watch
Watch a rendered video (whole file or specific ranges) at a chosen fidelity and emit a timestamp-keyed observation report. Observation only — no edits, no verdicts.
npx skills add gooseworks-ai/goose-skills --skill watch --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.
# watch ## Purpose Look at a rendered video and report what is actually on screen and in the audio. By default it watches the entire video and considers visuals, voiceover, music, and sound effects. Callers can narrow the scope (specific timestamp ranges, lower frame rate, disable audio tracks) when they want a cheaper or more focused pass. This is the observation primitive that `watch-and-refine` calls before deciding what to fix. Other review and editing skills can call it directly. ## Inputs - `video` — path to a local video file. Required. - `ranges` — optional list of `[start, end]` timestamps to watch. Accepts `SS`, `MM:SS`, or `HH:MM:SS`. Defaults to the whole video. - `fps` — frame sampling rate. Defaults to auto by duration (≤30s → 1–2 fps, 30s–1min → ~1 fps, 1–3min → ~0.5 fps, 3–10min → ~0.25 fps). Hard cap 2 fps. - `max_frames` — hard cap on total frames sampled across all ranges. Default 100. - `resolution` — frame width in px. Default 512. Bump to 1024 only when on-screen text legibility matters. - `include_voice` — bool, default `true`. Transcribe spoken VO/dialogue. - `include_music` — bool, default `true`. Describe music presence, swells, drops, gain relative to VO.
- Purpose
- Inputs
- Workflow
- Output
- Quality Checks
- Failure Modes
- References
What does the watch skill do?
Watch a rendered video (whole file or specific ranges) at a chosen fidelity and emit a timestamp-keyed observation report. Observation only — no edits, no verdicts.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill watch --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.