name: note-processor description: Summarize and analyze research notes created by research-assistant. Features: generate summaries, extract keywords, search within topics, list all topics. Works with research_db.json format. Perfect for finding patterns, reviewing research progress, and extracting insights from accumulated notes without re-reading everything.

Note Processor

Analyze and summarize research notes to extract insights quickly.

Quick Start

note_processor.py summarize <topic>
note_processor.py keywords <topic>
note_processor.py extract <topic> <keyword>
note_processor.py list

Examples:

# Get a summary of a research topic
note_processor.py summarize income-experiments

# Extract top keywords from notes
note_processor.py keywords security-incident

# Search for specific information
note_processor.py extract income-experiments skill

# List all research topics with stats
note_processor.py list

Features

• Summaries - Overview of topic with statistics, tags, key points
• Keywords - Extract most common words (filters stop words)
• Search - Find notes containing specific keywords
• List - See all research topics with basic stats
• Integration - Works with research-assistant's database format

When to Use

After Research Sessions

# Summarize what you learned
note_processor.py summarize new-research-topic

# Extract key themes
note_processor.py keywords new-research-topic

Before Writing Reports

# Find specific information
note_processor.py extract income-experiments monetization

# Get overview for introductions
note_processor.py summarize income-experiments

Reviewing Progress

# See all topics and their sizes
note_processor.py list

# Check what you've been working on
note_processor.py keywords income-experiments

Command Details

summarize <topic>

Shows:

• Note count and word count
• Creation and last update dates
• Top 5 tags
• Key points (sentences with important words)
• 3 most recent notes

Output example:

📊 Summary: income-experiments
------------------------------------------------------------
Notes: 4
Words: 63
Created: 2026-02-07
Last update: 2026-02-07

🏷️  Top Tags:
   content: 2
   automation: 2
   experiment: 2

💡 Key Points:
   1. First experiment: create and publish skills...
   2. Second experiment: content automation pipeline...

keywords <topic>

Shows:

• Total unique keywords
• Top 20 keywords with frequency
• Filters common stop words (that, this, with, from, etc.)

Output example:

🔤 Keywords: income-experiments
------------------------------------------------------------
Total unique keywords: 38

Top 20 Keywords:
  1. experiment           ( 4x)
  2. skill                ( 3x)
  3. clawhub              ( 2x)
  4. content              ( 2x)