ugc-fixloop
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 bills the Ads agent.
npx skills add gooseworks-ai/goose-skills --skill ugc-fixloop --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.
# ugc-fixloop 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. ## Env / deps - **`stitch_replacement.py`** — no API key, no network. Needs **`ffmpeg` + `ffprobe` on PATH** (all local FFmpeg). - **`vet_seedance_prompt.py`** — routes through the GooseWorks **openai-proxy** (`<api_base>/api/internal/openai-proxy/v1/chat/completions`), reading creds from `~/.gooseworks/credentials.json` — **no direct OpenAI call, no local key**; the call **bills the Ads agent**. Exits 3 if the proxy/creds are unavailable so the recipe can fall back to an inline self-review (the vet is advisory, not a gate). ## Run — vet_seedance_prompt.py (GPT cross-model prompt review) A deliberately NON-Claude second opinion on the Seedance prompt before you spend the rende
- Env / deps
- Run — vetseedanceprompt.py (GPT cross-model prompt review)
- Run — stitchreplacement.py (surgical beat/window swap, deterministic)
What does the ugc-fixloop skill do?
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 bills the Ads agent.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill ugc-fixloop --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.