usrbinkat

---
#cloud-config
hostname: fedora
fqdn: fedora.home.arpa
ssh_pwauth: true
disable_root: false

# User configuration
chpasswd:
  list: |

usrbinkat

OpenJDK, Node.js, NPM Installation - Debian Trixie 13

Requirements

• Debian GNU/Linux 13 (trixie)
• sudo access

Installation Steps

1. Install OpenJDK 25, Node.js, and npm

usrbinkat

# yaml-language-server: $schema=pulumi-stack-config.schema.json
config:
  compliance:
    fisma:
      compliance_level: low
      enforcement_mode: warn
    nist:
      auxiliary: []
      exceptions: []
    project:

usrbinkat

Deterministic Agent Prompt Instruction Template v1.0

Triple Encoding Standard ABNF ASCII Mermaid Composite Grammar

version: 1.0.0
status: PROPOSED
standard: DETERMINISTIC_PROMPT_SPECIFICATION
specification: PROMPT_TRIPLE_ENCODING
primary_grammar: RFC_5234_ABNF
visual_encodings:

usrbinkat

ContainerCraft Dockerfile Style Guide

Version: 1.0.0
Last Updated: December 2024
Maintainer: ContainerCraft

Table of Contents

1. Header Documentation
2. Base Image and Metadata

usrbinkat

AI CLI Installer v3.2.0

Bash script for installing AI-powered command-line development tools.

Quick Start

curl -fsSL https://gist.githubusercontent.com/usrbinkat/e36f12cd0d8c0f98decc80b092c447f4/raw/ai-tools.sh | bash

usrbinkat

#!/usr/bin/env python3
"""
Pure UOR — execution + integrity + NTT spectral (lossless full-complex)
=====================================================================
This script implements:
- A dynamic prime cache
- Data and exec opcodes with per-chunk checksum (exp⁶)
- Block framing via prime⁷ headers
- Forward & inverse Number-Theoretic Transform (NTT) mod 13 as a spectral operator
- Automatic inversion ensuring lossless round-trip

usrbinkat

Technical Content Pipeline Architecture Design Document

Overview

This document outlines the technical architecture for processing a livestream multi-host & multi-guest podcast transcript into various marketing outputs for both social media and technical marketing purposes.

Input Source

• Format: Raw text transcript from livestream podcast
• Components: Speaker identifiers, timestamps, full dialogue content
• Additional metadata: Episode title, participant names/titles, recording date, episode number

usrbinkat

obelisk on  main [?] is 📦 v0.1.0 via 🐍 v3.9.6
❯ docker model run ai/qwen3
Interactive chat mode started. Type '/bye' to exit.
> tell me about your training corpus, knowledge scope, and strongest logic and skill qualities.
<think>
Okay, the user is asking about my training corpus, knowledge scope, and the strongest logic and skill qualities. Let me start by recalling the information I have.

First, the training corpus. details due to privacy. So I should mention that it's a diverse set of texts, including books, articles, etc., up to 2024, but not the exact sources.de exact

usrbinkat

{
  "mcpServers": {
    "puppeteer": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-puppeteer"],
      "env": {
        "PUPPETEER_LAUNCH_OPTIONS": "{\"headless\": \"new\", \"args\": [\"--no-sandbox\", \"--disable-setuid-sandbox\", \"--disable-dev-shm-usage\", \"--window-size=1280,720\"]}",
        "ALLOW_DANGEROUS": "true"
      }
    },