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Tomoki Yamashita tomorrowkey

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@shisashi
shisashi / LongClickRepeatAdapter.java
Created February 1, 2012 19:03
AndroidのViewに、長押ししたらクリック処理をリピートする処理を付加するアダプタ
package net.shisashi.android.widget;
import android.os.Handler;
import android.view.MotionEvent;
import android.view.View;
import android.view.View.OnLongClickListener;
import android.view.View.OnTouchListener;
public class LongClickRepeatAdapter {
@sys1yagi
sys1yagi / bookmarklet
Created November 9, 2012 09:42 — forked from tomorrowkey/bookmarklet
expand all tree on google site's sitemap. auto!
javascript:(function(){var t = 1000;var r = 3;var s = function(k){return document.getElementsByClassName('goog-tree-expand-icon-'+k);};var d = function(p){var e=document.createEvent('MouseEvents');e.initMouseEvent('mousedown',true,true,window,0,0,0,0,0,false,false,false,false,0,null);while(p.length>0){p[0].dispatchEvent(e);}};var c = function(){var p=s("tplus");var ps = p.length;d(p);var l=s("lplus");var ls = l.length;d(l);if(r>0){if(ps + ls == 0){console.log("retry");r--;}setTimeout(function(){c();}, t);}};c();})();
@nolanlawson
nolanlawson / completion-for-gradle.md
Last active September 25, 2024 12:51
Gradle tab completion for Bash. Works on both Mac and Linux.

Gradle tab completion script for Bash

A tab completion script that works for Bash. Relies on the BSD md5 command on Mac and md5sum on Linux, so as long as you have one of those two commands, this should work.

Usage

$ gradle [TAB]

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.

@k16shikano
k16shikano / SKILL.md
Last active July 22, 2026 01:47
japanese-tech-writing/SKILL
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