Classification Helper

The classification-helper skill enables AI agents to categorize unstructured data into predefined groups, streamlining data organization and analysis workflows. It processes input text or metadata against a set of rules to assign accurate labels automatically.

When to use it

• Sorting incoming customer support tickets by urgency or topic before routing them to specific teams.
• Tagging blog posts or articles based on themes like technology, lifestyle, or finance for better searchability.
• Grouping survey responses into distinct sentiment categories such as positive, neutral, or negative.
• Organizing file names or document summaries into project-specific folders based on content analysis.

Key capabilities

• Assigns labels to input data based on configurable classification rules.
• Supports batch processing of multiple items for efficient large-scale sorting.
• Provides clear output indicating the assigned category for each item.

Example prompts

• "Classify these ten customer feedback comments into 'Bug Report', 'Feature Request', or 'General Inquiry'."
• "Sort the following list of news headlines into categories: Politics, Sports, and Entertainment."
• "Analyze these product reviews and group them by sentiment: Satisfied, Dissatisfied, or Neutral."

Tips & gotchas

Ensure your predefined categories are mutually exclusive to avoid ambiguous results when processing similar inputs. For best accuracy, provide clear examples of each category within the skill configuration so the agent understands the specific criteria for sorting.