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@palesz
palesz / recovery.go
Last active June 4, 2026 21:53
Navidrome password recovery
package main
// Usage:
// copy this code to https://replit.com/languages/go
// and change the encrypted_password variable below (see comments below for steps to acquite the encrypted password)
import (
"crypto/aes"
"crypto/cipher"
"encoding/base64"
@chrismo
chrismo / aa-readme.md
Last active June 4, 2026 21:51
Jazz themed Claude spinnerVerbs
git clone https://gist.github.com/b35434593e06fe4a2ea6eca13e4786da.git
cd b35434593e06fe4a2ea6eca13e4786da
./install-superdb.sh
./configure-claude.sh
@klucsik
klucsik / esp32-image-to-flask.ino
Created January 2, 2020 22:53
esp32-cam image to flask with http-client, the simplest way
/*********
ESPCAM image to flask with http-client library
based on:
Rui Santos
Complete project details at https://RandomNerdTutorials.com/esp32-cam-take-photo-save-microsd-card
IMPORTANT!!!
- Select Board "AI Thinker ESP32-CAM"
- GPIO 0 must be connected to GND to upload a sketch

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.

@TRB-Exe
TRB-Exe / windowsfastactivation.md
Last active June 4, 2026 21:46
Windows 10 fast activation from cmd

Super easy and fast activation from command prompt

Run cmd.exe with Admin permissions and enter commands for your system. Note: the keys is for Professional editions of Windows.

windows 10/11

slmgr /ipk W269N-WFGWX-YVC9B-4J6C9-T83GX
slmgr /skms kms.digiboy.ir
slmgr /ato
@devbrother2024
devbrother2024 / claude-code-harness-workflow-prompts.md
Last active June 4, 2026 21:40
개발동생 - Claude Code 하네스 레거시 스캔 & 다이어트 워크플로우 프롬프트

개발동생 - Claude Code 하네스 레거시 스캔 & 다이어트 워크플로우 프롬프트

Claude Code Dynamic Workflows로 내 AI 코딩 하네스를 점검하고 정리하기 위한 프롬프트입니다.

이 프롬프트는 두 단계로 나누어 쓰는 것을 권장합니다.

  1. /harness-legacy-scan: 읽기 전용 진단
  2. /harness-diet: 승인된 low-risk 항목만 정리

삭제나 권한 변경보다 먼저 진단을 수행하는 흐름입니다. 모든 규칙이 레거시는 아니고, 실제 실수를 막는 안전장치는 유지해야 합니다.

name vibecoder-review
description Practical OWASP-focused security review for fast-moving codebases built with AI assistance - catches common patterns where speed trumps security (exposed secrets, auth bypasses, missing access controls, injection vulnerabilities)

Vibecoder Security Review

Overview

Target audience: Fast-moving codebases built by developers using AI assistance, rapid prototyping tools, and modern frameworks. These projects prioritize speed and iteration, often skipping security fundamentals.

@ole
ole / thirty-days-of-metal.md
Last active June 4, 2026 21:33
Warren Moore – Thirty Days of Metal
@FlyinPancake
FlyinPancake / get-ghostty-themes.sh
Created November 2, 2025 17:09
Download and install all ghostty themes from mbadolato/iTerm2-Color-Schemes
#!/bin/bash
mkdir -p ~/.config/ghostty/themes && \
tmpdir=$(mktemp -d) && \
git clone --depth 1 --filter=blob:none --sparse https://github.com/mbadolato/iTerm2-Color-Schemes.git "$tmpdir" && \
cd "$tmpdir" && \
git sparse-checkout set ghostty && \
rsync -a ghostty/ ~/.config/ghostty/themes/ && \
cd ~
rm -rf "$tmpdir"