render-podcast-skit

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Assemble a two-host fake-podcast skit ad from a config — per-line lipsync clips hard-concatenated in script order, scaled/padded to 1080×1920, WHITE bottom-center captions (up to 5 words per cue, broken on sentence punctuation, word-wrapped to stay in-frame, held at least 0.9s) built from each line's OWN ElevenLabs char-level timestamps (offset by cumulative clip start, never Whisper), and closed on a Playwright/PIL brand end card composited from the real wordmark — never AI-rendered text. This is the FREE deterministic assembly stage (concat + white captions + end card + crf28 encode); the per-line VOs, photoreal gpt-image-2 base stills, expression variants, and lipsync clips come from create-vo-elevenlabs / create-image-gpt-image-fal / create-video-fal. Use for the podcast-skit format.

AI & Automation 1,063 stars 194 forks Updated 4 days ago MIT

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Skill Content

# render-podcast-skit Assemble a **two-host fake-podcast skit** ad from a config: a skeptic and a believer at an absurd themed podcast desk do a snappy back-and-forth about the product (the set is deliberately unrelated — that is the joke). Each line is its own lipsync clip so the edit can cut on the dialogue beat (~1.8s avg); this capability is the **FREE, deterministic assembly** that concatenates those clips, renders the WHITE captions, and appends the brand end card. `scripts/config.example.json` is the worked example (Ladder run-02 "Laundromat 2am", ~49s 1080×1920 9:16, ~22 lines); `scripts/PIPELINE.md` maps every config block to its source step and `scripts/README.md` documents the free assembly. ## Run This is the **FREE, deterministic** assembly stage — it spends nothing. The paid inputs are separate capabilities: one ElevenLabs **with-timestamps** VO per line (one voice per host) via `create-vo-elevenlabs`; two photoreal base stills at the themed desk plus ~10 expression variants (mouths NEUTRAL/CLOSED, **gpt-image-2 quality=high**, not nano-banana) via `create-image-gpt-image-fal`; and one lipsync clip per (still, VO) pair via `create-video-fal`. Given the per-line clips + their VO timestamps + the brand wordmark SVG, `render-podcast-skit` walks the scenes in script order, builds the global caption timeline, renders the WHITE captions, hard-concats the clips, auto-appends the end card, and final-encodes crf28 → the master. Re-cuts reuse the existing VOs / stills...

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Author
gooseworks-ai
Repository
gooseworks-ai/goose-skills
Created
4 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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