answer-ads-questions
Answer questions about a brand's Meta ads (spend, results, which ad is winning, is it paused,…
Burned-in captions for a finished vertical video, three kinds. transcribe.py gets word timings from the video's own audio through the GooseWorks proxy (fal Whisper, bills the Ads agent, cents); captions.py burns one to three words at a time with Pillow + ffmpeg (no libass
$ npx -y skills add gooseworks-ai/goose-skills --skill caption-burn --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/caption-burnContext preview
The summary Claude sees to decide when to auto-load this skill.
Burned-in captions for a finished vertical video, three kinds. transcribe.py gets word timings from the video's own audio through the GooseWorks proxy (fal Whisper, bills the Ads agent, cents); captions.py burns one to three words at a time with Pillow + ffmpeg (no libass
name: caption-burn description: Burned-in captions for a finished vertical video, three kinds. transcribe.py gets word timings from the video's own audio through the GooseWorks proxy (fal Whisper, bills the Ads agent, cents); captions.py burns one to three words at a time with Pillow + ffmpeg (no libass needed), either pinned to a split-screen seam (plate 25% above / 75% below) or at a fixed height, in a plate, outline or one-word serif style, with an optional red hook card; plates.py burns per-beat caption blocks (black, one union silhouette, placed in the emptiest band) for formats with no voice. The last caption (the CTA) holds to the final frame. Use as the last step of any video ad. status: active
Captions timed to what is actually said in the finished video, not to the script's estimate.
python transcribe.py --media reel.mp4 --out reel.words.json # paid, cents
python captions.py --video reel.mp4 --beats cutlist.aligned.json \
--words reel.words.json --out final.mp4 [--style plate|outline] [--highlight Brand]`--beats` supplies the lines (`vo`), their timing and, for split layouts, `seam`, `size` and each beat's `state`. Any file with `beats: [{start, end, vo}]` works.
pinned to the seam, **positioned by the plate, not the text**: 25% of the plate above the line, 75% below. Full-frame beats use `--full-y`.
on a fixed baseline at 0.77 H (the screen-insert look). The highlight word is quoted.
of heavy red capitals near the top, for the opening seconds. ~14 characters a line.
python plates.py --video walk.mp4 --beats cutlist.json --out captioned.mp4 [--logo logo.png]
Each beat's `caption` (a string or list of lines) shows for the whole beat on ONE black block (square rectangles unioned, then rounded as a single silhouette: rounding each line leaves seams), lines left-aligned, the block centred on its widest line. It goes in the emptiest band of that beat's frame unless the beat pins `cap_y`. `logo: true` on a beat hangs the logo tile under the block. Write lines a person would type: the same short "fragment. fragment." shape three times reads as AI-written. No emoji twice.
1. **Transcribe the FINISHED audio.** Joining takes and aligning lines shifts timing; only the final video's audio gives correct cues. 2. **The last caption holds to the last frame.** It is the call to action. 3. **A word Whisper writes differently** ("200" for "two hundred") is interpolated between its neighbours rather than dropped or stretched over the whole line. 4. **Without `--words` timing is estimated** from syllables. Use that to judge placement, never to ship. 5. **Fonts:** a bold sans is found on macOS, Linux or Windows; if none is present, Roboto Bold is fetched once into `~/.cache/gooseworks/fonts`. `--font` or `GW_CAPTION_FONT` overrides.
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Repo: gooseworks-ai/goose-skills
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