khushboo097

Computers

• Aspect-Oriented Programming with the e Verification Language
• No Code Required
• The Essential Persona Lifecycle

Artificial Intelligence

• Ai for game developers
• Computational Intelligence

orepras

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name: bahasa-indonesia-plain description: > Tulis dan edit teks antarmuka, panduan, dokumentasi, atau konten apa pun dalam Bahasa Indonesia yang lugas, inklusif, dan ramah semua orang, menggunakan prinsip bahasa polos (plain language), EYD, desain trauma-informed, aksesibilitas kognitif, dan framework RASA (Ritmis, Akurat, Sarat Makna, Alami) sebagai lensa evaluasi kualitas tulisan. Gunakan skill ini saat menulis UI copy, microcopy, laporan, panduan pengguna, komunikasi layanan publik, atau teks apa pun yang harus dipahami siapa saja sejak pertama kali membacanya.

orepras

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name: english-plain description: > Write and edit English text that is plain, inclusive, and easy for everyone to read, using plain language principles, trauma-informed design, cognitive accessibility, and the RASA framework (Rhythmic, Accurate, Substantive, Authentic) to judge quality. Use for UI copy, microcopy, error messages, guides, reports, documentation, public-service content, or any text that should be understood on the first read, including by non-native readers. user-invokable: true

orepras

name	japanese-indirect-communication
description	Decode vague or indirect Japanese communication (messages, emails, meeting remarks, feedback) into what is likely really meant, and suggest how to respond or write so the exchange becomes clear without causing loss of face.

Japanese Indirect Communication

Help the user (a non-Japanese or cross-cultural professional) understand what a Japanese speaker or writer is actually communicating, and what is needed to make the communication clearer, in both directions.

When to use

Mr-xn

#!/usr/bin/env node
/**
 * Typora macOS 激活脚本
 * 原理：替换二进制中的 RSA 公钥，用自己的私钥签名生成 Activation Token
 */

const crypto = require('crypto');
const fs = require('fs');
const path = require('path');
const { spawnSync } = require('child_process');

aamiaa

Caution

As of August 26th 2026, Discord has started suspending quest access of people caught automating quest completion.

Some users have received the following system message:

There isn't much I can do to make the script undetected, so use it at your own risk, as you WILL get flagged by doing so.

Complete Recent Discord Quest

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

liyang85

https://githowto.com/