ONVIF device security scanner for testing authentication and brute-forcing credentials. Use when you need to assess security of IP cameras or ONVIF-enabled devices.
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。
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概要と使いどころ
ONVIF device security scanner for testing authentication and brute-forcing credentials. Use when you need to assess security of IP cameras or ONVIF-enabled devices.
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。
Expert blueprint for programmatic animation using Tween for smooth property transitions, UI effects, camera movements, and juice. Covers easing functions, parallel tweens, chaining, and lifecycle management. Use when implementing UI animations OR procedural movement. Keywords Tween, easing, interpolation, EASE_IN_OUT, TRANS_CUBIC, tween_property, tween_callback.
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。
Expert blueprint for platformer games including precision movement (coyote time, jump buffering, variable jump height), game feel polish (squash/stretch, particle trails, camera shake), level design principles (difficulty curves, checkpoint placement), collectible systems (progression rewards), and accessibility options (assist mode, remappable controls). Based on Celeste/Hollow Knight design research. Trigger keywords: platformer, coyote_time, jump_buffer, game_feel, level_design, precision_movement.
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。
Expert blueprint for TPS/hybrid shooters: soft-lock aim assist, cover validation rays, SpringArm TPS camera, and genre routing to FPS sibling for viewmodel/hitscan feel. Use for third-person/cover shooters and hybrids. Keywords: TPS, soft_lock, cover, SpringArm3D, hybrid shooter, aim assist — not FPS-only movement.
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。
Expert blueprint for sports games (FIFA, NBA 2K, Rocket League, Tony Hawk) covering physics-based ball interaction, team AI formations, contextual input, and match umpire/score authority. Broadcast framing routes to godot-camera-systems. Use when building soccer, basketball, hockey, racing sports, or arcade sports games. Keywords ball physics, magnus effect, formation AI, team tactics, contextual controls, steering behaviors.
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。
Bevy ECS skill for moving a Bevy game from 3D to 2D. Keywords: Bevy, 3D, 2D, adapt, sprite, camera.
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。
Bevy ECS skill for moving a Bevy game from 2D to 3D. Keywords: Bevy, 2D, 3D, adapt, camera, sprite.
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。
Build Lightricks LTX-2 / LTX-2.3 video workflows covering text-to-video, image-to-video, GGUF and bundled checkpoints, distilled model, camera control LoRAs, synchronized audio, two-stage upscaling, and swapping alternate/GGUF base models
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。
Integrate your app with iOS Visual Intelligence for camera-based search and object recognition. Use when adding visual search capabilities.
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。
Expert knowledge for Azure AI Video Indexer development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring live camera analysis, custom AI insights, OpenAI summaries, Video Indexer APIs, or face redaction, and other Azure AI Video Indexer related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI Search (use azure-cognitive-search).
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。
Rewrites scene descriptions using professional cinematography language, structures prompts with a six-slot formula (camera + subject + action + setting + style + lighting), and diagnoses content filter rejections via a preflight linter. Use whenever the user asks for a Seedance 2.0 / Seedance Pro prompt, describes a scene for Seedance generation, mentions Seedance, reports a Seedance generation failure or flagged prompt, or is burning credits on Seedance regenerations.
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 motion-design / animated-ad creation flow on Higgsfield via the MCP connector. Use when the user wants to create motion design, animate a logo, make a video from an image, build an animated ad or brand promo, turn a product into motion, or says 'make a motion', 'motion design', 'animate this', 'make a video from my logo', 'animated brand', 'motion graphics', 'brand motion', 'kinetic graphics', 'promo video', or 'ad video'. Drives a storyboard-first pipeline: brief → storyboard sheet (GPT Image 2) → video (Seedance 2.0) — an AI-generated pixel video clip. Distinct from higgsfield-motion (the named camera/motion preset library) and from higgsfield-vibe-motion (deterministic Remotion code with crisp text); use vibe-motion instead when the text/logo must stay perfectly crisp, editable, and deployable as code.
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。
Make a clean 45–90 second product demo video for any software product, rendered from code to MP4 with music. Airy light canvas, short centred lines the camera pushes into, the product's own UI rebuilt and shown up close as it is used (typing, results, tables, clicks), integrations, and a logo close. Use when someone wants a product demo, launch video, feature walkthrough or "how it works" video for an app, SaaS or tool.
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 a PERSONAL brand needs AI avatar video at scale — three tool tiers, four workflows for single avatar, translation, batch, and hybrid, reference image intake, face, style, logo, and palette replacement, voice clone pairing, anti-detection, and a QA score, with disclosure-law variants for US FTC, EU AI Act, SEA, and LATAM, covering HeyGen and Synthesia. Trigger on 'AI avatar', 'HeyGen video', 'Synthesia', 'talking head AI video', 'translate my videos with AI', 'I cannot be on camera every day'. Not for — the words the avatar says, see `04-script-video-global`; audio-only voice clone and podcast, see `25-voice-clone-podcast-global`; a company product video edit, see `44-video-editor-brief-global`.
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。
Dung khi da co y tuong va can huong dan NGUOI QUAY hoac NGUOI DUNG PHIM — storyboard tung beat, footage phai quay, chu chay tren man hinh, nhac, nhip cat, end-frame CTA va spec xuat theo kenh. Khac script video: script la loi thoai, day la huong dan dung. Kich hoat khi user nhac 'brief video', 'brief editor', 'storyboard', 'brief dung phim', 'huong dan cat video', 'brief videographer', 'editor cat khong dung y', 'video dai qua can cat lai'. Khong dung cho — viet loi thoai va hook noi truoc camera thi dung skill 04-script-video; nho khach hoac nhan vien tu quay thi dung skill 06-brief-ugc-egc; thue production house tron goi thi dung skill 67-agency-vendor-brief.
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 an editor or videographer needs production direction — beat-by-beat storyboard, footage to shoot, b-roll, text overlays, music and pacing, transitions, CTA end frame, and per-channel export specs. This is the EDIT instruction, not the spoken script. Trigger on 'video brief', 'editor brief', 'storyboard', 'brief for the video editor', 'how should this video be cut', 'we have the footage and no direction'. Also use when raw clips exist and nobody knows what the final should look like. Not for — the words said on camera, see `04-script-video-global`; briefing a creator to film their own, see `06-ugc-egc-brief-global`; resizing a finished video, see `50-asset-resize-global`.
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 this skill whenever the user asks to create, improve, audit, or split prompts for AI video generators (Seedance, Kling, Veo, Runway, Luma, Pika, Sora, any image-to-video system). The skill also covers storyboards, shot lists, director treatments, dynamic montage, multi-clip story structure, camera direction, lighting, blocking, pacing, character continuity, dialogue, and sound design. Trigger even when the user says things like "придумай сцену для видео", "разбей на склейки", "сделай раскадровку", "улучши промпт для Kling", "переведи сценарий в промпты", "как снять X в AI-видео", or shares a prompt and asks to fix it — even if they never say the word "prompt". Do NOT use for still images (use the sibling image skill), for editing, colour-grading or assembling footage that already exists, or for writing feature-length screenplays with no generation step.
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。
Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image, still to video, add motion to image, image animation, photo to video, animate still, wan i2v, image2video, bring image to life, animate photo, motion from image
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 faceless content video prompts for Seedance 2.0 on Higgsfield. Use for faceless YouTube channels, TikTok content without showing face, anonymous creator content, narration-driven videos, stock-footage-style AI content, or any video where the creator doesn't appear on camera. Triggers on faceless, no face, anonymous, narration, stock footage, b-roll, background video, voiceover video.
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。
Best practices for Docker-based ROS2 development including multi-stage Dockerfiles, docker-compose for multi-container robotic systems, DDS discovery across containers, GPU passthrough for perception, and dev-vs-deploy container patterns. Use this skill when containerizing ROS2 workspaces, setting up docker-compose for robot software stacks, debugging DDS communication between containers, configuring NVIDIA Container Toolkit for GPU workloads, forwarding X11/Wayland for rviz2 and GUI tools, or managing USB device passthrough for cameras and serial devices. Trigger whenever the user mentions Docker with ROS2, docker-compose for robots, Dockerfile for colcon workspaces, container networking for DDS, devcontainer for ROS2, multi-stage builds for ROS2, or deploying ROS2 in containers. Also trigger for CI/CD with Docker-based ROS2 builds, CycloneDDS or FastDDS configuration in containers, or shared memory in Docker. Covers Humble, Jazzy, and Rolling distributions across Ubuntu 22.04 and 24.04 base images.
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。
Bringing up a complete ROS2 system on a robot's onboard computer: systemd services, launch file composition, ordered startup, and production monitoring. Use this skill when configuring a robot to start ROS2 nodes on boot, writing systemd unit files for ROS2 launch, composing layered launch files for full robot stacks, setting up watchdog monitoring, configuring udev rules for deterministic device naming, or debugging boot-time race conditions. Trigger whenever the user mentions robot bringup, robot startup, systemd for ROS2, ROS2 on boot, launch file composition, robot boot sequence, udev rules for cameras or serial ports, automatic restart for ROS2 nodes, network configuration for multi-machine ROS2, log rotation for robots, graceful shutdown of robot stacks, or SSH-based remote debugging. Also trigger for sourcing workspaces in systemd, ordered startup with health checks, or running ROS2 systems as long-running production services. Covers systemd on Ubuntu 22.04/24.04 with ROS2 Humble, Iron, and Jazzy.
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。
API reference: MapKit for SwiftUI. Map view, Marker, Annotation, camera positions, map features.
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。
Routes BEVFormer camera-only 3D detection workflows, from install/import and config inspection through nuScenes data prep, distributed training and evaluation, and log analysis.
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。
Route BlenderGIS add-on tasks for georeferencing, vector and OSM data, raster/DEM basemaps, terrain analysis, and geocamera rendering in Blender.
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。