machina-sports News Monitor: Storylines Skill
This skill monitors news articles for a given entity and clusters them into distinct storylines.
Use Cases
- Tracking media coverage for a specific player, team, or league.
- Identifying emerging narratives and trending topics.
- Summarizing key events over a specific time period.
How to Use
Invoke the skill through its entry-point workflow, news-monitor-workflow, providing the following inputs:
entity(string): The name of the entity to search for (e.g., "Kylian Mbappé").entity_type(string): The type of entity (e.g., "player", "team").start_date(string): The start date for the news search (e.g., "2023-10-27").
Example
machina skills run news-monitor-storylines entity="Kylian Mbappé" entity_type="player" start_date="2024-05-01"
Output
The skill returns a JSON object with two main keys:
storylines: A list of identified storylines, each with a title, summary, timeline, sources, and a recommended action.outliers: A list of articles that did not fit into any specific storyline.