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@tandpfun
tandpfun / SKILL.md
Created July 14, 2026 02:16
Extract Clothing Skill
name extract-clothing-cutouts
description Extract high-quality, deduplicated transparent ecommerce clothing cutouts from a folder of photographs where people wear one or more garments. Use when Codex must find outfit or model photos, identify unique clothing across images, create focused references, reconstruct complete garments with Imagegen, remove a solid chroma background into RGBA PNGs, and output only the finished clothing images into a new folder under the current working directory.

Extract Clothing Cutouts

Turn photographs of worn clothing into source-faithful standalone catalog PNGs. Treat each result as a reconstruction from visible evidence, not literal segmentation whenever the wearer or another layer occludes part of the garment.

Start by asking for two paths

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.

type guide
status active
version 1.1
updated 2026-07-13
tags
obsidian
theming
prompts
design

Pimp My Vault

@rvrsh3ll
rvrsh3ll / windows-keys.md
Created February 18, 2024 22:44
Windows Product Keys

NOTE

These are NOT product / license keys that are valid for Windows activation.
These keys only select the edition of Windows to install during setup, but they do not activate or license the installation.

Index

@HarryAnkers
HarryAnkers / GUIDE.md
Last active July 14, 2026 23:37
NVIDIA Virtual Display for Sunshine/Moonlight on Linux — No Dummy Plug Required (4K@120Hz, HDR, Custom Resolutions)

NVIDIA Virtual Display for Sunshine/Moonlight on Linux — No Dummy Plug Required

A guide for creating a virtual display on an NVIDIA GPU (tested on RTX 5080, driver 595.58) with HDR, custom resolutions, and 4K@120Hz support for headless Sunshine/Moonlight streaming on Linux.

Works on both HDMI and DisplayPort connectors with no physical display or dummy plug connected.

The Problem

Running Sunshine headless on Linux with NVIDIA is painful:

@k16shikano
k16shikano / SKILL.md
Last active July 14, 2026 23:29
japanese-tech-writing/SKILL
name japanese-tech-writing
description 日本語の技術文書・書籍原稿の文章規範。整形(一文一行、引用ブロック、脚注、コラム記法)、段落と論証の構成(パラグラフライティング)、論証の厳密さ(ツッコミどころの除去)、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。

日本語技術文書の文章規範

日本語で技術的な原稿(書籍の章、記事、解説文)を書く・推敲するときは、以下の規範に従う。

整形

name explain-diff-html
description Use when the user asks for a rich explanation of a code change, diff, branch, or PR. Produces HTML output.

Explain Diff

Please make me a rich, interactive explanation of the specified code change.

It should have these sections: