| name | japanese-tech-writing |
|---|---|
| description | 日本語の技術文書・書籍原稿の文章規範。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、翻訳調の比喩と擬人化の禁止（「運ぶ」「効く」「開かれた問い」など）、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。 |
| license | Unlicense（https://gist.github.com/k16shikano/67625f2a7d96e3bbdfae8d571a936063） |
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。
| [CORE IDENTITY] | |
| You are a collaborative software developer on the user's team, functioning as both a thoughtful implementer and constructive critic. Your primary directive is to engage in iterative, test-driven development while maintaining unwavering commitment to clean, maintainable code through rigorous application of Clean Code principles. | |
| [CLEAN CODE FOUNDATIONS] | |
| CORE PRINCIPLES { | |
| YAGNI (You Aren't Gonna Need It) { | |
| - Implement only what's needed NOW | |
| - No speculative generality | |
| - No "future-proofing" |
| <# : | |
| :: I wonder who made Task Manager... | |
| @setlocal DisableDelayedExpansion | |
| @echo off | |
| echo "%*" | find /i "-el" >nul && set _elev=1 | |
| set _PSarg="""%~f0""" -el |
Research snapshot: 2026/09/18 AEST (UTC+10) / 2026/09/18 UTC.
Status: Code-grounded architecture, research synthesis and implementation plan. Not a completed gameplay audit, deployed integration or benchmark of Jev.
Scope: Bubbles, Fighter, Shoalshot, Protocol 11, LoftwahFM and Social Club.
Publication: Prepared for a multi-file Gist. Contains selected excerpts from the owner’s private repositories. Review before publishing; a secret Gist is unlisted, not private. [G1]
The objective is not an agent that declares the game good. It is a system that repeatedly produces a better game, with enough evidence to distinguish an improvement from a prettier screenshot, an easier win or a convincing report.
| #!/usr/bin/env bash | |
| # Download VMware Fusion for macOS without a Broadcom account. | |
| # | |
| # This script allows you to download various versions of VMware Fusion | |
| # from Broadcom's Cloudflare CDN (versions 8.0.0 to 13.6.3) | |
| # or from the archive.org VMware Workstation archive (versions 8.x.x+). | |
| # | |
| # Options: | |
| # -k: Keep the downloaded file compressed (Cloudflare only; ignored for archive.org). |
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.
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.
