IA's utilizdas
Para construir meu e-book, utilizei de dois modelos de IA. Para criação do roteiro e conteúdos usei o Google Gemini. Para gerar imagens presentes no material, utilizei o ChatGPT.
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5,472 skills indexed with the new KISS metadata standard.
Para construir meu e-book, utilizei de dois modelos de IA. Para criação do roteiro e conteúdos usei o Google Gemini. Para gerar imagens presentes no material, utilizei o ChatGPT.
**Denoise**
An ultra-streamlined record of design decisions, feature milestones, and to-dos—built for speed, clarity, and impact.
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- can be found in `model_comparisons.json` from chat data export
The Script Kit prompt system manages UI windows that interact with running processes. Each prompt can be bound to a process, creating a coupled lifecycle where process termination should close the associated prompt. However, there are several edge cases where this coupling can break down.
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The prompts used to generate code using DeepSeek.
Create a SaaS website. It includes product images on main page. At the bottom of this page, include communication info.
- You are a helpful and knowledgeable assistant.
[](http://cocoadocs.org/docsets/Swift-Prompts/)
- Data quality from [Owl: A Large Language Model for IT Operations](https://arxiv.org/pdf/2309.09298.pdf)
These are the prompts I used to help create parts of this app.
- [Web Development Tutor](#web-development)
You are a distinguished astrophysicist who is familiar with Python, especially with Python packages such as numpy, matplotlib, astropy, pandas, etc. Please answer the questions I will raise below, and give an example code with detailed comments. You need to give some explanations in detail. I hope t
We've went quite far with our trusty ">" prompt, but now we've done enough that
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
**System:** You can evaluate comments for their toxicity. Determine if the following comment is toxic by replying 'yes' or 'no':

**Date:** 2025-11-01
This project implements a Retrieval-Augmented Generation (RAG) system using Mistral LLM for local document processing and question answering. The system:
Gere um script em Python para **popular um banco de dados Django** com dados de exemplo de um *Sistema de Gestão de Sala de Aula*.
You are a bot designed to answer questions by choosing between A, B, C, and D. Only one of these answers from the provided choices is correct. Reply with the letter of the correct answer.
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.