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@ruvnet
ruvnet / *claude.md
Last active September 17, 2025 20:46
The Claude-SPARC Automated Development System is a comprehensive, agentic workflow for automated software development using the SPARC methodology with the Claude Code CLI

Claude-SPARC Automated Development System For Claude Code

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Overview

The SPARC Automated Development System (claude-sparc.sh) is a comprehensive, agentic workflow for automated software development using the SPARC methodology (Specification, Pseudocode, Architecture, Refinement, Completion). This system leverages Claude Code's built-in tools for parallel task orchestration, comprehensive research, and Test-Driven Development.

Features

@ipenywis
ipenywis / cursor-memory-bank-rules.md
Last active September 17, 2025 14:48
Cursor Memory Bank

Cursor's Memory Bank

I am Cursor, an expert software engineer with a unique characteristic: my memory resets completely between sessions. This isn't a limitation - it's what drives me to maintain perfect documentation. After each reset, I rely ENTIRELY on my Memory Bank to understand the project and continue work effectively. I MUST read ALL memory bank files at the start of EVERY task - this is not optional.

Memory Bank Structure

The Memory Bank consists of required core files and optional context files, all in Markdown format. Files build upon each other in a clear hierarchy:

flowchart TD
@aashari
aashari / 00 - Cursor AI Prompting Rules.md
Last active September 16, 2025 16:07
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

@amiraliakbari
amiraliakbari / TrxMultiSend.sol
Created October 27, 2020 13:44
Tron Multi-send contract
pragma solidity ^0.5.0;
/**
* SPDX-License-Identifier: UNLICENSED
*/
/**
* @title SafeMath
* @dev Math operations with safety checks that revert on error
*/
library SafeMath {
@eriknovak
eriknovak / logstash-pg-es.md
Last active August 19, 2024 19:02
Instructions for setting up the Logstash configuration for synching PostgreSQL with Elasticsearch

Populating Elasticsearch Index with Logstash

Logstash is a free and open server-side data processing pipeline that ingests data from a multitude of sources, transforms it, and then sends it to your favorite "stash."

This section describes how one can use it on UNIX to migrate data from a PostgreSQL database to elasticsearch.

The Prerequisites

@EddiG
EddiG / wireshark.md
Last active April 11, 2025 19:32
How to decrypt SSL/TLS traffic in Wireshark on MacOS

The main point is to save the SSL/TLS keys those used by the web browser (SSLKEYLOGFILE=/tmp/tmp-google/.ssl-key.log).
In the example below we run brand new instance of Google Chrome (--user-data-dir=/tmp/tmp-google do the trick):
SSLKEYLOGFILE=/tmp/tmp-google/.ssl-key.log /Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --user-data-dir=/tmp/tmp-google
Then run the Wireshark and open the Preferences -> Protocols -> SSL, where we put the path to the SSL keys log file into the (Pre)-Master-Secret log filename field.
Now all SSL/TLS traffic from this browser instance will be decrypted.

var fpdefs = {
vertex_shader :
'attribute vec3 a_vertexPosition,a_vertexNormal;attribute vec2 a_vert' +
'exTexture;uniform mat4 u_mvMatrix,u_pMatrix,u_nMatrix;uniform vec3 u' +
'_lightPosition;varying vec3 v_normal;varying vec2 v_texture;varying ' +
'vec3 v_eyeVec,v_lightRay;void main(){vec4 vertex=u_mvMatrix*vec4(a_v' +
'ertexPosition,1.);v_normal=vec3(u_nMatrix*vec4(a_vertexNormal,1.));v' +
'ec4 light=u_mvMatrix*vec4(u_lightPosition,1.);v_lightRay=vertex.rgb-' +
'light.rgb;v_eyeVec=-vec3(vertex.rgb);gl_Position=u_pMatrix*vertex;gl' +
'_PointSize=1.;v_texture=a_vertexTexture*3.-vec2(1.,1.);}',
@shadiakiki1986
shadiakiki1986 / README.md
Last active October 13, 2022 18:22
Run a Scrapy spider in a Celery Task (in django)

My first shot at fixing this was in tasks.py file below.

But then that just gave a "unhandled error in deferred", so I went on to use CrawlRunner.

That showed no output at all anymore, and didn't run as expected.

Eventually, I just settled on CELERY_WORKER_MAX_TASKS_PER_CHILD=1=1 in settings.py

Note: CELERY_WORKER_MAX_TASKS_PER_CHILD=1 is for django. Celery without django probably drops the CELERY_ prefix

@levsthings
levsthings / docker-ce-ubuntu-17.10.md
Last active April 13, 2023 21:05
Install Docker CE on Ubuntu 17.10

Installing Docker CE on Ubuntu 17.10 Artful Aardvark

As of 20/10/2017, a release file for Ubuntu 17.10 Artful Aardvark is not available on Download Docker.

If you are used to installing Docker to your development machine with get-docker script, that won't work either. So the solution is to install Docker CE from the zesty package.

sudo apt-get update
sudo apt-get install apt-transport-https ca-certificates curl software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
@edsiper
edsiper / kubernetes_commands.md
Last active April 8, 2025 09:02
Kubernetes Useful Commands