render-podcast-skit
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 pe
npx skills add gooseworks-ai/goose-skills --skill render-podcast-skit --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Run
- Contract (the free assembly)
What does the render-podcast-skit skill do?
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 pe
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill render-podcast-skit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.