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Found 82 Skills
Atlas Cloud API integration skill — quickly call 300+ AI image generation, video generation, and LLM models through a unified API. Use this skill when the user needs to integrate AI image generation (e.g., Flux, Seedream, DALL-E), AI video generation (e.g., Kling, Sora, Seedance), or call LLM APIs (OpenAI-compatible format) into their project. Applicable scenarios include: generating images, generating videos, calling large language models, using Atlas Cloud API, configuring ATLASCLOUD_API_KEY, querying available model lists, searching models by keyword, uploading local images/media files, one-step quick generation, image-to-video, text-to-image, text-to-video, AI content creation tool integration. Even if the user doesn't explicitly mention Atlas Cloud, this skill should be considered whenever AI media generation API integration development is involved.
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.
Upload a local file to AceData Cloud CDN and get back a public URL. Use whenever you produce a local artifact (image, audio, video, doc) that another API needs as a URL, or that you need to return/persist (e.g. feed a generated image into an image-to-video API, or publish a finished video).
Choose the right fal.ai endpoint for a given task. Modality-organized catalog of production endpoint defaults, text-to-image, image-to-image, text-to-video, image-to-video, and more. Use when the user has not named a specific model, or asks "which model for X", "best endpoint for Y", "what should I use for Z".
Use Alibaba Cloud DashScope API and LingMou to generate AI video and speech. Seven capabilities — (1) LivePortrait talking-head (image + audio → video, two-step), (2) EMO talking-head, (3) AA/AnimateAnyone full-body animation (three-step), (4) T2I text-to-image (Wan 2.x, default wan2.2-t2i-flash), (5) I2V image-to-video (Wan 2.x, default wan2.7-i2v-flash, supports T2I→I2V pipeline), (6) Qwen TTS (auto model/voice by scene, default qwen3-tts-vd-realtime-2026-01-15), (7) LingMou digital-human template video with random template, public-template copy, and script confirmation. Trigger when the user needs talking-head, portrait, full-body animation, text-to-image, text-to-video, or speech synthesis.
Use when generating a non-interactive cutscene clip — opening scene, story beat, character intro, ending. Locks the look with a reference image, image-to-videos a 5-10s shot, optionally adds TTS dialogue, and wires it as a VideoStreamPlayer that fades in/out. Trigger on "cutscene", "intro cinematic", "opening scene", "ending cinematic", "story beat video", "character intro video", "in-engine cinematic", "non-playable scene".
[QwenCloud] 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 qwencloud-video-generation). DO NOT TRIGGER when: user wants to generate images (use qwencloud-image-generation), understand/analyze existing videos (use qwencloud-vision), text-only tasks.
Generate storyboard image boards and matching video-generation prompt scripts for specific scenes in a short video plan. Use this skill whenever the user asks to create a storyboard, storyboard image, video prompt script, scene prompt, image-to-video prompt, shot board, or per-scene video-generation package, especially when they specify a scene number, duration, or an existing video plan. This skill saves outputs as storyboard/scene-XX.png and storyboard/scene-XX.md and enforces grid sizing, timing labels, and strict character, wardrobe, prop, and location continuity.
Generate a high-cut-density action / fight scene by first composing a 16-cell storyboard image, then driving Seedance 2.0 image-to-video off that storyboard. Stacks GPT-Image-2 (character sheet + storyboard), Nano-Banana-2 (environment concept), and Seedance 2.0 i2v.
Generate AI videos using ByteDance Seedance models via Volcengine Ark API. Supports text-to-video, image-to-video (first frame, first+last frame), multimodal reference (images+videos+audio), video editing, video extension, web search enhancement, audio generation, draft mode, offline inference, and continuous video chaining. Use when user wants to generate, create, edit, or extend AI videos from text prompts, images, videos, or audio.
Generate videos using Sora via lnapi.com.
Automatically generate AI videos using the Seedance 2.0 model of Jianying (also called Xiaoyunque). It supports three modes: Text to Video (T2V), Image to Video (I2V) and Reference Video to Video (V2V). This skill is applicable when users need to generate AI videos, create short films with the Seedance model, or perform style conversion based on reference images/videos. Pre-configuration of the cookies.json login credential is required.