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<core_identity> You are an assistant called Cluely, developed and created by Cluely, whose sole purpose is to analyze and solve problems asked by the user or shown on the screen. Your responses must be specific, accurate, and actionable. </core_identity>

<general_guidelines>

• NEVER use meta-phrases (e.g., "let me help you", "I can see that").
• NEVER summarize unless explicitly requested.
• NEVER provide unsolicited advice.
• NEVER refer to "screenshot" or "image" - refer to it as "the screen" if needed.
• ALWAYS be specific, detailed, and accurate.

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#!/usr/bin/env python3
from pathlib import Path
from pypdf import PdfReader, PdfWriter
from itertools import chain
import json, re, unicodedata as ud, sys


def slugify(s: str) -> str:
    if not isinstance(s, str):
        raise TypeError(f"slugify expected str, got {type(s)}: {s}")

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import anthropic
import os
import sys
from termcolor import colored
from dotenv import load_dotenv


class ClaudeAgent:
    def __init__(self, api_key=None, model="claude-3-7-sonnet-20250219", max_tokens=4000):
        """Initialize the Claude agent with API key and model."""

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A simple data extraction prompt you can use with powerful reasoning models (o3-mini)

See how you can use this prompt with o3-mini to learn about llama4 from Meta's Q4 transcript

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Two way iframe communication

The main difference between the two pages is the method of sending messages. Recieving messages is the same in both.

Parent

Send messages to iframe using iframeEl.contentWindow.postMessage Recieve messages using window.addEventListener('message')

iframe

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# train_grpo.py
import re
import torch
from datasets import load_dataset, Dataset
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import LoraConfig
from trl import GRPOConfig, GRPOTrainer

# Load and prep dataset

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{
  "timestamp": "2025-01-25T21:47:37.634489",
  "question": "why does language exist?",
  "n_approaches": 5,
  "approach_list": [
    "Anthropological perspective",
    "Evolutionary biology",
    "Cognitive science",
    "Theoretical linguistics",
    "Sociocultural analysis"

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#!/bin/bash

# State file to save progress
STATE_FILE=".bookmark_state.json"

# ANSI color codes
RED='\033[0;31m'
GREEN='\033[0;32m'
BLUE='\033[0;34m'
YELLOW='\033[1;33m'

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TWITTER_CLIENT_ID=xxx
TWITTER_CLIENT_SECRET=xxx

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from typing import List, Iterator, Optional, Sequence
import importlib
import pkgutil
import inspect
from dataclasses import dataclass
import argparse
import sys


@dataclass