movie-advisor

To get personalized movie recommendations, you provide a reference title or describe your mood, and the Skill queries TMDb and OMDb APIs to rank and filter similar films. It returns concise structured summaries with a one-sentence rationale for each recommendation.

Yes, you can retrieve movie metadata by querying the TMDb and OMDb APIs. The Skill fetches ratings, synopsis, cast details, runtime, and streaming availability to help you evaluate films and make viewing decisions.

The best way to build a themed watchlist is to specify your scenario or tastes, allowing the system to rank and filter titles based on your preferences. It generates curated recommendations and short critic-style analyses suitable for CLI logging or conversational responses.

The tool requires querying TMDb and OMDb APIs to retrieve ratings and streaming availability. You need to ensure your environment is configured to access these external services to successfully fetch the metadata required for ranking and filtering films.

You generate critic-style film reviews by requesting in-depth evaluations based on user preferences. The Skill queries metadata from TMDb and OMDb, applying ranking and filtering to return evidence-backed analyses and structured movie details for group selections or watchlists.