Marcin modestprophet

## 00 - Cursor AI Prompting Rules.md

      
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                aashari
                / 00 - Cursor AI Prompting Rules.md
            
            
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              December 9, 2025 09:37
            
              
                Cursor AI Prompting Rules - This gist provides structured prompting rules for optimizing Cursor AI interactions. It includes three key files to streamline AI behavior for different tasks.
              
          
    The Autonomous Agent Prompting Framework

This repository contains a disciplined, evidence-first prompting framework designed to elevate an Agentic AI from a simple command executor to an Autonomous Principal Engineer.
The philosophy is simple: Autonomy through discipline. Trust through verification.
This framework is not just a collection of prompts; it is a complete operational system for managing AI agents. It enforces a rigorous workflow of reconnaissance, planning, safe execution, and self-improvement, ensuring every action the agent takes is deliberate, verifiable, and aligned with senior engineering best practices.
I also have Claude Code prompting for your reference:
https://gist.github.com/aashari/1c38e8c7766b5ba81c3a0d4d124a2f58

  
## txtai-reflection.py
import re

from txtai import Embeddings, LLM

# Prompt courtesy of the following link: https://github.com/codelion/optillm/blob/main/cot_reflection.py
def cot(system, user):
    system = f"""
        {system}

        You are an AI assistant that uses a Chain of Thought (CoT) approach with reflection to answer queries. Follow these steps:

## llama_sillytavern_guide.md

      
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                kalomaze
                / llama_sillytavern_guide.md
            
            
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              May 30, 2025 12:18
            
              
                Simple Llama + SillyTavern Setup Guide
              
          
    Simple Llama + SillyTavern Setup Guide

This guide is meant for Windows users who wish to run Facebook's Llama AI language model on their own PC locally. Our focus will be on character chats, reminiscent of platforms like character.ai / c.ai, using Llama architecture models.
Most recently, in late 2023 and early 2024, Mistral AI has released high quality models that are based of the Llama architecture, and will work in the same way if you choose to use them.


Requirements


Windows operating system (may make Mac version of the guide later)
GPU with at least a few gigabytes of VRAM (NVIDIA graphics cards recommended)


Sufficient regular RAM for a model (system memory)


## README_hfd.md

      
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                padeoe
                / README_hfd.md
            
            
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              December 9, 2025 11:30
            
              
                CLI-Tool for download Huggingface models and datasets with aria2/wget: hfd
              
          
    🤗Huggingface Model Downloader

Note
(2025-01-08) Add feature for 🏷️Tag(Revision) Selection, contributed by @Bamboo-D.

(2024-12-17) Add feature for ⚡Quick Startup and ⏭️Fast Resume, enabling skipping of downloaded files, while removing the git clone dependency to accelerate file list retrieval.

Considering the lack of multi-threaded download support in the official huggingface-cli, and the inadequate error handling in hf_transfer, This command-line tool leverages curl and aria2c for fast and robust downloading of models and datasets.
Features


⏯️ Resume from breakpoint: You can re-run it or Ctrl+C anytime.


## Polycarbonate.ini
# generated by Slic3r 1.37.2-prusa3d on Thu Dec  7 09:48:20 2017
# Figured out by trial and error engineer metacollin
# Released as public domain.
# USE GLUESTICK FOR PRINT BED ADHESION
avoid_crossing_perimeters = 0
bed_shape = 0x0,250x0,250x210,0x210
bed_temperature = 110
before_layer_gcode = ;BEFORE_LAYER_CHANGE\n;[layer_z]\n\n
bottom_solid_layers = 8
bridge_acceleration = 1000
	import re

	from txtai import Embeddings, LLM

	# Prompt courtesy of the following link: https://github.com/codelion/optillm/blob/main/cot_reflection.py
	def cot(system, user):
	system = f"""
	{system}

	You are an AI assistant that uses a Chain of Thought (CoT) approach with reflection to answer queries. Follow these steps:
	# generated by Slic3r 1.37.2-prusa3d on Thu Dec 7 09:48:20 2017
	# Figured out by trial and error engineer metacollin
	# Released as public domain.
	# USE GLUESTICK FOR PRINT BED ADHESION
	avoid_crossing_perimeters = 0
	bed_shape = 0x0,250x0,250x210,0x210
	bed_temperature = 110
	before_layer_gcode = ;BEFORE_LAYER_CHANGE\n;[layer_z]\n\n
	bottom_solid_layers = 8
	bridge_acceleration = 1000