Pattern Finder

What This Skill Does

The Pattern Finder is an analytical tool designed to extract signal from noise by identifying shared core principles across two disparate information sources. Rather than performing a surface-level keyword search, the agent acts as an analytical detective that evaluates the conceptual alignment of ideas. By analyzing the underlying meaning, it bridges the gap between different linguistic representations of the same logic. This skill is critical for users who need to validate hypotheses or verify that certain principles are not just isolated anecdotes but recurring patterns that hold weight across multiple datasets.

Installation

You can integrate this capability directly into your OpenClaw environment using the following command:

clawhub install openclaw/skills/skills/leegitw/pattern-finder

Once installed, the agent will monitor your inputs for requests involving comparative analysis or validation of ideas between two sources.

Use Cases

This skill is best utilized in the following scenarios:

• Synthesizing research: Identifying foundational concepts that appear in multiple academic papers or reports.
• Strategy refinement: Comparing business advice from different mentors to find the common pillars of success.
• Cross-referencing documentation: Detecting alignment between two different technical specifications or internal wikis.
• Ideation validation: Determining if a specific creative theory is supported by external, independent sources.

Example Prompts

1. "I have these two articles about remote work culture; can you find where they agree and identify the core principles?"
2. "Here are my notes from the last two marketing seminars. Do these speakers share a common philosophy, or are they suggesting different strategies?"
3. "Look at these two company policy documents. What are the shared cultural patterns that appear in both of them?"

Tips & Limitations

To get the best results, ensure your provided sources are substantive enough to contain clear logical propositions. The tool relies on semantic understanding rather than exact string matching, so it is highly effective at identifying synonymous concepts. Note that the agent maintains a neutral, detective-like tone and will intentionally avoid 'picking a winner' between sources, focusing instead on objective triangulation. Currently, the skill is optimized for two sources (N=2) to establish initial validation. If you have more than two sources, the agent can still process them, but it works most effectively by comparing them in sequential pairs to build toward a 'Golden Master' (N≥3) level of validation.