Stitch Videos Ffmpeg Agent Skill

by gooseworks-ai

stitch video segments with ffmpeg concat, xfade, overlay, audio mux, and export settings.

5k tokens

context cost

the whole folder, loaded on every use

files

ships runnable scripts

copies elsewhere

how many repositories repackaged it

1086

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/gooseworks-ai/goose-skills --skill stitch-videos-ffmpeg

What comes with it

16 908 bytes besides the instruction

scripts/composite.py

scripts/composite_final.py

scripts/composite_final.sh

scripts/normalize_clip.sh

scripts/voiceless/composite.py

skill.meta.json

tests/expected-output.md

tests/human-test.md

tests/sample-input.md

tests/smoke-test.md

tests/verifier.md

The instruction itself

7 sections, as written by the author

stitch-videos-ffmpeg

Purpose

Stitch video segments with ffmpeg concat, xfade, overlay, audio mux, and export settings.

Implementation status: refactored from existing repository skills. The workflow consolidates behavior that previously lived across larger skills.

Sources: ad-studio, voiceover-product-ad, ugc-product-video, voiceless-music-transformation-reel, product-stopmotion-ad.

Extraction notes: assembly and composite scripts.

Inputs

A clear user brief or source asset path.
Brand, product, audience, platform, and approval constraints when relevant.
Required credentials or provider access for any external service used by this skill.
Output directory or test-run directory where artifacts should be saved.

Workflow

Read the brief and confirm all required inputs are present.
Load any referenced files in this skill folder only when they are needed.
Run the provider, script, or planning workflow described by this skill.
Save outputs under the requested output folder or skills/test-runs/<timestamp>/<skill-name>/ during tests.
Write or update a manifest.json for executable runs with status, provider, outputs, warnings, and errors.

Output

Primary artifact or written plan requested by the skill.
manifest.json for executable runs.
verification.md or a short verification summary that names the checks performed.
Any generated source assets, intermediate files, or final exports in the run folder.

Quality Checks

Required files exist and paths in the manifest are valid.
Output matches the requested format, platform, duration, dimensions, or text structure.
Brand claims, captions, on-screen text, and CTAs follow the provided brand rules.
Provider failures, skipped integrations, and human-review needs are explicit.

Failure Modes

Missing credentials, provider access, or source files.
Output does not match requested dimensions, duration, structure, or brand constraints.
Generated media contains artifacts, unreadable text, unsafe claims, or caption collisions.
Scaffolded skills cannot run production workflows until implementation details are added.

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13k tokens

How to use it

Copy the folder

Take gooseworks-ai/stitch-videos-ffmpeg from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.