「images」の検索結果

Use when generating or editing video with MiniMax Hailuo models on Scenario via MCP: text-to-video, image-to-video, first and last frame anchors, reference images, videos, or audio, native stereo audio, bracketed camera commands, extending a clip, inserting a new scene into one, or recasting the people in it from photos. Keywords: MiniMax, Hailuo 3.0, H3, H3 Max, Turbo, Extend Video, Insert Video, Recast, Hailuo 2.3, T2V, I2V, V2V, 2K.

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 generating or editing video with Kling models on Scenario via MCP: text-to-video, image-to-video with first and last frames, multi-shot sequences with per-shot prompts, consistent characters via elements and reference images, prompt-based video editing, motion transfer from a driving video (motion control, mocap), lipsync to audio or text, talking avatars, native audio and dialogue, or picking 720p, 1080p, or 4K tiers. Keywords: Kling V3, O1, 2.6, Omni, Kuaishou, T2V, I2V, V2V.

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 guidance on using Coil for image loading in Jetpack Compose. Use this when asked about loading images from URLs, handling image states, or optimizing image performance in Compose.

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 polished shieldcn README badges, badge groups, charts, headers, sponsors grids, and full README hero sections. Use when a user wants shadcn/ui-styled badges, Shields.io replacement, npm/GitHub/CI/status badges, download charts, README header banners, contributor/sponsor images, or README Studio guidance. Triggers include "add badges", "add shields", "README badges", "npm badge", "GitHub stars badge", "CI badge", "download chart", "README header", "README banner", "contributors grid", "sponsors grid", "build a README", "README Studio", "shieldcn", and requests to make a project README look better.

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。

Integrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or static images); geocode addresses to coordinates or reverse geocode coordinates to addresses; calculate routes, travel times, or service areas; find places and businesses through text search, nearby search, or autocomplete suggestions; retrieve detailed place information including hours, contacts, and addresses; monitor geographical boundaries with geofences; or track device locations. Covers authentication, SDK integration, and all Amazon Location Service 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。

Audit PowerPoint (.pptx) decks for slide count, text density, embedded images and fonts, hidden slides, speaker notes, and animation density. Use when reviewing a board deck, sales deck, or conference talk before sending.

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 Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances.

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。

Image processing skill for cropping images to 50% from center and rotating them 90 degrees clockwise. This skill should be used when users request image cropping to center, image rotation, or both operations combined on image files.

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。

Embed C2PA provenance in AI-generated images, video or PDF by script. "add content credentials to this asset"

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 text, images, video, speech, and music via the MiniMax AI platform. Covers text generation (MiniMax-M3 model), image generation (image-01), video generation (Hailuo-2.3), speech synthesis (speech-2.8-hd, 300+ voices), music generation (music-2.6 with lyrics, cover, and instrumental), and web search. Use when the user needs to create AI-generated multimedia content, produce narrated audio from text, compose music, or search the web through MiniMax AI services.

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 RichTextLabel with BBCode formatting (bold, italic, colors, images, clickable links) and custom effects. Covers meta tags, RichTextEffect shaders, and dynamic content. Use when implementing dialogue systems OR formatted text. Keywords RichTextLabel, BBCode, [b], [color], [url], meta_clicked, RichTextEffect, dialogue.

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 RichTextLabel with BBCode formatting (bold, italic, colors, images, clickable links) and custom effects. Covers meta tags, RichTextEffect shaders, and dynamic content. Use when implementing dialogue systems OR formatted text. Keywords RichTextLabel, BBCode, [b], [color], [url], meta_clicked, RichTextEffect, dialogue.

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。

Analyze images, video, speech, motion, products, and websites; route local vision, audio, depth, tracking, matting, identity, and restoration models; auto-edit, replicate, enhance, caption, voice, assemble, annotate, validate, and export editable Timeline Studio projects and videos. Use for reference-video remakes, filter and repeated-shot reconstruction, subject-aware reframing, clip splitting, source-time speed curves, Color Wheels grading, ramps and holds, person or product cutout, person or object outline, authorized face swap, shot and timing reconstruction, timeline markers, chapters, beat cues, review notes and ranges, supplied or web-sourced footage, AI video platform selection, cleanup, highlights, product promotion, website walkthroughs, image-to-video assisted edits, optical-flow editing, depth-assisted relighting, grayscale depth-video conversion, depth/2.5D/transition finishing, AI voiceover, subtitles, short-form production, .timeline automation, or editor evaluation.

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 text, images, video, and audio, and make typed decisions from the terminal.

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。

Discover Civitai models with the BUILT-IN download_model action:"search_civitai" and install/generate them locally. Find a checkpoint/LoRA/embedding on Civitai, download it into ComfyUI, and use its trigger words. Optionally pair the official Civitai MCP for community features (images browsing, posting, collections).

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。

Common ComfyUI errors and fixes. OOM, missing nodes, dtype mismatches, black images, and debugging strategies

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。

Deep single-page SEO analysis covering on-page elements, content quality, technical meta tags, schema, images, and performance. Use when user says "analyze this page", "check page SEO", "single URL", "check this page", "page analysis", or provides a single URL for 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。

Generates a watermark overlay system for images and video with configurable positioning, opacity, tiling, and paywall integration for automatic removal on subscription or purchase. Use when user wants to add branding, attribution, or free-tier watermarks to visual content.

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 push notification infrastructure with APNs registration, handling, and rich notifications. Use when adding push notifications, configuring APNs, notification categories/actions, or rich notifications with images and custom UI.

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。

Comprehensive App Store asset specifications and guidelines for all promotional artwork — app icons, screenshots, app previews, event cards, subscription images, and featuring artwork. Use when preparing assets for App Store Connect upload.

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。

Image segmentation is the process of identifying the borders of individual objects (in this case cells) within an image. This allows for the features of cells such as marker expression and morphology to be extracted, stored and analysed. simpleSeg provides functionality for user friendly, watershed based segmentation on multiplexed cellular images in R based on the intensity of user specified protein marker channels. simpleSeg can also be used for the normalization of single cell data obtained f

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 DevTest Labs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing lab VM images, ARM/CI-CD automation, RBAC/Key Vault security, hub-spoke networking, or quotas, and other Azure DevTest Labs related development tasks. Not for Azure Lab Services (use azure-lab-services), Azure Dev Box (use azure-dev-box), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Desktop (use azure-virtual-desktop).

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 Deployment Environments development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when defining environment.yaml, configuring dev centers/projects, using ADE/Dev CLI, custom images, or CI/CD deployments, and other Azure Deployment Environments related development tasks. Not for Azure DevTest Labs (use azure-devtest-labs), Azure Dev Box (use azure-dev-box), Azure Managed Applications (use azure-managed-applications), Azure Resource Manager (use azure-resource-manager).

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 Data Science Virtual Machines development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when managing DSVM images/tools, IaC deployment (Bicep/ARM), Key Vault secrets, MLflow, or GPU/Jupyter issues, and other Azure Data Science Virtual Machines related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure Machine Learning (use azure-machine-learning), Azure Databricks (use azure-databricks), Azure HDInsight (use azure-hdinsight).

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。