Agent skill

Ugc Fixloop

by gooseworks-ai in gooseworks-ai/goose-skills

the UGC fix-loop toolkit — surgically re-render a bad window/beat of a single-take UGC master (stitchreplacement.py, pure FFmpeg) and GPT cross-model review a Seedance prompt before render…

MITAuto-check passedMedia & Creative

Install Ugc Fixloop

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill ugc-fixloop -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills ugc-fixloop --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/ugc-fixloop .claude/skills/ugc-fixloop && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ugc-fixloop
GitHub stars
1.2k
Token cost
~865 tokens
SKILL.md length
316 words
Files
5 (incl. scripts)
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

the UGC fix-loop toolkit — surgically re-render a bad window/beat of a single-take UGC master (stitchreplacement.py, pure FFmpeg) and GPT cross-model review a Seedance prompt before render…

  • Tasks that involve Influencer and creator marketing
  • SKILL.md covers Env / deps, Run — vet_seedance_prompt.py… and Run — stitch_replacement.py…
  • Runs Python scripts from its folder
  • Tasks that involve AI video generation

What it does

Ugc Fixloop is an agent skill from gooseworks-ai/goose-skills. the UGC fix-loop toolkit — surgically re-render a bad window/beat of a single-take UGC master (stitchreplacement.py, pure FFmpeg) and GPT cross-model review a Seedance prompt before render (vetseedanceprompt.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.

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `scripts/stitch_replacement.py`, `scripts/vet_seedance_prompt.py` and `skill.meta.json`).

It sits in Media & Creative, covering Influencer and creator marketing, AI video generation and Video production. It works with Seedance, FFmpeg and OpenAI. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • Tasks that involve Influencer and creator marketing
  • Tasks that involve AI video generation
  • Tasks that involve Video production

Example prompts

  • “/ugc-fixloop”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ugc Fixloop loads about 865 tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 316 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~865

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 316 words, ~865 tokens.

Download SKILL.mdSave it as .claude/skills/ugc-fixloop/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
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 bills the Ads agent.
status
active

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 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).

Run — stitch_replacement.py (surgical beat/window swap, deterministic)

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 stretch

All args:

  • --master (required) — the single-take master mp4.
  • --replacement (required) — the re-rendered silent replacement clip (generated via create-video-fal).
  • --output (required) — output mp4 path.
  • --window-start / --window-end (float seconds) — explicit hole to replace.
  • --replace-beat (int, 1-indexed) — pick the segment between detected scene cuts.
  • --scene-threshold (float, default 0.3) — scene-cut sensitivity for --replace-beat.
  • --fit {stretch,trim,freeze} (default stretch) — reconcile replacement length to the hole.
  • --dry-run — print the ffmpeg command without running.

Warns if output duration drifts >0.15s from the master (audio-sync check).

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts) in skills/ads/capabilities/ugc-fixloop of gooseworks-ai/goose-skills.

  • SKILL.md
  • scripts/stitch_replacement.py
  • scripts/vet_seedance_prompt.py
  • skill.meta.json
  • tests/smoke-test.md

Open the folder on GitHubat commit c650c6d

Compare with similar skills

Ugc Fixloop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ugc Fixloop compared with similar skills
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Ugc Fixloop this skillgooseworks-ai/goose-skills1.2k—~865Automated safety check: PassMIT
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Analyze Videokrusemediallc/arcads-claude-code1.6k—~4.2kAutomated safety check: PassMIT
Ffmpeg MixingvargHQ/sdk340—~676Automated safety check: PassMIT
Cassette ModelCassette-Editor/oh-my-cassette1191 repos~374Automated safety check: PassMIT
Editorial Collage MotionPluviobyte/rnskill1.6k—~1.2kAutomated safety check: PassCustom licence

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Questions about Ugc Fixloop

What does Ugc Fixloop do?

the UGC fix-loop toolkit — surgically re-render a bad window/beat of a single-take UGC master (stitchreplacement.py, pure FFmpeg) and GPT cross-model review a Seedance prompt before render…. Ugc Fixloop is an agent skill from gooseworks-ai/goose-skills.py, routed through the openai-proxy).

When should I use Ugc Fixloop?

Ugc Fixloop fits situations like: tasks that involve Influencer and creator marketing; tasks that involve AI video generation; tasks that involve Video production.

How do I install Ugc Fixloop in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill ugc-fixloop -a claude-code`. Or copy the skill folder (skills/ads/capabilities/ugc-fixloop in gooseworks-ai/goose-skills) into .claude/skills/ugc-fixloop in your project. Claude Code loads it when a task matches its description.

How do I install Ugc Fixloop in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill ugc-fixloop -a codex`. Or copy the skill folder (skills/ads/capabilities/ugc-fixloop in gooseworks-ai/goose-skills) into .agents/skills/ugc-fixloop in your project. Codex loads it when a task matches its description.

Can I use Ugc Fixloop in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill ugc-fixloop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ugc-fixloop, .gemini/skills/ugc-fixloop, .github/skills/ugc-fixloop and .opencode/skills/ugc-fixloop in your project.

What does Ugc Fixloop need to run?

Going by SKILL.md and its folder, Ugc Fixloop needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Ugc Fixloop access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ugc Fixloop safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Ugc Fixloop use?

Ugc Fixloop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ugc Fixloop use?

About 865 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ugc Fixloop?

Skills that share tags, products or a category with Ugc Fixloop: Super Video Maker (Bomx/super-video-maker-skill, 310 stars), Analyze Video (krusemediallc/arcads-claude-code, 1.6k stars), Ffmpeg Mixing (vargHQ/sdk, 340 stars) and Cassette Model (Cassette-Editor/oh-my-cassette, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ugc Fixloop?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.