goose-ads
Edit, resize, animate and study image ads with GooseWorks in this chat. New static or image ads go to the make-static-ads skill…
the UGC fix-loop toolkit — surgically re-render a bad window/beat of a single-take UGC master (stitch_replacement.py, pure FFmpeg) and GPT cross-model review a Seedance prompt before render (vet_seedance_prompt.py, routed through the openai-proxy). Fetch it into a one-shot UGC
Claude Code
$ npx -y skills add gooseworks-ai/goose-skills --skill ugc-fixloop --agent claude-code
Codex
$ npx skills add gooseworks-ai/goose-skills --skill ugc-fixloop -a codex -y
Cursor
$ npx skills add gooseworks-ai/goose-skills --skill ugc-fixloop -a cursor -y
Gemini CLI
$ npx skills add gooseworks-ai/goose-skills --skill ugc-fixloop -a gemini-cli -y
GitHub Copilot
$ npx skills add gooseworks-ai/goose-skills --skill ugc-fixloop -a github-copilot -y
OpenCode
$ npx skills add gooseworks-ai/goose-skills --skill ugc-fixloop -a opencode -y
Windsurf
$ npx skills add gooseworks-ai/goose-skills --skill ugc-fixloop -a windsurf -y
name: ugc-fixloop description: the UGC fix-loop toolkit — surgically re-render a bad window/beat of a single-take UGC master (stitch_replacement.py, pure FFmpeg) and GPT cross-model review a Seedance prompt before render (vet_seedance_prompt.py, routed through the openai-proxy). Fetch it into a one-shot UGC recipe so both scripts resolve on any machine and the vet call charged to your GooseWorks credits. status: active
The UGC fix-loop toolkit. The one-shot UGC video recipes (`create-ugc-*-video-from-refs`) render a single continuous Seedance 2.0 reference-to-video master with native lip-synced audio. This capability ships the two scripts those recipes run, so they exist on the remote machine (fetched into `/tmp/gooseworks-scripts/ugc-fixloop/`).
> Any re-render of a replacement clip goes through the same proxy path the recipe uses for > the take (`create-video-fal` / fal-proxy), NEVER a direct `fal.run` call.
A second opinion from a different model family on the Seedance prompt before you spend the render (a model reviewing its own prompt is a weaker signal). Takes the prompt as an argument:
vet_seedance_prompt.py --prompt-file working/seedance-prompt.txt \
[--brief "one-line intent"] [--refs "@Image1=avatar; @Image2=product; @Image3=env"] \
[--words 28] [--out working/seedance-review.md]Prints + saves the structured review (verdict, line edits, word budget, consistency risk).
Replaces one segment of the master on the VIDEO track only; the master's audio (VO + ambience) plays straight through, so lip-sync on talking beats is never touched. Output is re-encoded H.264 / yuv420p at the master's fps + resolution.
Required: `--master M.mp4 --replacement R.mp4 --output O.mp4`. Pick the window ONE of two ways:
# By beat (1-indexed segment between auto-detected scene cuts):
stitch_replacement.py --master M.mp4 --replacement R.mp4 --output O.mp4 --replace-beat 2
# By explicit window (seconds):
stitch_replacement.py --master M.mp4 --replacement R.mp4 --output O.mp4 \
--window-start 4.21 --window-end 8.75 --fit stretchAll args:
Warns if output duration drifts >0.15s from the master (audio-sync check).
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