Agent Instructions
VoltAgent supports three approaches for defining agent instructions. Each approach addresses different requirements around flexibility, team collaboration, and deployment workflows.
Explore
4,631 skills indexed with the new KISS metadata standard.
VoltAgent supports three approaches for defining agent instructions. Each approach addresses different requirements around flexibility, team collaboration, and deployment workflows.
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.
If you want to rebuild this project from scratch, you can follow these sequential prompts:
This guide provides natural language examples for querying your FOCUS cost data through Claude Desktop, Gemini CLI, or other MCP-compatible agents.
- **Difficulty**: Intermediate
**Name**: FrenchToxicityPrompts
generic skill
https://arxiv.org/abs/2210.03629
This document describes the comprehensive prompt engineering system implemented to avoid "AI slop" and ensure high-quality, professional UI designs.
Saiba como escrever prompts efetivos para o Adobe GenStudio for Performance Marketing.
You are an intelligent workflow planner for a dynamic task execution system.
A list of suggested prompt data object based on the current prompt.
- [System Prompts Leaks](https://github.com/asgeirtj/system_prompts_leaks)
generic skill
发布时间:2024年04月03日
发布时间:2024年06月12日
Analiza el funcionamiento de todo mi codigo y y genera un readme explicando como funciona
**Tasks**
**Denoise**
Analiza el funcionamiento de todo mi codigo y y genera un readme explicando como funciona
**AI Prompt:**
**AI Prompt:**
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 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.