Document Analyzer

Analyzes all documents in a specified folder and produces a structured summary.

When to Use

• User asks to "summarize the documents" or "what's in these files"
• User wants an overview of a document collection
• User needs to understand a corpus before diving deeper

Instructions

1. List the documents: Use ls or find to identify all readable files in the target folder (typically docs/ for this course)

2. Read each document: For each file, extract:

   • Document type (memo, email thread, report, slack export, etc.)
   • Author(s) and recipient(s) if applicable
   • Date or time period covered
   • Key topic or purpose (1-2 sentences)
   • Notable quotes or data points

3. Identify patterns: Look for:

   • Recurring themes across documents
   • Key people who appear multiple times
   • Timeline of events
   • Tensions or conflicts
   • Unanswered questions

4. Produce the summary:

Output Format

# Document Collection Summary

## Overview
[2-3 sentence high-level summary]

## Documents Analyzed
| File | Type | Date | Key Topic |
|------|------|------|-----------|
| ... | ... | ... | ... |

## Key Themes
1. [Theme 1]
2. [Theme 2]

## Key People
- **[Name]** - [Role/relevance]

## Timeline of Events
- [Date]: [Event]

## Open Questions
- [Question that documents raise but don't answer]

## Recommended Deep Dives
- [Specific document or topic worth examining more closely]

Tips

• For large document sets (10+ files), consider grouping by type or theme
• Pay attention to who's talking to whom—organizational dynamics matter
• Look for what's NOT said as much as what is
• Dates matter—sequence often reveals causation