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Found 166 Skills
Generate cinematic film-style video prompts for Seedance 2.0 (Higgsfield). Use this skill when users want AI videos with cinematic, film-like, movie-quality, Hollywood-style, dramatic, or professional film-quality. Trigger words: cinematic, film-like, movie scene, dramatic lighting, depth of field, lens flare, anamorphic, letterbox, film noir, epic, stabilized camera, dolly shot, crane shot, or any cinematic video generation request. Use this skill even if users don't explicitly say "cinematic" but describe film aesthetics.
Generate AI videos with Luma Dream Machine via AceDataCloud API. Use when creating videos from text prompts, generating videos from reference images, extending existing videos, or any video generation task with Luma. Supports text-to-video, image-to-video, and video extension.
Generate videos using TensorsLab's AI video generation models. Supports text-to-video and image-to-video generation with automatic prompt enhancement, progress tracking, and local file saving. Use for generating videos from text descriptions, animating static images, creating cinematic content, and various aspect ratios. Requires TENSORSLAB_API_KEY environment variable. Video generation takes several minutes.
Animate a single image into a video using fal.ai Veo 3.1. Use when the user wants to create a video from a still image, animate a photo, or bring an image to life. Supports up to 8 seconds of video with optional audio.
Create videos from a text prompt using HeyGen's Video Agent. Use when: (1) Creating a video from a description or idea, (2) Generating explainer, demo, or marketing videos from a prompt, (3) Making a video without specifying exact avatars, voices, or scenes, (4) Quick video prototyping or drafts, (5) One-shot prompt-to-video generation, (6) User says "make me a video" or "create a video about X".
视频处理，涵盖视频画质增强、视频理解、字幕擦除等能力。包含能力：analyze-video-highlights, analyze-video-storyline, asr-subtitles, enhance-video, enhance-video-generative, erase-video-subtitle, erase-video-subtitle-pro, generate-highlights-microdrama, generate-highlights-minigame, matte-greenscreen-video, matte-portrait-video, probe-video-metadata, segment-scenes, video-ocr。当用户需要使用 video 域的 MediaKit CLI 能力时触发。
Generate new videos from text prompts, images, or reference inputs using EachLabs AI models. Supports text-to-video, image-to-video, transitions, motion control, talking head, and avatar generation. Use when the user wants to create new video content. For editing existing videos, see eachlabs-video-edit.
Generate AI videos using the Pollo AI API. Supports 13 leading models (Kling, Sora, Runway, Veo, Pixverse, Hailuo, Vidu, Luma, Pika, Wan, Seedance, Hunyuan, Pollo) with 50+ versions. It also supports task polling, credit cost estimation, and credit balance checks. Use this skill whenever the user wants to generate an AI video from text or image, use any AI video model, check Pollo credits, or mentions Pollo AI, pollo.ai, or any of the supported model names. Even if the user just says "generate a video" or "make me a short clip" without mentioning Pollo, this skill should be used.
Control video generation requests before execution. Use this when the user asks for a simple clip, storyboard video, UGC video, podcast clip, reference video, talking-head, image-to-video, text-to-video, or research-handoff video and the skill must classify the request before handing it to video-request-architect and a runner such as seedance-submitter or video-batch-runner.
Generate AI videos with OpenAI Sora via AceDataCloud API. Use when creating videos from text prompts, generating videos from reference images, or using character references from existing videos. Supports text-to-video, image-to-video, and character-driven generation with multiple models and resolutions.
Guides users through AI video production on the Seedance platform — from creative ideation and asset preparation through storyboarding to production-ready prompts. Triggers on keywords such as Seedance, AI video, storyboard, camera movement, video extension, one-shot take.
[QianWen] Generate videos using Wan models. Supports text-to-video, image-to-video, first+last frame, reference-based role-play, and video editing (VACE). TRIGGER when: user wants to create, generate, or edit video content, mentions video generation/animation/video clips/Wan models, or explicitly invokes this skill by name (e.g. use qianwen-video-generation). DO NOT TRIGGER when: user wants to generate images (use qianwen-image-generation), understand/analyze existing videos (use qianwen-vision), text-only tasks.