「device」の検索結果

OpenClawのブラウザ画面や公式アプリが接続できない原因を調べます。通信経路、認証、端末登録、再接続を切り分け、対象端末の接続を確認します。

• Control UIの接続失敗を調べたいとき
• Android・iOS・macOSアプリの接続調査
• QR・セットアップコードの接続不具合調査

複数のマシンで動くUncloudのサービスを配備・管理するスキル。uc CLIで公開ポートやCaddyの設定、台数調整、ログ確認、ボリューム管理を進めます。

• Composeからサービスを配備したいとき
• WebアプリをHTTPS公開したいとき
• NASやルーターへの経路設定

家庭や自宅の検証用ネットワークで、ルーター・スイッチ・Wi-Fi機器の役割と配線を整理します。IPアドレス、DHCP、DNSを計画し、接続の不安定さや将来の拡張に備えます。

• 家庭内ネットワークと機器の役割を設計したいとき
• NASやサーバーのアドレスと名前の安定化
• Wi-Fi不安定・二重NAT・DHCP重複の点検

家庭内ネットワークにPi-holeを導入し、広告などのドメイン遮断、DNS通信の暗号化、機器の名前登録、接続不具合の調査を支援するスキル。

• 家庭内のドメイン遮断を導入したいとき
• 遮断リストの管理と誤遮断の修正
• 外部へのDNS通信を暗号化したいとき

Live-device iOS QA for SwiftUI apps. (gstack)

日本語の概要は準備中です。原文の説明を表示しています。

A lo-fi multi-screen MOBILE flow wireframe — three or four phone frames laid out in a row on a board, showing a connected user flow (Onboarding → Home feed → Item detail → Confirm). Grey-box content inside each device, dashed connector arrows + numbered step labels between screens, and a couple of annotation callouts. Reads like an app flow pinned to a whiteboard before any pixels are committed. Use when the brief asks for "mobile wireframe", "app flow", "user flow wireframe", "lo-fi mobile", "low fidelity", "线框图", "移动端线框", or "App 流程".

日本語の概要は準備中です。原文の説明を表示しています。

Generate configurable chat motion overlays from a transcript or screenshot, including plain bubble scenes, app-style chat containers, optional device frames, preset or uploaded avatars, nickname display rules, and transparent-video-ready Remotion bundles. Use when Codex needs to create reusable short-form chat clips for Douyin, demo videos, story reenactments, social-message proof scenes, or embeddable alpha overlays for Hyperframe and Remotion workflows.

日本語の概要は準備中です。原文の説明を表示しています。

Reach RuView sensing hardware from the machine it is attached to — ESP32 CSI nodes (serial + UDP stream), 60 GHz MR60BHA2 / 24 GHz LD2410 mmWave radars, RPLIDAR and iPhone LiDAR — and from other machines over SSH, read-only.

日本語の概要は準備中です。原文の説明を表示しています。

ESP32-S3 / ESP32-C6 firmware build, flash, WiFi provisioning, and serial monitoring for RuView CSI sensing nodes. Use when setting up physical hardware, reflashing a node, or debugging a device that isn't streaming CSI.

日本語の概要は準備中です。原文の説明を表示しています。

Register a Cognitum Seed device by endpoint and establish agent bridge

日本語の概要は準備中です。原文の説明を表示しています。

Create and manage Cognitum Seed device fleets with firmware policies

日本語の概要は準備中です。原文の説明を表示しています。

Use when reviewing CI coverage, automated checks, or test strategy related to Test on real mobile devices and viewports. Focus on whether the rule is continuously verified, not just documented.

日本語の概要は準備中です。原文の説明を表示しています。

Use when reviewing templates, rendered HTML, or shared components related to Implement favicons for all devices. Validate the final browser-facing markup, not just the source framework abstraction.

日本語の概要は準備中です。原文の説明を表示しています。

Search and inspect the user's photo library, including connected device galleries. Use for photo requests and whenever a photo could ground or personalize a response; lookups of uploaded photos are cheap, so check opportunistically and move on if nothing fits.

日本語の概要は準備中です。原文の説明を表示しています。

Control Philips Hue smart lights, rooms, scenes, and devices via the Hue Remote API v2.

日本語の概要は準備中です。原文の説明を表示しています。

The user's synced Google Health Connect data from their Android device: daily metrics (steps, distance, calories, heart rate, HRV, VO2max), sleep sessions (stages, quality, efficiency), and workouts.

日本語の概要は準備中です。原文の説明を表示しています。

Teltonika RMS device management and monitoring CLI

日本語の概要は準備中です。原文の説明を表示しています。

Develops and reviews PyLabRobot lab-automation resources, liquid-handling plans, offline simulations, and supported-device integrations. Supports PyLabRobot protocols and API questions; keep physical execution behind an explicit operator safety gate.

日本語の概要は準備中です。原文の説明を表示しています。

Builds and audits reproducible NeuroKit2 research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Use when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.

日本語の概要は準備中です。原文の説明を表示しています。

Semantic + keyword search and connection-discovery across the user's own Apple Notes via the apple-notes MCP server. Use when the user wants to find, recall, or synthesize something from their notes, or surface non-obvious bridges/related notes. macOS, on-device.

日本語の概要は準備中です。原文の説明を表示しています。

Export a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint passes promotion, when choosing a quantization format for a target device, or when an exported model fails its smoke test.

日本語の概要は準備中です。原文の説明を表示しています。

Mistake-proof code so misuse cannot be expressed, rather than warning against it. Use when designing an interface, schema, or state machine and the user wants it hard to get wrong ("make invalid states unrepresentable", "so callers cannot screw it up", "type-safe API", "pit of success"); when auditing existing code for footguns ("what could bite us here", "what is easy to misuse", "poka-yoke this repo", "review this diff for ways to get it wrong"); or when a bug has recurred and the fix must close the class rather than the case ("make sure this never happens again", "this is the third time"). Especially for money, auth, permissions, deletion, migrations, and pipelines where failure is silent. Classifies every finding by what happens when the mistake occurs and how the device notices, which is what keeps it from collapsing into generic code review.

日本語の概要は準備中です。原文の説明を表示しています。

End-to-end onboarding for a freshly-plugged-in M5Stack ESP32 device (Cardputer, Cardputer-Adv, Core, CoreS3, Stick) — detect on USB, flash UIFlow 2.0 firmware, and install the Claude Buddy MicroPython app bundle. Use whenever the user plugs in or wants to flash/provision/reset an M5Stack or ESP32 board, or says "m5-onboard go".

日本語の概要は準備中です。原文の説明を表示しています。

Detects and analyzes Bluetooth Low Energy (BLE) security attacks including sniffing, replay attacks, GATT enumeration abuse, and Man-in-the-Middle interception. Uses Ubertooth One and nRF52840 sniffers for packet capture, the bleak Python library for GATT service enumeration, and crackle for BLE encryption cracking. Use when assessing IoT device BLE security, monitoring for BLE-based attacks on wireless infrastructure, or performing authorized BLE penetration testing. Activates for requests involving BLE security assessment, Ubertooth sniffing, GATT enumeration, or BLE replay detection.

日本語の概要は準備中です。原文の説明を表示しています。