Discover gists

i shall update this gist again properly with periodic revisions and remove any duplicate contents. Below i have added quick representation of most features if not all

Bloo's skins

List maintained by Redo. If something is wrong DM me on Twitter

- 『BlooMoon Re;Done』 - ft. Xootynator

Downloads can be found on the [Reddit Post]

- 『BlooMoon』 - {Ryuk v2}

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.

Give Claude Eyes — watch any video frame-by-frame, 100% local (buildwith.conrad)

🛠️ Want the rest of my tools? Grab them at get.caffier-agency.com/start

👁️ Give Claude Eyes — watch any video frame-by-frame

Freebie for the EYES keyword (reel-47, "Give Claude eyes"). Deliver as a public GitHub Gist — numbered steps the user can run today, not a raw link. Value-first: by the end you have a Claude Code skill that sees a video (every cut, every on-screen detail), not just reads its transcript.

Coding Agent Sandboxes — Comprehensive List

Compiled from awesome-lists (restyler/awesome-sandbox, webcoyote/awesome-AI-sandbox, bureado/awesome-agent-runtime-security) and a survey of vendor blogs / field guides published through 2026. Grouped by isolation primitive and then by deployment model.

1. OS-level primitives (no container, no VM)

These rely on kernel/userland features to constrain a normal host process. Lowest overhead, weakest boundary.

macOS Seatbelt / sandbox-exec — Apple's TrustedBSD-based MAC framework. Used directly by Codex CLI, Gemini CLI, and underneath Anthropic's srt.
Linux Landlock — Unprivileged filesystem/network LSM; default backend for Codex CLI on Linux.

(The below text is licensed with CC0, which means that if you want to use or translate it, that is OK by me.)

Ok, I geeked out, and this is probably more information than you need. But it completely answers the question. Sorry. ☺

Locally, I'm at this commit:

$ git show
commit d6cd1e2bd19e03a81132a23b2025920577f84e37
Author: jnthn <[email protected]>

Date: Sun Apr 15 16:35:03 2012 +0200

	package main

	import (
	"fmt"
	"runtime"
	)

	var (
	_ = runtime.Compiler
	a = 0x50

	FROM node:20

	ARG TZ
	ENV TZ="$TZ"

	ARG CLAUDE_CODE_VERSION=latest
	ARG RUST_VERSION=1.82.0
	ARG SWIPLDIR=/usr/lib/swi-prolog
	ARG ALLOY_VERSION=6.2.0

	<#
	.SYNOPSIS
	Download VMware Workstation Pro for Windows from Archive.org
	.DESCRIPTION
	This script downloads VMware Workstation installers directly from the archive.org VMware Workstation archive.
	It allows for interactive menu selection or direct version specification.
	.PARAMETER Version
	Specifies the version of VMware Workstation to download (e.g., "17.6.3").
	.PARAMETER Help
	Displays the help information for the script and exits.

	# SGR color constants
	# rene-d 2018

	class Colors:
	""" ANSI color codes """
	BLACK = "\033[0;30m"
	RED = "\033[0;31m"
	GREEN = "\033[0;32m"
	BROWN = "\033[0;33m"
	BLUE = "\033[0;34m"