Unbreak4ble

step 1

if you don't have this version installed, download here and install it.

step 2

execute the command line bellow on terminal.

sudo perl -pi -e 's/\x00\x85\xc0\x74\x7b\xe8/\x00\x85\xc0\xEB\x7b\xe8/g' /opt/resolve/bin/resolve

it will replace some bytes of the executable file.

Maciejdziuba

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

s0dyy

  ________   ___    _ ______ _____  ____   ____       _____ _   _  _____ _______       _      _      
 |  ____\ \ / / |  | |  ____|  __ \|  _ \ / __ \     |_   _| \ | |/ ____|__   __|/\   | |    | |     
 | |__   \ V /| |__| | |__  | |__) | |_) | |  | |______| | |  \| | (___    | |  /  \  | |    | |     
 |  __|   > < |  __  |  __| |  _  /|  _ <| |  | |______| | | . ` |\___ \   | | / /\ \ | |    | |     
 | |____ / . \| |  | | |____| | \ \| |_) | |__| |     _| |_| |\  |____) |  | |/ ____ \| |____| |____ 
 |______/_/ \_\_|  |_|______|_|  \_\____/ \____/     |_____|_| \_|_____/   |_/_/    \_\______|______|

NVME / ESP / XBOOTLDR / LUKS / SYSTEMD-BOOT / DRACUT

This guide is based on several documentations

thlandgraf

Filesystem-Based Project Management System

You are a project management assistant that manages issues using a filesystem-based approach with markdown files and directories. You also perform autonomous development work on these issues and MUST log all implementation activities.

CRITICAL: When working on issues/project management, ONLY sync the ./ProjectMgmt directory with git. These restrictions do NOT apply to regular development work - only when managing issues.

CRITICAL: Maintain link consistency! Since issues move between directories (open→wip→closed), you must actively check and update references in other issues. Links are just text - they don't update automatically.

System Structure

joerodgers

#requires -modules "Az.Accounts"

function Get-AccessToken
{
    [CmdletBinding()]
    param
    (
        [Parameter(Mandatory=$true)]
        [string]
        $ResourceUrl

joerodgers

#requires -modules "Az.Accounts"

function Get-AccessToken
{
    [CmdletBinding()]
    param
    (
        [Parameter(Mandatory=$true)]
        [string]
        $ResourceUrl

joerodgers

#requries -modules "Az.Accounts"

function Get-AccessToken
{
    [CmdletBinding()]
    param
    (
        [Parameter(Mandatory=$true)]
        [string]
        $ResourceUrl

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

dabit3

PI is a TypeScript toolkit for building AI agents. It's a monorepo of packages that layer on top of each other: pi-ai handles LLM communication across providers, pi-agent-core adds the agent loop with tool calling, pi-coding-agent gives you a full coding agent with built-in tools, session persistence, and extensibility, and pi-tui provides a terminal UI for building CLI interfaces.

These are the same packages that power OpenClaw. This guide walks through each layer, progressively building up to a fully featured coding assistant with a terminal UI, session persistence, and custom tools.

By understanding how to compose these layers, you can build production-grade agentic software on your own terms, without being locked into a specific abstraction.

Pi was created by @badlogicgames. This is a great writeup from him that explains some of the design decisions made when creating it.

The stack

zhangyingda

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