pattern-detector

Detect and log recurring themes via keyword frequency analysis across data sources.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Growth4U-systems/sanchocmo-openclaw --skill pattern-detector-growth4u-systems
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pattern-detector
Source: https://github.com/Growth4U-systems/sanchocmo-openclaw/tree/main/skills/pattern-detector
Command: npx skills add https://github.com/Growth4U-systems/sanchocmo-openclaw --skill pattern-detector-growth4u-systems

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill simplifies the detection of recurring themes across data channels, making it easier to understand key patterns and learnings.

Core Features & Use Cases

  • Frequency Analysis: Detects themes mentioned more than three times within a specified timeframe.
  • Theme Extraction: Extracts topics from decisions, insights, and quotes.
  • Data Output: Appends findings to a log file, which can be used for further analysis or proactive suggestions.
  • Use Case: Use this Skill to uncover common customer concerns or product issues by analyzing meeting notes and discussions.

Quick Start

Run the /pattern-detector command to start analyzing patterns in the last 30 days of intelligence data.

Frequently Asked Questions about pattern-detector

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect recurring themes in customer feedback data?

Frequency analysis identifies recurring themes in customer feedback by counting keyword occurrences across your data sources. It logs topics mentioned multiple times to highlight common concerns and product issues.

How do I extract common topics from meeting notes and discussions?

Extract common topics from meeting notes by running a frequency analysis to identify themes mentioned more than three times. This Skill appends the extracted findings to a log file for continuous improvement tracking.

What is the best way to automate pattern detection across multiple data channels?

Automate pattern detection across data channels by running frequency analysis on keyword occurrences within a specified timeframe. This approach continuously logs recurring themes to uncover key learnings for proactive suggestions.

Can I use keyword frequency analysis to analyze the last 30 days of intelligence data?

Yes, you can analyze the last 30 days of intelligence data by running the pattern detection command. It scans the specified timeframe to detect and log themes mentioned more than three times.

Does pattern detection work for continuous improvement processes?

Pattern detection works for continuous improvement processes by extracting recurring themes from insights and decisions. It appends these findings to a log file, enabling further analysis and proactive suggestions for ongoing refinement.