菜单
Inspect os_log from iOS/watchOS/macOS debug apps — live streaming, stored log queries, device listing. Activate on "os_log", "로그 확인", "log stream", "log show", "디바이스 로그", "앱 로그", "os log", "콘솔 로그", "실시간 로그", "로그 스트리밍", "디버그 로그", "시뮬레이터 로그".
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | os-log |
| description | Inspect os_log from iOS/watchOS/macOS debug apps — live streaming, stored log queries, device listing. Activate on "os_log", "로그 확인", "log stream", "log show", "디바이스 로그", "앱 로그", "os log", "콘솔 로그", "실시간 로그", "로그 스트리밍", "디버그 로그", "시뮬레이터 로그". |
| argument-hint | [stream|show|devices] [filter options] |
A Swift CLI tool for inspecting os_log from debug apps running on iOS/watchOS/macOS.
It wraps the macOS log command to provide live streaming, stored log queries, and device listing.
Respond to the user in Korean.
os-log-cli is a Swift Package and needs to be built on first use.
# Build (first time only, cached afterward)
swift build --package-path plugins/app-automation/scripts/os-log-cli
# Run
swift run --package-path plugins/app-automation/scripts/os-log-cli OSLogCLI <subcommand> [options]
Run
swift runfrom the project root (/Volumes/eyedisk/develop/oozoofrog/oozoofrog-plugins), since--package-pathis resolved relative to it.
Wraps log stream. Collects os_log from a running app in real time.
swift run --package-path plugins/app-automation/scripts/os-log-cli OSLogCLI stream [options]
| Option | Description | Default |
|---|---|---|
--subsystem | Subsystem filter (e.g. com.myapp) | - |
--category | Category filter (e.g. networking) | - |
--level | Log level (default/info/debug/error/fault) | - |
--process | Process name or PID | - |
--predicate | Raw NSPredicate filter | - |
--device | Device UDID | - |
--timeout | Auto-terminate time (seconds) | 30 |
--max-lines | Maximum number of lines to collect | 100 |
--format | Output format (compact/json/verbose) | compact |
--timeout and --max-lines guard against Claude's 2-minute Bash tool timeout. Adjust them as needed.
Wraps log show. Searches and filters past logs.
swift run --package-path plugins/app-automation/scripts/os-log-cli OSLogCLI show [options]
| Option | Description | Example |
|---|---|---|
--last | Recent time window | 5m, 1h, 2d |
--start | Start time (ISO8601) | 2024-01-01T00:00:00 |
--end | End time (ISO8601) | 2024-01-01T01:00:00 |
--lastand--start/--endcannot be used together.
The shared filter options (--subsystem, --category, --level, --process, --predicate, --device, --format) are also available.
Shows booted simulators and USB-connected physical devices together.
swift run --package-path plugins/app-automation/scripts/os-log-cli OSLogCLI devices [--json]
The --json flag outputs a JSON array.
When the user gives an app name or Bundle ID:
swift run --package-path plugins/app-automation/scripts/os-log-cli OSLogCLI stream \
--subsystem com.example.myapp --timeout 10 --max-lines 50
After a crash or error:
swift run --package-path plugins/app-automation/scripts/os-log-cli OSLogCLI show \
--last 5m --level error --format verbose
Fine-grained filtering with NSPredicate syntax:
swift run --package-path plugins/app-automation/scripts/os-log-cli OSLogCLI show \
--last 1h --predicate 'subsystem == "com.myapp" AND eventMessage CONTAINS "network"'
# 1. List devices
swift run --package-path plugins/app-automation/scripts/os-log-cli OSLogCLI devices
# 2. Stream logs for a specific device
swift run --package-path plugins/app-automation/scripts/os-log-cli OSLogCLI stream \
--device <UDID> --subsystem com.myapp
swift run --package-path plugins/app-automation/scripts/os-log-cli OSLogCLI show \
--last 1m --format json | python3 -m json.tool
stream, set --timeout and --max-lines to reasonable values so the Bash tool's 2-minute timeout is not hit.stream --timeout 5 --max-lines 20 to discover which subsystems are active.--format json suits structured analysis; --format verbose suits detailed debugging.devices output into --device to target logs at a specific device.--predicate follows NSPredicate syntax exactly — invalid syntax returns an error.Guidance on designing hierarchical context architecture for large-scale projects — structuring CLAUDE.md, CONTEXT.md, AGENTS.md to maximize agent reasoning precision and token efficiency. Use when the user asks about "컨텍스트 아키텍처", "context architecture", "계층적 컨텍스트", "CONTEXT.md 설계", "주의력 예산", "attention budget", "컨텍스트 엔지니어링", "context engineering", "토큰 효율성", "컨텍스트 부패", "context rot", "점진적 노출", "progressive disclosure". Common requests include "CLAUDE.md가 너무 길어요", "프로젝트 컨텍스트 파일을 어떻게 구성하죠?", "My CLAUDE.md is too long", "Set up context architecture for my project".
Analyze the project and scaffold a layered context architecture made of CLAUDE.md, subdirectory CLAUDE.md, .claude/rules/, and AGENTS.md. Preserve and augment existing files. Triggers — 컨텍스트 초기화, 컨텍스트 아키텍처, CLAUDE.md 생성, 스캐폴딩.
Runs 3-stage verification of a hierarchical context architecture — reference integrity, code reference validity, and content accuracy checked in sequence to produce a report. Triggers — 계층적 컨텍스트 검증, 참조 무결성, 코드 참조 검증, 내용 정확성, 컨텍스트 아키텍처 검증, ctx-verify.
Design research orchestrator — study famous designers/artists and codify their design traits into quantitative tokens. Use for '디자인 리서치', '디자이너 연구', '디자인 토큰 생성', '화가 분석', '디자인 시스템 구축' requests. Auto-triggers before the design-craft skill when no reference exists.
Browse Claude Code session logs in a TUI. Use on requests like "세션 로그 보기", "session viewer", "세션 뷰어", "claude code 로그 TUI", "이전 대화 보기", "내 세션 목록", "지난 세션 검토", "로그 인터랙티브 보기". Toggles between all-project sessions and sessions matching the current working directory.
Extracts project context into a structured research prompt for GPT-PRO and copies it to the clipboard. Use for requests that delegate research to GPT or extract project context as a structured prompt, such as "GPT에 물어봐", "GPT 리서치", "GPT-PRO", "리서치 위임", "컨텍스트 추출", "gpt research", "GPT에게 넘겨", "GPT한테 질문", "GPT 프롬프트", "research prompt", "컨텍스트 뽑아줘", "GPT용 프롬프트", "외부 리서치", "프롬프트 생성", "GPT 위임".