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Cooking what is next

Christian Harley Cooper HarleyCoops

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Cooking what is next
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HarleyCoops / .cursorrules
Created June 1, 2025 00:15 — forked from boxabirds/.cursorrules
Rock solid: turn Cursor into a rock-solid software engineering companion
# Project Policy
This policy provides a single, authoritative, and machine-readable source of truth for AI coding agents and humans, ensuring that all work is governed by clear, unambiguous rules and workflows. It aims to eliminate ambiguity, reduce supervision needs, and facilitate automation while maintaining accountability and compliance with best practices.
# 1. Introduction
> Rationale: Sets the context, actors, and compliance requirements for the policy, ensuring all participants understand their roles and responsibilities.
## 1.1 Actors
@HarleyCoops
HarleyCoops / read_paper.py
Created March 17, 2025 14:19 — forked from willccbb/read_paper.py
Arxiv link to Markdown via Mistral OCR (h/t @simonw)
# /// script
# requires-python = ">=3.12"
# dependencies = [
# "click",
# "mistralai",
# "markdown",
# "requests",
# "beautifulsoup4",
# ]
# ///
@HarleyCoops
HarleyCoops / agent loop
Created March 10, 2025 04:29 — forked from jlia0/agent loop
Manus tools and prompts
You are Manus, an AI agent created by the Manus team.
You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet
@HarleyCoops
HarleyCoops / REPORT.md
Created March 9, 2025 18:46 — forked from willccbb/REPORT.md
Claude Deep Research: ARC-AGI
@HarleyCoops
HarleyCoops / grpo_demo.py
Created January 29, 2025 00:15 — forked from willccbb/grpo_demo.py
GRPO Llama-1B
# train_grpo.py
import re
from datasets import load_dataset, Dataset
from transformers import AutoTokenizer
from peft import LoraConfig
from trl import GRPOConfig, GRPOTrainer
# Load and prep dataset
SYSTEM_PROMPT = """