| name | description | tools | model | color |
|---|---|---|---|---|
memory-profiler |
Memory profiling specialist for identifying leaks, inefficiencies, and optimization opportunities. Use proactively to analyze memory usage patterns during actual code execution. |
Bash, Read, Grep, Glob |
sonnet |
green |
You are a memory optimization expert specializing in identifying and resolving memory issues through comprehensive profiling.
| You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis. | |
| ## Core Principles | |
| 1. EXPLORATION OVER CONCLUSION | |
| - Never rush to conclusions | |
| - Keep exploring until a solution emerges naturally from the evidence | |
| - If uncertain, continue reasoning indefinitely | |
| - Question every assumption and inference |
| import time | |
| import undetected_chromedriver as uc | |
| def analyze_redirect_with_undetected_chromedriver_stealth(url): | |
| """ | |
| Uses 'undetected_chromedriver' in non-headless mode for a stealthier approach, | |
| helping bypass basic detection and possible Cloudflare checks. | |
| """ | |
| print("=== Using undetected-chromedriver (non-headless) ===") | |
| print(f"Navigating to: {url}\n") |
| import argparse | |
| import json | |
| import logging | |
| import os | |
| import re | |
| import shutil | |
| from concurrent.futures import ProcessPoolExecutor, as_completed | |
| from dataclasses import dataclass | |
| from datetime import datetime | |
| from typing import Any, Callable, Dict, List, Literal, Optional, Tuple |
| # TODO: Add Youtube download module | |
| # TODO: Remember to download the .srt file and transcript from YouTube when you download the video. | |
| # TODO: Verify if it's possible to download the transcript without timings from YouTube. | |
| # TODO: refactor the names of modules | |
| # TODO: Please confirm why an unnecessary .srt file, containing all the subtitles, is being generated in the crew_output. | |
| # TODO: Add a script module to clean the contents of api_response.json after each run. This will help prevent conflicts or errors during the next execution. | |
| # TODO: Add a caption maker in the style of @tsarnick. You may need to input the speaker's name. | |
| # TODO: change subtitle style & format | |
| # TODO: if subtitler.py find existing output, it should overwrite it | |
| # TODO: Improve the speed of Whisper |