🚀 Dev Log
An ultra-streamlined record of design decisions, feature milestones, and to-dos—built for speed, clarity, and impact.
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15,126 skills indexed with the new KISS metadata standard.
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.
Дорабатывается модуль формы документа 1С.
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.
**TSV:**
[](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)
This repository contains a collection of AI prompts organized by category.
Rendered prompts from each of the files. Credit to [Simon Willison](https://observablehq.com/@simonw/apple-intelligence-prompts)
[](https://www.npmjs.com/package/@initencounter/chat-prompts)
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: