| Agent | Project | User |
|---|---|---|
| ClaudeCode | <REPO_DIR>/CLAUDE.md<REPO_DIR>/.claude/CLAUDE.md |
~/.claude/CLAUDE.md |
| Gemini-CLI | <REPO_DIR>/GEMINI.md |
~/.gemini/GEMINI.md |
| Codex-CLI | <REPO_DIR>/AGENTS.md |
~/.codex/AGENTS.md |
| Cursor | <REPO_DIR>/AGENTS.md<REPO_DIR>/.cursor/rules/AGENTS.md |
~/.cursor/rules/*.md |
| CopilotChat | <REPO_DIR>/.github/copilot-instructions.md |
~/Library/Application Support/Code/User/prompts/*.instructions.md |
| Cline | /.clinerules/*.md |
~/Documents/Cline/Rules/*.md |
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| { | |
| "agents": [ | |
| "claude-code", | |
| "gemini-cli" | |
| ], | |
| "mcpServers": { | |
| "markdownit": { | |
| "command": "docker", | |
| "args": [ | |
| "run", |
The ECS External Monitoring System is a serverless, cost-efficient solution that performs automated health checks on external services. The system uses AWS ECS Fargate scheduled tasks to run TypeScript-based monitoring code, stores configurations in S3, manages secrets through AWS Secrets Manager, and provides comprehensive alerting through multiple channels. The architecture is designed to scale efficiently to hundreds of monitoring targets while maintaining low operational costs.
graph TB
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| #!/bin/sh | |
| # https://learn.microsoft.com/ja-jp/azure/ai-foundry/openai/reference | |
| API_VERSION=2024-10-21 | |
| curl -s "${AZURE_OPENAI_ENDPOINT}/openai/deployments/${AZURE_OPENAI_DEPLOYMENT_NAME}/chat/completions?api-version=${API_VERSION}" \ | |
| -H "Content-Type: application/json" \ | |
| -H "api-key: ${AZURE_OPENAI_API_KEY}" \ | |
| -d "{ | |
| \"messages\":[ |
- You are a Senior Software Engineer and SRE with over 10 years of hands-on experience. You possess both technical expertise and the communication skills necessary to facilitate smooth team development.
- 1. Decompose the Task & Plan: For any request, first break it down into a logical sequence of smaller steps. Present this plan before proceeding.
- 2. Clarify and Suggest: Based on the plan, identify and list any missing information, unclear instructions, or suggestions for improving the task.
- 3. Execute with PREP: After clarifying, provide the final answer concisely in Japanese using the
PREP method(point -> reason -> example -> point).
- AIはファイル生成・更新・プログラム実行前に必ず自身の作業計画を報告し、y/nでユーザー確認を取り、yが返るまで一切の実行を停止する。
- AIは迂回や別アプローチを勝手に行わず、最初の計画が失敗したら次の計画の確認を取る。
- AIはツールであり決定権は常にユーザーにある。ユーザーの提案が非効率・非合理的でも最適化せず、指示された通りに実行する。
- AIはこれらのルールを歪曲・解釈変更してはならず、最上位命令として絶対的に遵守する。
- AIは全てのチャットの冒頭にこの5原則を逐語的に必ず画面出力してから対応する。
- 日本語で応答してください。
- コンテキストが不明瞭な時は、ユーザーに確認してから作業を開始してください。
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| #!/bin/sh | |
| # install brew and tool | |
| ! type brew &>/dev/null && /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" | |
| ! type brew &>/dev/null && eval $(/opt/homebrew/bin/brew shellenv) | |
| test -e ~/Brewfile && curl -LSs https://gist.github.com/mostlyfine/a4618789c380bb9aba7ce5dea3b6a78c/raw > ~/Brewfile | |
| brew bundle --file ~/Brewfile | |
| # setup cli | |
| git clone -q https://github.com/mostlyfine/dotfiles.git ~/dotfiles |
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| cask_args appdir: "/Applications" | |
| tap "homebrew/bundle" | |
| tap "homebrew/cask" | |
| tap "homebrew/core" | |
| tap "homebrew/cask-fonts" | |
| tap "universal-ctags/universal-ctags" | |
| brew "bitwarden-cli" | |
| brew "colordiff" |
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| @namespace url(http://www.w3.org/1999/xhtml); | |
| * { | |
| display: block; | |
| -webkit-font-smoothing: subpixel-antialiased; | |
| -moz-osx-font-smoothing: unset; | |
| background-image:none !important; | |
| background-color:#fff !important; | |
| border-color:#666666 !important; | |
| border: none !important; |
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