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Found 307 Skills
Use when generating or editing video with Runway models on Scenario via MCP: text-to-video or image-to-video from a first frame with Gen4.5 (cinematic motion, sequenced actions, camera choreography), or video-to-video editing of real footage with Aleph 2 (remove objects, swap products, restyle or relight shots, keyframe-pinned reference images, motion and audio preserved). Keywords: Runway ML, Gen4.5, Gen-4.5, Aleph, T2V, I2V, V2V, first frame.
Use when generating or editing video with Seedance models on Scenario via MCP: text-to-video, image-to-video from a first frame, first and last frame anchors, reference-to-video with identity, product, or world references, prompt-based editing, extending a clip, audio-conditioned motion, shot sound without music, or deciding between first-frame and reference conditioning. Keywords: Seedance 2.5 and 2.0, ByteDance, T2V, I2V, V2V, multimodal references, native audio, video extension.
Apply the Action continuity choreography workflow derived from multiple published GoodCase examples. Use when planning, storyboarding, or refining an AI video prompt in this motion pattern, including requests for 视频提示词, 分镜, 动作复刻, reference images, source video, or special generation steps. Read the bundled Case evidence before producing an artifact.
Use when generating or editing video with Grok Imagine models on Scenario via MCP: text-to-video, image-to-video from a first frame, reference-to-video with @image tags for consistent people, products, or clothing, prompt-based editing, extending a clip from its last frame, native audio with lip-synced dialogue and sound effects, or choosing between first-frame and reference conditioning. Keywords: Grok Imagine Video 1.5, R2V, Grok Edit Video, Grok Extend Video, xAI, T2V, I2V, V2V.
Apply the 3D cartoon character short workflow derived from multiple published GoodCase examples. Use when planning, storyboarding, or refining an AI video prompt in this motion pattern, including requests for 视频提示词, 分镜, 动作复刻, reference images, source video, or special generation steps. Read the bundled Case evidence before producing an artifact.
Generate reference-guided 1080p video with ByteDance Seedance 2.5 Reference to Video on RunComfy via the `runcomfy` CLI. Feed up to 9 reference images, 1-3 reference video clips, and 3 reference audio files into one call and get a 4-30 second 1080p clip with native synchronized audio, identity and style locked to your references. Documents the full input schema (images / videos / audios / aspect_ratio / duration / generate_audio), the counted-seconds billing model ($0.53 per second of reference video duration plus output duration), the 480p draft-then-deliver workflow, and when to route to Seedance 2.5 text-to-video, image-to-video, or Seedance 2.0 Pro instead. Calls `runcomfy run bytedance/seedance-2.5/reference-to-video/1080p`. Triggers on "seedance 2.5", "seedance 2.5 reference to video", "reference to video", "reference-to-video", "seedance 1080p", "ByteDance Seedance 2.5", "consistent character video", "style-locked video", or any explicit ask to generate video from reference images and clips.
Generate storyboards for AI short dramas with a three-layer structure: Segment (one video generation, ≤15 seconds) → Shot (2–5 second cuts within a segment, assigned to script beats) → Storyboard Frame (one keyframe per cut: main storyboard frame pinned at 0.00s, sub-frames pinned at their respective cut points). Each segment comes with a MiniMax H3 video prompt (official default is English, line-broken per shot, promptLang can be switched to Chinese): alignment instructions and [Shot k] cut timings are derived from the storyboard structure and verified character by character; dialogue is placed character by character into <d> blocks (writing specifications are internalized in references/h3-prompt.md, no external skill dependencies). Outputs include storyboard.json + Markdown + single-page review report (storyboard rhythm bar / episode-by-episode storyboard table / generation batch sheet / dubbing alignment sheet, with exportable JSON). No images are generated — the deliverables are visual prompts for each frame and the reference images that should be attached to them. All 18 quality gates are deterministically checked by scripts (the 18th shot-recipe gate is optional: it is only checked when the shot-recipes card library is mounted, otherwise it is explicitly skipped). One-click export of H3 production packages via export (prompts per segment + storyboard frame list in Picture order). Zero dependencies, zero API keys, uses current session quota. Use when requested to create storyboards, generate storyboards, produce shot lists, edit cuts, or work on storyboards for AI short dramas.
Use when producing UGC-style creator video with Scenario: a talking-head ad or testimonial from a portrait and a script, a founder clip, a product demo or unboxing, a reaction or before-after cut, a faceless voiceover over b-roll, or vertical social video for TikTok, Reels, or Shorts that must feel filmed on a phone rather than produced. Keywords: UGC, creator ad, talking head, testimonial, avatar, lipsync, founder video, social proof, faceless voiceover, organic, vertical video.
Generate videos using Google Veo models via the nano-banana CLI. Use this skill when the user asks to create, generate, animate, or produce videos with AI. Supports text-to-video, image-to-video animation, dialogue with lip-sync, and scene extensions. Trigger on requests like "create a video", "animate this image", "make a video clip", "generate footage", "produce a short film", "add motion to this".
Automatically generate a Seedance 2.0 video on Higgsfield using Playwright browser automation. Use when the user provides an image and wants to create an AI video from it on Higgsfield. Triggers on requests like "generate a video", "create a seedance video", "make a video on higgsfield", "auto-generate video", or any request to automatically submit a video generation job to higgsfield.ai. Requires Playwright MCP tools.
Use when assembling assets a user already has into one finished video with Layer: sequencing clips, adding transitions, overlaying text, captions, a logo or a CTA, layering music or voice-over, or cutting a trailer, ad, or promo from generated shots. Also when a multi-shot piece needs to become a single deliverable file. Keywords: video editor, timeline, assemble, stitch, sequence, concatenate, transitions, overlay, captions, CTA, trailer, montage, render.
Use to write great prompts for Google Veo (Veo 3.1) to generate or animate video for social media — the video-prompt-craft mini-skill, the video counterpart to nano-banana. Run when the user wants a Veo / AI video prompt, a short video clip for a post (b-roll, product-in-motion, hook visual, spokesperson/UGC clip, ad), to animate a still image into video, or a vertical Reel/TikTok/Short clip. Reads brand-profile for brand style. Veo's standout is native synchronized audio in one pass, plus image-to-video and native 9:16 vertical. Teaches the prompt anatomy, audio prompting, the image-to-video pipeline, and the 8-second constraint + extension/stitching. Honest: iterate cheap then finalize, disclose AI video (SynthID watermark), never generate real identifiable people or copyrighted IP. This is the prompt-craft layer — the API/connection and the generate -> upload to WoopSocial Media -> attach flow live in tools/integrations/veo.md; the consuming pack is reels-script's veo-prompt-pack.