Control Android devices via ADB. Use when user asks to tap, swipe, type, launch apps, take screenshots, or automate Android device interactions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Rewrites technical review replies as short, natural Slack or PR messages between engineers. Use when asked to make a reply more casual, concise, less formal, or less AI-generated while keeping its main technical point.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Turn the supplied reply into a short message that sounds like an engineer typed it quickly in Slack or a PR discussion.
existing.attribute is simpler?”Confirm the result starts positively, has 3–4 sentences, makes the concern a question, and ends with the simpler alternative.
Source:
That page is why we should not use
hw.memory.size. It is a hardware metric for a DIMM in a monitored host, not a span attribute for phone RAM. The specification defines it as an UpDownCounter representing the size of a memory module and requires hardware-specific identity attributes. A mobile launch span has none of that. Additionally, calculating the RAM bucket in Honeycomb would require sending and storing the raw RAM value. We should keepsumup.device.ram_bucket.
Reply:
Good shout. Would
hw.memory.sizefit here though? It looks like a host memory-module metric, while we need total RAM on a mobile launch span. Calculating it in Honeycomb would also mean sending raw RAM. Maybe keepingsumup.device.ram_bucketis simpler?
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Control Android devices via ADB. Use when user asks to tap, swipe, type, launch apps, take screenshots, or automate Android device interactions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Transcribes local audio into Markdown with Gemini 3.5 Transcribe, including speaker labels and provider timestamps. Use for interviews, meetings, lectures, podcasts, voice notes, and similar recordings.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design engineering principles for making interfaces feel polished. Use when building UI components, reviewing frontend code, implementing animations, hover states, shadows, borders, micro-interactions, enter/exit animations, choosing or reviewing icons, or any visual detail work. Triggers on UI polish, design details, "make it feel better", "feels off", stagger animations, theme switch transitions, border radius, optical alignment, image outlines, box shadows, icons, icon stroke weight, icon states, motion restraint.
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Explores and validates a feature, component, workflow, or behavior change before implementation. Use when work needs clarified intent, compared approaches, and an approved direction.
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Restates the previous response in plain, concise language. Use only when the user invokes bro or explicitly asks for a simpler explanation.
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Generates or edits raster images through OpenAI's Image API. Use for text-to-image work, reference-based edits, masks, transparent assets, and product or editorial visuals.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.