Generalized versions of all root .md files used by OpenClaw. These files are loaded into the agent's system prompt on every request (except MEMORY.md which is conditional).
Copy these as starting points and customize for your own setup. Replace <placeholders> with your values.
| ### Tutorial oficial: | |
| https://docs.microsoft.com/en-us/windows/wsl/install-win10 | |
| ### Passo 1 (PowerShell Admin): | |
| dism.exe /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart | |
| ### Passo 2 (PowerShell Admin): | |
| dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart | |
| ### Passo 3 |
A production-tested architecture for building type-safe Next.js applications with Effect.ts. Combines SSR, Server Actions, React Query, and layered dependency injection.
┌─────────────────────────────────────────────────────────────────────────┐
│ CLIENT (React) │
Guia simples e direto para introdução ao Git e ao GitHub, ideal para iniciantes que querem começar rapidamente.
Site de referência sobre git:
Companion prompts for the video: OpenClaw after 50 days: 20 real workflows (honest review)
These are the actual prompts I use for each use case shown in the video. Copy-paste them into your agent and adjust for your setup. Most will work as-is or the agent will ask you clarifying questions.
Each prompt describes the intent clearly enough that the agent can figure out the implementation details. You don't need to hand-hold it through every step.
My setup: OpenClaw running on a VPS, Discord as primary interface (separate channels per workflow), Obsidian for notes (markdown-first), Coolify for self-hosted services.
| """ | |
| 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 |
22 copy/paste-ready prompts for building your own AI agent system. Each prompt builds a functional system or implements a proven best practice you can hand to an AI coding assistant.
Replace placeholders like <your-workspace>, <your-messaging-platform>, and <your-model> with your own values.
| # Define the directory to hash | |
| $dir = "C:\Path\To\Directory" | |
| # Define the hash algorithm to use | |
| $hashAlgorithm = "SHA256" | |
| # Get all files in the directory (including subdirectories) | |
| $files = Get-ChildItem -Path $dir -Recurse | Where-Object {!$_.PSIsContainer} | |
| # Create an empty hash object |
| /* -------------------------------------- | |
| GTA: SA Save File 010 template | |
| Revision: 03/07/08 | |
| Based on GTA: SA save format article from: | |
| www.gtamodding.com/index.php?title=GTA_SA_Saves | |
| Credits go to CyQ, pdescobar, OrionSR and everyone who contributed in this article. | |
| by Seemann |