research-yt

LLM-driven research over a YouTube channel. The skill scripts handle deterministic I/O (listing, fetching, transcribing); the synthesis is done by you (Claude) reading the script outputs.

Inputs (collect before starting)

Always ask the user for:

1. Channel(s) — one or more handles, URLs, or @names (e.g. @veritasium, or @veritasium, @3blue1brown). Multiple channels are encouraged when the user wants comparison or broader coverage.
2. Topic — research focus (e.g. "quantum computing"). Used as the topic-file slug.
3. Specific video (optional) — single URL/ID to scope to one video instead of the channel(s).
4. Output format — markdown (default) or PDF, asked at runtime.
5. How many videos per channel to consider — defaults to newest 50 per channel; ask if the user wants more/less. Be explicit that the limit is per-channel so the user can budget their time.

Don't guess any of these. If the user names multiple channels but not the topic (or vice versa), ask before running anything — multi-channel runs cost N× the metadata fetch time.

Workspace + artifact layout

Two distinct things live in the current working directory: