hudsonbrendon

🎬 Higgsfield MCP no Claude — Prompt + Guia de Setup

Como prometido no reel: conecta o Higgsfield no Claude via MCP e deixa a IA gerar seus vídeos UGC virais (ganchos + vídeo) e postar sozinha nas suas redes. Começa de graça, com 100 créditos.

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⚙️ Setup (5 minutos)

tilda

How to play PriConne on PC without hassling with VPNs constantly

_{Sidenote: you will still need one, but by the end of the guide you should only need to deal with this process once per year, assuming nothing changes.}

Note

This guide only covers VPN setup, creating DMM account & installing Game Player is considered out of scope (this is long enough as is).

Use Nyatsu's DMM guide for guidance on getting set up, or check #jp-questions pins in maincord.

Warning

This guide was rewritten in August 2025 to no longer use TunnlTo. If you need the old version, it can still be accessed here.

fbraz3

#!/bin/sh

#
# FOR USE IN OPENWRT
# This script creates a guest network fully isolated from the main one.
# Tested on a Xiaomi AX3000T router; should work on any OpenWRT-powered router.
#
# - Ensure the Wi-Fi interfaces retain their default names (radio0 and radio1).
# - For enable download/upload limits, you MUST install the sqm-scripts package on your OpenWRT router.
# - For enable roaming (aka wifi mesh):

vitkuz573

Product	Year	Version	Product Keys
Visual Studio 2026 18.x 
Professional: NVTDK-QB8J9-M28GR-92BPC-BTHXK
Enterprise: VYGRN-WPR22-HG4X3-692BF-QGT2V

https://x.com/massgravel/status/1988306014371008542

Visual Studio 2022	2021	17.x	Professional:
TD244-P4NB7-YQ6XK-Y8MMM-YWV2J
Enterprise:

m1stadev

#!/usr/bin/env python3

import argparse
import requests
import sys


class IPSW:
	def __init__(self, device, version=None, buildid=None):
		self.device = device

k16shikano

name	cognitive-rhythm-writing
description	説明的な文章に緩急を設計するための規範。緩急を装飾ではなく認知モードの切替（観察→逡巡→断定→再観察）と未回収の緊張の管理として扱い、文の拍、段落の密度波形、節の入り方、緩みと駄文の判別、執筆後の機械的な点検手順を定める。読み物として読ませたい章・記事・解説文を生成するとき、または「密度はあるが平坦でおもしろくない」文章を診断・修正するときに使用する。

認知リズムを生むための日本語ライティング規範

密度の高い文章が退屈になるのは、情報が多いからではなく、全文が同じ認知モードで書かれているからである。 この規範は、読者の認知モード（観察する、迷う、確信する、確かめ直す）を意図的に切り替え、常に「続きを読む理由」を維持することで、読み進める推進力を作る。

k16shikano

name	japanese-tech-writing
description	日本語の技術文書・書籍原稿の文章規範。整形（一文一行、引用ブロック、脚注、コラム記法）、段落と論証の構成（パラグラフライティング）、論証の厳密さ（ツッコミどころの除去）、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。

日本語技術文書の文章規範

日本語で技術的な原稿（書籍の章、記事、解説文）を書く・推敲するときは、以下の規範に従う。

整形

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.

WildSiphon

4.0.0:
  Windows: https://desktop.docker.com/win/main/amd64/67817/Docker%20Desktop%20Installer.exe
  Mac with Intel chip: https://desktop.docker.com/mac/main/amd64/67817/Docker.dmg
  Mac with Apple chip: https://desktop.docker.com/mac/main/arm64/67817/Docker.dmg
  release_date: '2021-08-31'
4.0.1:
  Windows: https://desktop.docker.com/win/main/amd64/68347/Docker%20Desktop%20Installer.exe
  Mac with Intel chip: https://desktop.docker.com/mac/main/amd64/68347/Docker.dmg
  Mac with Apple chip: https://desktop.docker.com/mac/main/arm64/68347/Docker.dmg
  release_date: '2021-09-13'