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8,892 skills indexed with the new KISS metadata standard.
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:
This file contains generic prompts that can be used to instruct AI models to update project documentation based on changes in the codebase. These prompts are designed to be adaptable to different Go projects.