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@GusGA
GusGA / pt_guide.md
Last active August 8, 2026 02:23
Guía de configuración de equipos en packet tracer

Script de comandos de packet tracer

Equipo Switch

Entrar en modo EXEC privilegiado

Ejecutar el comando enable

Switch> enable
@naim149
naim149 / GH-600-public-study-guide.md
Created May 24, 2026 15:08
GH-600 Public Study Guide

GH-600 Public Study Guide

Markdown-only workbook for Exam GH-600: Developing in Agentic AI Systems.

Last updated: May 24, 2026.

This version is organized around the official GH-600 domains. Each domain explains the concepts, shows the GitHub implementation artifacts, and includes examples you should be able to read in YAML, Markdown, CLI output, PR timelines, and audit logs.

Public sharing note: this guide is not an exam dump and does not contain real exam questions or answer choices. It is a structured study workbook built from official Microsoft and GitHub documentation, with practical examples written for learning and review.

@Maciejdziuba
Maciejdziuba / README.md
Last active August 8, 2026 03:57
The Software Factory Playbook — Dex Horthy's 4-gate workflow (Product → Architecture → Program Design → Vertical Slices) as an installable Claude Code skill. From the Dex Horthy episode on David Ondrej's podcast.

The Software Factory Playbook — Dex Horthy's 4-gate workflow as a skill

A Claude Code Agent Skill built from Dex Horthy's (HumanLayer) playbook on David Ondrej's podcast.

"Once the model has written thousands of lines of code, it is harder to change. The sessions that generate design docs are context-light — you get the most model intelligence when you do the hard thinking early."

By default, agents build horizontally: all the backend, then all the frontend, then a 2,000-line diff lands in your lap and reviewing it is your problem. This skill flips that. Every decision that matters gets made before the code exists — where changing your mind costs a sentence, not a rewrite.

What it does

@AneurysAdames
AneurysAdames / office-activation.md
Created September 4, 2024 12:01
Office Activation Command by Omman

Office 2021

Method 1: Using my command line

Step 1.1: Open cmd program with administrator rights.

  • First, you need to open cmd in the admin mode, then run all commands below one by one.

Step 1.2: Get into the Office directory in cmd.

  • For x86 and x64
cd /d %ProgramFiles(x86)%\Microsoft Office\Office16
cd /d %ProgramFiles%\Microsoft Office\Office16
@olsido
olsido / _github-actions-composite-actions.md
Last active August 8, 2026 01:33
GitHub Actions - Composite Actions

GitHub Actions - Composite Actions

Use Case

Composite actions allow you to group multiple steps into a single action, simplifying your workflow files. This is useful for encapsulating common sequences of steps that are repeated across multiple workflows, reducing redundancy and making workflows easier to maintain.

Implementation

Composite action definitions are metadata files, not workflows, and are therefore not placed in the “workflows” directory. Instead, they are typically found in the “actions” directory or another specified location. In our case, the composite action is defined in .github/actions/composite-action–definition/action.yml.

@jatinkrmalik
jatinkrmalik / oh-my-openagent.json
Last active August 8, 2026 01:26
[August 2026] Canonical, versioned home for the OpenCode Go + oh-my-openagent routing snippet.
{
"$schema": "https://raw.githubusercontent.com/code-yeongyu/oh-my-openagent/dev/assets/oh-my-opencode.schema.json",
"model_fallback": true,
"runtime_fallback": {
"enabled": true,
"retry_on_errors": [400, 429, 503, 529],
"max_fallback_attempts": 3,
"cooldown_seconds": 60,
"timeout_seconds": 30,
"notify_on_fallback": true
"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.
@karpathy
"""
import os # os.path.exists
import math # math.log, math.exp
@debasishg
debasishg / dod.md
Last active August 8, 2026 01:11
Data oriented design, hardware awareness, cache awareness in data structures & algorithms

Performance Engineering, Hardware and cache awareness with algorithm and data structures

  1. Parallel Computing Course - Stanford CS149, Fall 2023
  2. Performance-Aware Programming Series by Casey Muratori
  3. Algorithms for Modern Hardware
  4. Computer Systems: A Programmer's Perspective, 3/E - by Randal E. Bryant and David R. O'Hallaron, Carnegie Mellon University
  5. Performance Engineering Of Software Systems - am MITOCW course
  6. Parallel Programming 2020 by NHR@FAU
  7. Cpu Caches and Why You Care - by Scott Meyers
  8. [Optimizing a ring buffer for throughput](https://rig
@beached
beached / C++ normal operators.md
Last active August 8, 2026 00:55
A list of the normal signatures of C++ operators that allow overloading

C++ Operator Signatures

This is a list of C++ operators that can be overloaded and their normal signatures(a.k.a what an int would do). The order is the preffered order to use them(The first one listed is often preffered)

Arithmetic

operator+ addition

  • free function -> T operator+( T const & lhs, T const & rhs )
  • member function -> T operator+( T const & rhs ) const

operator+ unary plus

  • member function -> T operator+( ) const
@jboner
jboner / latency.txt
Last active August 8, 2026 00:54
Latency Numbers Every Programmer Should Know
Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference 0.5 ns
Branch mispredict 5 ns
L2 cache reference 7 ns 14x L1 cache
Mutex lock/unlock 25 ns
Main memory reference 100 ns 20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy 3,000 ns 3 us
Send 1K bytes over 1 Gbps network 10,000 ns 10 us
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD