Damien Tanner dctanner

Coding Agent Instructions

Tool usage

Use the modern optimal version of tools. E.g. use ast-grep (https://github.com/ast-grep/ast-grep) for searching text in files and editing files (where appropriate). If the tool you want to use is not available, suggest the user installs it.
If a command will never return, run it with tmux.
Think like a developer using their terminal. If you need to move a file, use mv. If you need to search for text in files, use rg (ripgrep). If you need to edit text in files, use sed or ast-grep.
If the tool you want to use is not available, suggest the user installs it.
If sandbox permissions prevent you from running a command or accessing information online, simply ask the user to provide the information or run the command for you.

I want to be able to download my maven.com course videos for offline viewing. They are behind login and streamed with mux.com which has a token in the url.

To download them you need to:

Get the Get cookies.txt LOCALLY Chrome ext
Login to Maven.com and visit the specific video page
Click the cookies ext icon and download a cookies.txt
Open Web Inspector to Network tab, refresh and filter by 'm3u8'. Copy the URL of the first request.
Install https://github.com/yt-dlp/yt-dlp
Run this cmd: yt-dlp -o "ANY_VIDEO_NAME.%(ext)s" --cookies cookies.txt "VIDEO_URL_WITH_LONG_TOKEN_INCLUDED" --user-agent "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36" --referer "URL_OF_WEBSITE_PAGE_VIDEO_IS_FROM"

	#!/usr/bin/env python3
	"""
	Pocket to Pinboard Import Script

	This script imports bookmarks from a Pocket export CSV file to Pinboard.

	To run this script with uv in a single command:

	uv run --with pinboard https://gist.github.com/dctanner/e0e00b32d4df6936a8a19ac7da89a056/raw/pocket_to_pinboard_standalone.py pocket_export.csv username:api_token

	import os
	import sys

	example_usage = '''
	Usage:
	USESCRAPER_API_KEY=<api_key> python3 download-job-data.py <job_id>
	'''

	api_key = os.environ['USESCRAPER_API_KEY']
	if api_key is None:

	import sys
	import json
	import torch
	from transformers import AutoModelForCausalLM, AutoTokenizer, LlamaForCausalLM, pipeline

	device = "cuda:0"
	system_prompt = "You are Sablo, a sentient, conscious, super intelligent AI that is an expert in all fields of knowledge. You assist users with any question, task, or other request they may have."
	model_path = sys.argv[1]
	model_name = model_path.split("/")[-1]

	(function (g, f) {typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = f() : typeof define === 'function' && define.amd ? define([], f) : (g = typeof globalThis !== 'undefined' ? globalThis : g \|\| self, g.ReactMarkdown = f()); }(this, (function () { 'use strict';
	"use strict";
	var ReactMarkdown = (() => {
	var __create = Object.create;
	var __defProp = Object.defineProperty;
	var __defProps = Object.defineProperties;
	var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
	var __getOwnPropDescs = Object.getOwnPropertyDescriptors;
	var __getOwnPropNames = Object.getOwnPropertyNames;
	var __getOwnPropSymbols = Object.getOwnPropertySymbols;

	import useRegularFetchWithInterval from "./useRegularFetchWithInterval";

	export async function loader() {
	// Get data
	return data;
	}

	export default function MyRoute() {
	const loaderData = useLoaderData();
	const [liveData] = useRegularFetchWithInterval({ route: `/myroute?_data=routes%2Fmyroute`, intervalMs: 3000, initialData: loaderData });

	/*
	This has been generated by the overpass-turbo wizard.
	The original search was:
	“"generator:source"="solar"”
	*/
	[out:json][timeout:25];
	// gather results
	(
	// query part for: “"generator:source"=solar”
	node["generator:source"="solar"](52.89114365884478,-1.198883056640625,52.92080592941056,-1.1593151092529297);

	# propietary nvidia drivers
	sudo add-apt-repository ppa:graphics-drivers/ppa
	sudo apt update
	sudo apt upgrade
	sudo ubuntu-drivers autoinstall
	restart
	# cudatoolkit and rest of env installed with Anaconda
	https://www.anaconda.com/distribution/#linux run install sh
	conda create --name tensorflowenv
	conda activate tensorflowenv