fulcra-watch-together

Choose what to watch

Skill
Community

Compare two consenting people's viewing histories and recommend mutually appealing movies with Fulcra.

A worked example of sharing without merging ownership. Two people each keep their own viewing history in their own account, share a narrow slice of it, and get recommendations neither history would produce alone.

  • Each participant ingests their own Netflix or Letterboxd export with fulcra-ingest, then creates a narrow, preferably time-bounded share. The agent shows you the exact command before it runs, and never shares everything.
  • Enriches titles with genre, cast and other features, caching progress as it goes so a long run survives an interruption.
  • Scores unseen candidates against both histories, applies explicit vetoes, then re-ranks for novelty, availability, runtime and franchise fatigue.
  • Returns five to ten picks with a separate reason for each person, plus its confidence, its assumptions, and how to revoke the share.
  • Keeps the session in a workspace so another agent can resume it, while raw histories and anything derived from a partner's data stay out of it.

This is a community skill. Open the source to read the scoring model and the consent rules before your agent runs it.

Paste this to your agent

Two of us want something we'll both enjoy watching. Start now, with no setup: ask each of us for a few things we loved and hated recently, and make a shortlist. For the version built on our real histories, read https://docs.fulcradynamics.com/agent-get-started.txt and connect to our Fulcra accounts, then follow the fulcra-watch-together community skill — read its consent rules first, and show us each sharing command before anything is shared.