watch

> **Fork notice:** this is [bradautomates/claude-video](https://github.com/bradautomates/claude-video) patched to transcribe with local whisper.cpp instead of the paid Groq/OpenAI Whisper API. See [README.md](README.md) for what changed. # /watch You don't have a video input; this skill gives you one. A Python script gets captions first, optionally downloads the video, extracts frames as JPEGs (scene-aware, or fast keyframes at `efficient` detail), gets a timestamped transcript (native captions first, then Whisper API as fallback), and prints frame paths. You then `Read` each frame path to see the images and combine them with the transcript to answer the user. ## Resolve `SKILL_DIR` (do this before any command) Every `python3 ...` command below runs a bundled script under `SKILL_DIR/scripts/`. Set `SKILL_DIR` to the **absolute path of the directory containing THIS SKILL.md you just Read** — your harness told you that path in the Read result. The scripts are always a direct sibling of this file (`SKILL_DIR/scripts/watch.py`), in every install layout: ``` Read ~/.claude/plugins/cache/claude-video/watch/<ver>/skills/watch/SKILL.md → SKILL_DIR=…/skills/watch Read ~/.codex/skills/watch/SKILL.md → SKILL_DIR=~/.codex/skills/watch Read ~/.agents/skills/watch/SKILL.md → SKILL_DIR=~/.agents/skills/watch ``` Substitute that literal path for `${SKILL_DIR}` in every command. This works on every harness ...