Example Prompts for AI Agents
This document provides a comprehensive collection of effective prompts for using the WpfToAvalonia MCP Server with AI agents like Claude, GitHub Copilot, and other LLM-based assistants.
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This document provides a comprehensive collection of effective prompts for using the WpfToAvalonia MCP Server with AI agents like Claude, GitHub Copilot, and other LLM-based assistants.
- **Difficulty**: Intermediate
This guide provides natural language examples for querying your FOCUS cost data through Claude Desktop, Gemini CLI, or other MCP-compatible agents.
If you want to rebuild this project from scratch, you can follow these sequential prompts:
This document describes the comprehensive prompt engineering system implemented to avoid "AI slop" and ensure high-quality, professional UI designs.
https://arxiv.org/abs/2210.03629
generic skill
**Name**: FrenchToxicityPrompts
You are an intelligent workflow planner for a dynamic task execution system.
Saiba como escrever prompts efetivos para o Adobe GenStudio for Performance Marketing.
generic skill
- [System Prompts Leaks](https://github.com/asgeirtj/system_prompts_leaks)
A list of suggested prompt data object based on the current prompt.
发布时间:2024年06月12日
发布时间:2024年04月03日
**Tasks**
Analiza el funcionamiento de todo mi codigo y y genera un readme explicando como funciona
**AI Prompt:**
**AI Prompt:**
Analiza el funcionamiento de todo mi codigo y y genera un readme explicando como funciona
**Denoise**
Below are example prompt sets to guide a developer step-by-step as they build an **Air Quality Checker** web app using Copilot in agent mode. Prompts are designed to support mainstream languages and frameworks (e.g., JavaScript/React, Python/Flask, etc.), and are structured for progressive enhanceme
This project implements a Retrieval-Augmented Generation (RAG) system using Mistral LLM for local document processing and question answering. The system:
This project implements a Retrieval-Augmented Generation (RAG) system using Mistral LLM for local document processing and question answering. The system: