System: Fedora 43 Linux Desktop Hardware: Intel Core Ultra 7 268V (Meteor Lake) with NPU, Intel Arc iGPU, NVIDIA RTX 4060 Laptop GPU Setup Date: 2026-01-10 Author: Claude Code Version: 2.0 - Comprehensive Edition Purpose: Run 4 independent Ollama instances simultaneously on different hardware accelerators for optimal power/performance/cost flexibility
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| #!/bin/bash | |
| # Non-obtrusive hints for legacy commands with modern alternatives. | |
| # Writes to /dev/tty — invisible to pipes, redirects, and parsers. | |
| # Only active in interactive shells with a real terminal. | |
| # | |
| # Install: | |
| # curl -o ~/.modern-hints.sh https://gist.githubusercontent.com/raw/modern-hints.sh | |
| # echo 'source ~/.modern-hints.sh' >> ~/.bashrc | |
| # exec bash |
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| {"label":"coverage","message":"89%","schemaVersion":1,"color":"hsl(106, 100%, 40%)"} |
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| {"schemaVersion":1,"label":"unit tests","message":"pending","color":"lightgrey"} |
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| #!/usr/bin/env python3 | |
| """Crude oil price monitor with technical analysis indicators.""" | |
| import argparse | |
| import math | |
| import shutil | |
| import subprocess | |
| import sys | |
| import time | |
| from dataclasses import dataclass |
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| --- | |
| name: code-complete-review | |
| description: Multi-agent code quality review combining Code Complete smells, AI slop detection, and 24 opinionated best practices. Uses 3 agents in a Ralph Wiggum loop to scan, fix, and verify. Use when the user asks for code review, code quality, code smells, Code Complete review, Ralph Wiggum loop, slop scan, AI slop, or opinionated review. | |
| --- | |
| # Code Complete Review + AI Slop Detection | |
| A 3-agent iterative code quality system: 24 Code Complete smells + 20 AI slop | |
| anti-patterns + 24 opinionated best practices = **68 checks**. Uses the | |
| **Ralph Wiggum Loop** -- scan, fix, verify, repeat until clean. |
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| // ==UserScript== | |
| // @name ChatGPT Form Cleanup | |
| // @namespace http://tampermonkey.net/ | |
| // @version 1.0 | |
| // @description Adds a button to clean up Slack messages using ChatGPT | |
| // @author David O Neill | |
| // @icon https://cdn.imgbin.com/3/22/25/imgbin-six-thinking-hats-red-hat-enterprise-linux-fedora-cartoon-cowboy-hat-i5r6w8BjC5Ua6Y7HxHZzFsEb9.jpg | |
| // @match https://app.slack.com/* | |
| // @match https://issues.redhat.com/* | |
| // @match https://your-settings-page.com/* |
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| #!/usr/bin/python3 | |
| import os | |
| import sys | |
| import requests | |
| import subprocess | |
| import argparse | |
| class OpenAIProvider: | |
| def __init__(self): | |
| self.api_key = os.getenv("AI_API_KEY") |
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| import random | |
| import string | |
| import gi | |
| gi.require_version("Gtk", "4.0") | |
| from gi.repository import Gio, GLib, GObject, Gtk # noqa | |
| class DataObject(GObject.GObject): |
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| import random | |
| import string | |
| import gi | |
| gi.require_version("Gtk", "4.0") | |
| from gi.repository import Gio, GLib, GObject, Gtk # noqa | |
| class DataObject(GObject.GObject): |
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