Curating User Generated Content

What it does

This skill helps AI agents sift through and organize user-submitted content. It can identify relevant pieces from a larger pool, filter based on specified criteria (like sentiment or topic), and present the most valuable contributions for review or further action. The agent can also summarize large collections of user generated content into concise reports.

When to use it

• Moderating online forums: Automatically flag potentially inappropriate posts or highlight insightful discussions within a community.
• Analyzing customer feedback: Quickly identify recurring themes and sentiment from reviews, surveys, or social media comments.
• Content aggregation: Compile relevant articles or blog posts based on user-defined keywords or topics.
• Research projects: Filter through large datasets of text (e.g., tweets, forum posts) to extract specific information for analysis.

Key capabilities

• Filtering by sentiment
• Topic identification
• Relevance scoring
• Summarization of content collections

Example prompts

• "Find the most positive reviews about our new product from the last week."
• "Summarize all forum posts mentioning 'travel' and 'budget'."
• "Identify any user-submitted articles that discuss renewable energy sources."

Tips & gotchas

The quality of results depends heavily on the clarity of your filtering criteria. Providing specific keywords, desired sentiment ranges, or topic categories will yield more accurate and useful curated content.