stitch-videos-ffmpeg
stitch video segments with ffmpeg concat, xfade, overlay, audio mux, and export settings.
npx skills add gooseworks-ai/goose-skills --skill stitch-videos-ffmpeg --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.
# 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 1. Read the brief and confirm all required inputs are present. 2. Load any referenced files in this skill folder only when they are needed. 3. Run the provider, script, or planning workflow described by this skill. 4. Save outputs under the requested output folder or `skills/test-runs/<timestamp>/<skill-name>/` during tests. 5. Write or update a `manifest.json` for executable runs with status, provider, outputs, warnings, and errors. ## Output - Prima
- Purpose
- Inputs
- Workflow
- Output
- Quality Checks
- Failure Modes
What does the stitch-videos-ffmpeg skill do?
stitch video segments with ffmpeg concat, xfade, overlay, audio mux, and export settings.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill stitch-videos-ffmpeg --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.