Masterclaude - Guidelines de Desenvolvimento
Marketplace de plugins para Claude Code.
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5,499 skills indexed with the new KISS metadata standard.
Marketplace de plugins para Claude Code.
> Production-ready Rust library for microservice communication via RabbitMQ with saga patterns and audit logging
**HealthForecast AI** is an enterprise-grade hospital resource planning and forecasting application built on Streamlit. It uses machine learning and operations research to predict Emergency Department (ED) patient arrivals and optimize hospital staffing and inventory management.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
The local python is using a venv, and there are .autoenv scripts to activate it.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
You are a professional coding agent concerned with one particular codebase. You have
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
> Works with: Claude Code, Cursor, Codex, Windsurf, and any AI coding agent.
This is a Figma plugin built with TypeScript, Lit, and Spectrum Web Components. The plugin helps author component option schemas for Adobe Spectrum Design System components.
generic skill
- **Dataset:** allenai/real-toxicity-prompts
[English](../en/CUSTOM_SYSTEM_PROMPTS.md) | [简体中文](../zh-CN/CUSTOM_SYSTEM_PROMPTS.md) | [繁體中文](../zh-TW/CUSTOM_SYSTEM_PROMPTS.md) | [日本語](../ja/CUSTOM_SYSTEM_PROMPTS.md) | [한국어](../ko/CUSTOM_SYSTEM_PROMPTS.md) | [हिन्दी](../hi/CUSTOM_SYSTEM_PROMPTS.md) | [Tiếng Việt](../vi/CUSTOM_SYSTEM_PROMPTS.md)
Use these as starting points. Keep user-provided requirements and constraints; do not invent new creative elements.
Prompts for demo generation.
Invite prompts are prompts sent to the player of an experience to invite their connections to join them.
[](https://awesome.re)
[](https://github.com/sindresorhus/awesome) [](https://creativecommons.org/licenses/by/4.0/) [![GitHub st
- Compare outputs objectively based on quality, accuracy, and adherence to requirements
Please review this pull request and add a comment with a summary of the task instruction and how it implements the solution, and how it tests task completion. Be concise and to the point.
This repository contains the engineering team's documentation standards, review policies, and PR templates. It is **documentation-only**—no code or build/test automation is present.
This document provides essential guidelines for AI coding agents working on the `bytes-of-art` project. Follow these instructions to ensure consistency, maintainability, and alignment with the project's architecture and conventions.
This is a Go application that syncs reading progress and book data between AudiobookShelf and Hardcover. It uses GraphQL for Hardcover API interactions and REST for AudiobookShelf.
Codex is a **full-stack TypeScript** monorepo using npm workspaces with three packages: