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movies-for-ai-agents

movies-for-ai-agents contiene 5 skills recopiladas de JCodesMore, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.

skills recopiladas
5
Stars
6
actualizado
2026-04-30
Forks
1
Cobertura ocupacional
4 categorías ocupacionales · 100% clasificado
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Skills en este repositorio

setup
Desarrolladores de software

First-run configuration for the movies-for-ai-agents plugin. Use when the user says "set up movies-for-ai-agents", "configure movies", "first run", "add my TMDB key", "set up my movie profile", or when any other movies-for-ai-agents skill calls an MCP tool that reports "TMDB API key not configured". Captures the TMDB API key and, optionally, a brief taste-priming pass (favorite genres, directors, a few favorite movies) so later recommendations work out of the gate.

2026-04-30
discover-movies
Escritores y autores

Browse what's popular, trending, newly released, currently in theaters, or filter by IMDb rating / interest / director. Use when the user asks "what's popular right now", "what's trending", "what's new", "what's in theaters", "show me this week's movies", "anything good out lately", "sci-fi with IMDb 8+", "heist movies", "Nolan films", "hidden gems", or wants to see a feed of current hot titles. Not for personalized picks — for that, use `recommend`. Not for finding a specific title — for that, use `find-movie`.

2026-04-17
find-movie
Productores y directores

Search for a specific movie by title, keyword, year, or fuzzy description. Use when the user asks "find that movie…", "what's the name of the movie where…", "search for [title]", "look up [title]", "tell me about [movie]", or wants information about a specific film they already have in mind. Not for open-ended recommendations — for that, use the `recommend` skill.

2026-04-17
recommend
Conserjes

Personalized movie recommendations tailored to the user's stored taste profile, watch history, and whatever mood/constraint they mention right now. Use when the user asks "what should I watch", "recommend me a movie", "suggest something", "I'm in the mood for [X]", "something like [X]", "help me pick a movie", "got two hours tonight — what should I watch", "anything I'd like that's new", or any other open-ended ask for a personalized pick. This is the flagship skill — invest in making each recommendation feel reasoned, not generic.

2026-04-17
movies-journal
Productores y directores

Silently keep the user's watched history and taste profile current as they mention movies in conversation. Use whenever the user says "I watched X", "I saw X last night", "I just finished X", "we watched X", "loved X", "hated X", "didn't like X", "that was great/terrible", "best movie ever", "worst movie", "add X to my watchlist", or otherwise signals a movie-viewing event or taste reaction — even if it's a passing mention in the middle of another topic. Do NOT trigger on hypotheticals ("I want to watch X", "I should watch X") — those belong on the watchlist instead. This skill exists so the user's taste profile and history stay rich without any manual logging.

2026-04-17