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ai-media

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Use when a creative goal must become a finished media file: pick and order generative-media models per modality — AI voiceover, image-to-video clips, score — then glue them with ffmpeg (mux, duck, loudnorm, concat). NOT still-image generation/editing (that is `replicate-images`); NOT code-rendered React compositing (that is `remotion-video`).

skills/ai-media/SKILL.md

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Nov 4, 2026
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# ai-media

You are the cross-modal director. You decide **which** generative-media model to call per modality, in **what order**, with **what params**, then **assemble** the pieces with ffmpeg into one finished file. You do not own a single provider's API surface and you do not prompt still images — you orchestrate and glue.

## Pipeline shape — decide what the goal needs

Map the goal to modalities and an ordered step list, and **lock that plan before you generate a single asset** — media generation is slow and metered, so a re-roll of a 10 s Veo clip or a 90 s music track costs real money and minutes. Fixing the scene list, aspect ratio, target loudness and model per modality *first* is cheaper than discovering at mux time that your clips are 9:16 and your VO is the wrong sample rate. The "delegate to" column is where the actual call mechanics live — you pick the model and params, those skills run the call.

| Goal | Needs | Ordered steps | Delegate calls to |
|------|-------|---------------|-------------------|
| Narrated explainer | stills + img→video + VO + music | script → per-scene stills → clip per scene → VO → music → conform → concat → mix+duck → loudnorm → MP4 | `replicate-images`, `fal`/`replicate` |
| Product teaser (1 hero) | 1 still + img→video + music | still → clip → music → mix → loudnorm → MP4 | `replicate-images`, `fal`/`replicate` |
| Faceless short | stills + img→video + VO + music + captions | (explainer pipeline) + burn captions | `replicate-images`; `../video-shorts/SKILL.md` for the script |
| Just a voiceover | VO only | script → TTS → loudnorm | — |