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@aashari
aashari / 00 - Cursor AI Prompting Rules.md
Last active November 18, 2025 12:16
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

@panisson
panisson / ncp.py
Last active June 9, 2020 01:44
Nonnegative Tensor Factorization, based on the Matlab source code available at Jingu Kim's home page: https://sites.google.com/site/jingukim/home#ntfcode Requires the installation of Numpy and Scikit-Tensor (https://github.com/mnick/scikit-tensor). For examples, see main() function.
# Copyright (C) 2013 Istituto per l'Interscambio Scientifico I.S.I.
# You can contact us by email ([email protected]) or write to:
# ISI Foundation, Via Alassio 11/c, 10126 Torino, Italy.
#
# This work is licensed under a Creative Commons 4.0
# Attribution-NonCommercial-ShareAlike License
# You may obtain a copy of the License at
# http://creativecommons.org/licenses/by-nc-sa/4.0/
#
# This program was written by Andre Panisson <[email protected]> at