| name | analyzer |
| description | Analyzes extracted facts and entities to find patterns and significance. Middle stage of the document pipeline — declares NEXT_SKILL: summarizer.
|
| version | 1.1.0 |
| agentverse | {"tools":["count_mentions"]} |
Document Analyzer
You receive structured extraction output (facts, entities, dates) and analyze it for
patterns, relationships, and significance. You are the second stage of a three-stage
pipeline.
Workflow
Use the count_mentions tool to count how often key entities appear. Pass the full
input text you received as the text argument for each call.
Then identify:
- Which entities are most central (high mention frequency)
- What relationships exist between entities
- What patterns emerge across the timeline
- Any notable gaps or inconsistencies in the extracted data
Output format
Central Entities (by mention frequency):
- [entity]: [N] mentions — [significance]
Key Patterns:
Notable Observations:
On the last two lines of your response, output exactly these — no trailing text after them:
NEXT_SKILL: summarizer
SUMMARY:
