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Interest Discovery

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tukaelu·vlatest·other

This skill identifies user interests from conversation to personalize recommendations and enhance engagement.

Repository

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This skill no longer installs under the name interest-discovery. tukaelu/agent-skills is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

tukaelu

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Live repository

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Not scanned. repository not found or private Source recorded as tukaelu/agent-skills.
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About this skill

What it does

The interest-discovery skill helps AI agents identify and understand user interests. It analyzes text input to extract potential hobbies, passions, or areas of curiosity a user might have. This allows the agent to tailor responses, suggest relevant resources, and build more personalized interactions.

When to use it

  • Personalized Recommendations: Suggest books, movies, or articles based on inferred user interests from conversation history.
  • Targeted Content Delivery: Filter news feeds or social media updates to show content aligned with a user’s identified passions.
  • Conversation Starters: Initiate discussions about topics the agent believes will resonate with the user.
  • Profile Enrichment: Populate user profiles with inferred interests for improved personalization across different applications.

Key capabilities

  • Interest Extraction: Identifies potential interests from text input.
  • Topic Categorization: Groups extracted interests into broader categories (e.g., "sports," "arts," "technology").
  • Confidence Scoring: Provides a confidence level for each identified interest, indicating the likelihood of accuracy.

Example prompts

  • "Based on this conversation, what are some things this user might be interested in?"
  • "Analyze this text and identify potential hobbies or passions."
  • "What topics should I suggest to this user based on their recent activity?"

Tips & gotchas

The accuracy of interest discovery depends heavily on the quality and clarity of the input text. Vague or ambiguous language may lead to inaccurate results.