Automate the entire UGC ad creation workflow: character generation, image creation, and video production. No tab switching, no copy-pasting, no manual clicking. One command, full pipeline.
Claude Code is an AI assistant that runs in your terminal. Combined with Playwright MCP (a tool that gives Claude control over a real browser) and a library of custom skills, it can:
| // ==UserScript== | |
| // @name DarkReader | |
| // @match *://*/* | |
| // @grant none | |
| // @run-at document-start | |
| // ==/UserScript== | |
| // MIT License | |
| // Copyright (c) 2019 Alexander Shutau |
Some notes and tools for reverse engineering / deobfuscating / unminifying obfuscated web app code.
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.
| #!/usr/bin/env bash | |
| # ~/.claude/hooks/enforce-builtin-tools.sh | |
| # | |
| # PreToolUse hook: blocks file-inspection shell commands and redirects | |
| # Claude to use the appropriate built-in Claude Code tool instead. | |
| # | |
| # Install: | |
| # mkdir -p ~/.claude/hooks | |
| # cp enforce-builtin-tools.sh ~/.claude/hooks/ | |
| # chmod +x ~/.claude/hooks/enforce-builtin-tools.sh |
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.
