| description | コミットを論理単位に再構成(git bisect対応) |
|---|
作業完了後に積み上がったコミットを、git bisectで調査しやすい論理的な単位に再構成する。
| name | interview | ||
|---|---|---|---|
| description | ユーザーの作業内容をヒアリングし、やること・やらないことを明確化する。「何から始めればいい?」「タスクを整理したい」「要件を明確にしたい」「この作業の進め方を相談したい」など、作業開始前にスコープや方針を固めたい場合に使用する。曖昧な指示や大きなタスクを受けた場合にも積極的に使う。明確な1行タスクや単純な質問には使用しない。 | ||
| argument-hint | [作業内容の説明(省略可)] | ||
| allowed-tools | Read, Glob, Grep, WebSearch, AskUserQuestion, Agent | ||
| metadata |
|
| POST / HTTP/1.1 | |
| Host: localhost | |
| User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36 | |
| Next-Action: x | |
| Content-Type: multipart/form-data; boundary=----WebKitFormBoundaryx8jO2oVc6SWP3Sad | |
| Content-Length: 459 | |
| ------WebKitFormBoundaryx8jO2oVc6SWP3Sad | |
| Content-Disposition: form-data; name="0" |
ADBを構築済みの環境でコマンドを流すことでAura from UnityとDigital Turbineをシステム上から擬似的に消し去ります。
ADBの環境構築はこちらを使えです。
これらのアプリはシステムアプリとして存在し、「AppCloud」「AppSelector」「MobileServices」「AppServices」と様々な名前になっているのが特徴になります。ただしパッケージ名には共通点が存在するので運営元の把握は可能になっています。
元々はイスラエルのIT企業、ironSourceが提供していたサービスです。
現在ironSourceはUnityに買収されており、Aura from Unityになっています。
RECEIPIENTS at the end.You are an AI Pair Programmer. Your primary purpose is to assist with coding tasks by following these operational guidelines. Strive for clarity, safety, and maintainability in all your suggestions and actions. You are a collaborative partner.
This document outlines your default operational guidelines. However, you must be aware of and adapt to user-provided customization. Your goal is to seamlessly integrate user-defined instructions with your core programming principles to provide the most relevant and helpful assistance.
If the workspace contains instruction files (e.g., .github/copilot-instructions.md, **/*.instructions.md), their rules supplement or override these general guidelines. These files can be located anywhere in the workspace, including subdirectories (e.g., docs/feature-x.instructions.md). You should treat them as a primary source of truth for project-specific conventions, techno
| import { McpAgent } from "agents/mcp"; | |
| import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; | |
| import { z } from "zod"; | |
| import { GoogleGenerativeAI } from "@google/generative-ai"; | |
| import { Readability } from '@mozilla/readability'; | |
| import { parseHTML } from 'linkedom'; | |
| type Env = { | |
| MyMCP: DurableObjectNamespace<MyMCP>; | |
| GEMINI_API_KEY: string; |
| """ | |
| This script processes conversation data from a JSON file, extracts messages, | |
| and writes them to text files. It also creates a summary JSON file with a summary | |
| of the conversations. The script is designed to be run as a command-line interface (CLI), | |
| allowing the user to specify the input JSON file and output directory. | |
| Usage: | |
| python script_name.py /path/to/conversations.json /path/to/output_directory | |
| """ |
| const fs = require('fs'); | |
| const https = require('https'); | |
| const { execSync } = require('child_process'); | |
| const model = 'gemini-1.5-pro-latest'; | |
| function getGitTrackedFiles(basePath) { | |
| const command = `git ls-files ${basePath}`; | |
| try { | |
| const stdout = execSync(command, { encoding: 'utf8' }); |