ReAct: Synergizing Reasoning and Acting in Language Models
https://arxiv.org/abs/2210.03629
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14,456 skills indexed with the new KISS metadata standard.
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.
AI image generation with structured prompts
Erfahren Sie, wie Sie effektive Prompts für Adobe GenStudio for Performance Marketing schreiben.
Saiba como escrever prompts efetivos para o Adobe GenStudio for Performance Marketing.
You are an intelligent workflow planner for a dynamic task execution system.
Choose from our preset templates or create your own prompt to control how your agent handles conversations with callers.
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.
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:
Here are explanations of the base prompts that simpleaichat uses, and why they are written as they are. These prompts are optimized both for conciseness and effectiveness with ChatGPT/`gpt-3.5-turbo`. This includes some postprocessing of the inputs.
This document provides comprehensive details about the 6 core AI documentation prompts implemented in the GitBook MCP server. These prompts are designed to facilitate essential documentation workflows through conversational AI interfaces and work seamlessly with the 12 available MCP tools.