video-generation
FeaturedEnd-to-end AI video production through the Hyper MCP — text-to-video and image-to-video generation (Sora, Veo, Seedance), scene chaining, video analysis, transcription, subtitles, TikTok / karaoke captions, voiceover (TTS), audio mixing, clipping, stitching, and text overlays. Use when the user asks to generate a video, create UGC, scene-chain, add captions or subtitles, add narration, stitch clips, clip a podcast highlight, or do any AI video editing.
Install
Quality Score: 91/100
Skill Content
Details
- Author
- hyperfx-ai
- Repository
- hyperfx-ai/marketing-skills
- Created
- 3 months ago
- Last Updated
- 3 days ago
- Language
- Python
- License
- MIT
Integrates with
Bundled in these plugins
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Media content creation skill. Use when the user wants to create, generate, or produce any kind of video, audio, or image. This is the main skill for all media generation tasks. Trigger on video: "I want to make a video", "create a TikTok video", "generate a realistic video", "make a promo video", "animate my photo", "create a video ad", "Remotion", "Higgsfield", "Kling", "Seedance", "Weavy AI", "Hailuo". Trigger on audio: "read this article aloud", "create a voiceover", "text to speech", "TTS", "generate narration in Portuguese", "background music", "create a jingle", "ElevenLabs", "Francisca Neural", "Suno", "Udio", "audio summary". Trigger on image: "generate an image", "create a graphic", "make a diagram", "draw X", "generate a photo of Y", "make an infographic", "Midjourney", "DALL-E", "Flux", "Napkin.ai", "Nano Banana 2", "animate a static image". Also triggers for: marketing creatives, social media visuals, product photos, content creator tools.
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Execute production video generation from shot-specifier outputs through the Higgsfield Model Context Protocol (MCP). Use when prompts, storyboard frames, media roles, model routing, Higgsfield MCP uploads, generate_video calls, status polling, retakes, resume behaviour, or final assembly order are needed. Bridges structured [TAG] prompt files to model-native plain text prompts, validates model duration/aspect constraints, decomposes key-frame shots into supported start/end image clips, tracks uploaded media and job IDs, and writes generation logs.