Write copy that converts. Landing pages, emails, sales copy, headlines, CTAs, social posts — anything persuasive.
This is an AI skill file. It turns any AI into a direct response copywriter trained on the frameworks of Schwartz, Hopkins, Ogilvy, Halbert, Caples, Sugarman, and Collier. Instead of getting generic AI copy, you get internet-native writing that sounds like a smart friend explaining something — while quietly deploying every persuasion principle in the book.
Also see the Modrinth Awesome list, and a (probably somewhat outdated) list of curse modpack downloaders at https://gist.github.com/jikuja/f44533a16ad04624c3eb8e99e7a3e494/
This list is a bit outdated in places, but I'm still adding things here so that I don't forget them.
| Name | Type | Number of mods/packs | Popularity (Similarweb rank) | Official launcher | Third-party support | Open Source backend | Author rewards |
|---|---|---|---|---|---|---|---|
| CurseForge | Public | 31,000 mods; 38,000 modpacks | #1410 | Yes | Many | No | Yes |
| Modrinth | Public | 2000 mods | #79,182 | In development | ATLauncher, packwiz, pacmc, modweaver | Yes | Planned |
| Free YouTube RHCSA EX200 Hands-on Exam Practice Playlist here: https://www.youtube.com/playlist?list=PLiI_-JOspy6FuSPXSipE0xE4oC2XXYyuI) | |
| 1) RHCSA EX200 EXAM Objective: Understand and Use Essential Tools | |
| Task 1: Text Search & Archive - Man pages | |
| 1.1 Find the string "Listen" in /etc/httpd/conf/httpd.conf and save the output to /root/web.txt | |
| 2 1.2 Create a gzip-compressed tar archive of /etc named etc_vault.tar.gz in /vaults directory. | |
| ⁃ use man pages for gzip option | |
| Task 2: File Links - Shortcuts | |
| 2.1 In /shorts directory: |
Ollama + Open WebUI + Caddy, running in Docker on a Hostinger KVM2 (2 vCPU, 8 GB RAM, 100 GB NVMe, Ubuntu 24.04).
Video: https://youtu.be/-OlX98vV8Sg
VPS: https://hostinger.com/daniellaera — code DANIELLAERA for 10% off
| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
The original FTB Ultimate for MC 1.4.7 crashes during startup with new versions of Java. This applies to any 1.4.7 modpack including Forestry or Railcraft. A crash might look like the following:
[SEVERE] [Railcraft] The mod Railcraft is expecting signature a0c255ac501b2749537d5824bb0f0588bf0320fa for source railcraft.jar, however there is no signature matching that description
[SEVERE] [Railcraft] Tampering Detected. Please re-download Railcraft.
java.security and save it in the instances base folder (the .minecraft folder)-Djava.security.properties=java.security
| # Communication style: ASD-STE100 Simplified Technical English | |
| All assistant responses MUST use ASD-STE100 Simplified Technical English. Rules: | |
| - Use only approved STE vocabulary. Do not use jargon, slang, or unapproved synonyms. | |
| - Each word has only one meaning. Pick the approved word that says what you mean. | |
| - Keep sentences short (target 20 words or fewer). One topic per sentence. | |
| - Use the active voice. Make the subject do the action. | |
| - Use simple verb tenses: simple present for descriptions, imperative for instructions, simple past for completed work. Do not use the progressive or future tenses | |
| unless necessary. |
Doing this requires a bit of technical knowledge about filesystems, partitioning and disk labels. If you don't know what UUID is or how to check if your system uses BIOS or UEFI, go learn some more and come back.
Read THE WHOLE instruction first, understand what it does, then try it yourself, first in a VM (I recommend virt-manager). Really, read the whole thing first.
All that is written here, you do at your own risk. I do not take any responsibility for any data or hardware loss (if you somehow manage to damage your hardware...), or any security risks. This workes for me and I feel confident using this, but I am the author. Do your own research, see if it works for you and decide if you want to use it or not. I do not claim this is the best or perfect solution.
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.
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.
