TasteRay Recommendations
Plugin ActiveTasteRay API integration for personalized recommendations across verticals (movies, restaurants, products, travel, jobs). Use when you need to recommend items, answer 'what would I like' questions, provide personalized recommendations, rank items for users, explain why something matches their taste, or integrate psychological profiles with recommendation systems.
To enable AI agents to provide genuinely personalized recommendations by leveraging the TasteRay API and understanding user preferences deeply.
Features
- Generate personalized recommendations across movies, restaurants, products, travel, and jobs.
- Answer 'what would I like' questions with contextually relevant answers.
- Rank and score items based on individual user taste and profile.
- Provide explanations connecting recommendations to user preferences and history.
- Integrate psychological profiles derived from conversation into the recommendation context.
Use Cases
- Recommending items based on explicit preferences and psychological profiles.
- Answering nuanced 'what would I like' queries with personalized suggestions.
- Ranking potential items for a user, considering their history and constraints.
- Explaining the reasoning behind a recommendation to build user trust.
Non-Goals
- Performing psychological elicitation itself (relies on separate skills).
- Acting as a general knowledge base outside of recommendation contexts.
- Providing recommendations without understanding user context or preferences.
- Replacing direct user surveys for preference gathering.
Maintenance
- info:Commit recencyThe last commit was on April 16, 2026, which is recent, but the 90-day threshold for a warning is not met by the provided date.
Security
- warning:Secret ManagementThe SKILL.md mentions an 'X-API-Key: your-api-key' placeholder, indicating a secret is used but not how it is securely handled or if it's configurable.
- warning:Data ExfiltrationThe API key is required for communication, and while it's mentioned as a header, there's no explicit documentation on how it's securely stored or transmitted, raising a potential exfiltration risk if handled improperly.
- warning:Keychain-stored secretsThe API key is mentioned as a requirement but there is no explicit documentation on whether it is stored securely in `userConfig` with `sensitive: true`.
Versioning
- info:Release ManagementThe SKILL.md has a version '1.0', but there are no GitHub release tags or a CHANGELOG.md to track updates.
Compliance
- info:GDPRThe plugin processes user preferences and profiles, which may contain personal data, but it's unclear if this data is sanitized before being sent to the TasteRay API.
Protocol
- info:Idempotent retry & timeoutsThe SKILL.md mentions handling rate limits with a 'Retry-After' header and implementing exponential backoff for server errors, suggesting retry logic, but idempotency is not explicitly addressed.
Installation
First, add the marketplace
/plugin marketplace add tasteray/skills/plugin install recommendations@tasteray-skillsQuality Score
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