movie-picks

Recommend films and TV series matched to a viewer taste profile and viewing mode.

Updated Feb 17, 2026
One-click install
npx skills add https://github.com/VedaAstro/veda-skills --skill movie-picks
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: movie-picks
Source: https://github.com/VedaAstro/veda-skills/tree/main/kino
Command: npx skills add https://github.com/VedaAstro/veda-skills --skill movie-picks

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes guesswork from choosing what to watch by recommending films and series that match Alex’s fixed taste profile, whether watching alone or with his wife.

Core Features & Use Cases

  • Mode selection: Separates recommendations into SOLO and WITH_WIFE flows so the result matches the viewing context first.
  • Taste-based filtering: Prioritizes story pressure, system conflicts, consequences, smart humor, or lighter emotional balance depending on the mode.
  • Watch-history awareness: Uses the watched list to avoid repeats and to refine future recommendations based on what has already worked or failed.
  • Practical output: Produces a short list of 3–5 options with reasons, similarity anchors, and confidence levels for quick decision-making.

Quick Start

Ask for movie recommendations and specify whether you are watching alone or with your wife.

Frequently Asked Questions about movie-picks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get movie recommendations based on my personal taste profile?

Movie recommendations based on your taste profile are generated by filtering films through story pressure, system conflicts, and humor quality. The system outputs a short list of options with reasons and confidence levels.

Can I get film recommendations for couples viewing that match both preferences?

Film recommendations for couples viewing are supported through a dedicated mode that adjusts filtering to prioritize lighter emotional balance and smart humor, ensuring the selected films match the shared viewing context.

How does watch-history awareness prevent duplicate film recommendations?

Watch-history awareness prevents duplicate film recommendations by checking your watched list and refines future picks by analyzing what has previously worked or failed based on your taste profile.

What is the best way to filter TV series by story pressure and emotional weight?

Filtering TV series by story pressure and emotional weight is handled by a preference-based filtering system that evaluates plot pressure, system conflicts, and consequences to match your selected viewing mode.

Does the film curation process avoid disliked patterns from previously watched titles?

The film curation process avoids disliked patterns by analyzing your watched titles and filtering out unwanted themes and narrative structures to refine future recommendations for solo or couple scenarios.