Find Your Next Movie After a Favorite
Start from one movie you already love and turn it into a shortlist of films with similar tone, genre, and audience response.
Blend Several Favorite Movies Into One Shortlist
Combine two to five seed movies and rank the films that sit at the intersection of those tastes instead of following only one reference title.
ToolA lot of recommendation questions are really blend questions. The brief is not “movies like Zodiac” by itself. It is “something with the investigation quality of Zodiac and the polished suspense of Gone Girl.” Most tools do not handle that well because they only know how to pivot from one title at a time.
The `blend_taste` skill solves that by merging candidate pools from several resolved seed movies, deduping them, and boosting the titles that recur across more than one seed. The result is a shortlist that feels intentionally mixed rather than randomly adjacent. That makes it useful for shared movie-night decisions, editorial programming, and agents that need to transform vague taste descriptions into a ranked set of actual titles.
Agent Guides
Claude
- Connect ToolRouter in Claude: claude mcp add toolrouter -- npx -y toolrouter-mcp
- List the two to five seed movies that define the taste profile you want to blend.
- Run `similar-movies.blend_taste` with those seeds and any exclusions or quality thresholds.
ChatGPT
- Configure ToolRouter in ChatGPT.
- Tell ChatGPT which seed movies define the blend and what titles should be explicitly excluded.
- Run `similar-movies.blend_taste` and inspect the ranked results, especially which ones matched multiple seeds.
Copilot
- Add ToolRouter to Copilot MCP config.
- Provide the seed titles and any avoid list that should be enforced.
- Run `similar-movies.blend_taste` and keep the matched-seed fields, score, and reason strings intact.
OpenClaw
- Connect ToolRouter in OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
- Define the seed movie bundle, the avoid list, and the output shape before running the blend.
- Run `similar-movies.blend_taste` and keep the matched-seed and score fields consistent across briefs.
Related Use Cases
Plan a Movie Marathon
Pick two or three anchor films that set the tone and build a coherent marathon lineup where every film belongs.
Discover Hidden Gems from a Cult Classic
Use a cult classic as the seed and surface lesser-known films that share its tone, rather than the same obvious picks everyone already knows.
Build a Watchlist from a Mood
Name two or three films that match your current mood and turn them into a watchlist instead of scrolling through a streaming catalog.