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| #!/bin/sh | |
| # Grab all possible textures from LL's own CDN, referenced by UUID from LLSD backups. | |
| # Usage: Go to where your LLSD XML files are stored; run script. Wait a few seconds. Done! | |
| # (cc) 2024–2025 by Gwyneth Llewelyn. Some rights reserved. | |
| # Distributed under the MIT license: https://gwyneth-llewelyn.mit-license.org | |
| # Second Life® is a registered trademark of Linden Lab. No copyright infringement is intended. | |
| # | |
| # `ug` below is `ugrep`, a `grep` replacement, which you can get from here: <https://ugrep.com/> | |
| # All others should be standard on any Un*x system. | |
| # `curl` is usually available on all systems as well, but, if not, you can grab it from <https://curl.se/> |
A Python script to generate and verify email addresses for websites at scale, with Hunter.io-style validation logic.
- Bulk CSV Processing: Handle thousands of websites in one run
- Smart Pattern Generation: 35+ email patterns including international variants
- Multi-Layer Verification:
- Syntax validation (RFC compliant)
| CLAUDE CODE: 15 GİZLİ AYAR VE KOMUT | |
| =================================== | |
| Videodaki tüm maddelerin kısa özeti. Komutları kopyalayıp doğrudan kullanabilirsiniz. | |
| Not: Ayarların çoğu ~/.claude/settings.json (genel) veya projedeki .claude/settings.json dosyasına yazılır. | |
| Dosyayı elle düzenlemek yerine Claude Code'a "bu ayarı settings dosyama ekle" demeniz de yeterli. | |
| 1. /init KOMUTUNU BAŞTAN YARATAN AYAR |
| { | |
| "class": { | |
| "0": "person", | |
| "1": "bicycle", | |
| "2": "car", | |
| "3": "motorcycle", | |
| "4": "airplane", | |
| "5": "bus", | |
| "6": "train", | |
| "7": "truck", |
We're building a production-grade, simple and straight-forward 3D Game Engine for Windows, macOS and Linux (Ubuntu 24+). This is professional-grade software that needs to be stable, fully-tested, and real-world deployable. No hacks, no shortcuts - solid as a rock.
- Ask questions only when absolutely necessary - work autonomously
- IMRORTANT! DO NOT look outside of working directory or use other code on my computer as reference
- Start by asking question to determine engine name. Suggest a few
- Testing is of the utmost importance - use lots of unit tests (any framework, simple is good), run automated testing
- Setup a scene used for testing, which tests every single feature in the engine - all components, and entire scripting API
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.
| Windows Registry Editor Version 5.00 | |
| ; Pitch Black Theme with Gray Accent preset by AveYo | |
| ; for Ctrl+Alt+Del, Logon, Taskbar, Start Menu, Action Center (10 & 11) | |
| ; revised 2026.05.15 | |
| [HKEY_CURRENT_USER\SOFTWARE\Microsoft\Windows\CurrentVersion\Explorer\Accent] | |
| "AccentColorMenu"=dword:ff000000 ; Window borders and titlebar [black] | |
| "StartColorMenu"=dword:ff000000 ; Modals in UWP ex. Apply new refresh rate in 10 [black] | |
| "AccentPalette"=hex:\ |
Create file: ~/.claude/agents/plan-agent.md
---
name: plan-agent
description: Use proactively for high-level planning, architecture decisions, project strategy, and complex problem decomposition. Specialist for strategic thinking and system design using advanced reasoning capabilities.