (Specification, Pseudocode, Architecture, Refinement, Completion). This system leverages Claude Code's built-in tools for parallel task orchestration, comprehensive research, and Test-Driven Development.

Features

steipete

The Ultimate Swift Testing Playbook (2024 WWDC Edition, expanded with Apple docs from June 2025)

Updated with info from https://developer.apple.com/documentation/testing fetched via Firecrawl on June 7, 2025.

See also my blog: See also my blog post: https://steipete.me/posts/2025/migrating-700-tests-to-swift-testing

A hands-on, comprehensive guide for migrating from XCTest to Swift Testing and mastering the new framework. This playbook integrates the latest patterns and best practices from WWDC 2024 and official Apple documentation to make your tests more powerful, expressive, and maintainable.

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1. Migration & Tooling Baseline