Story-Based Pattern Framing

About

Transform how LLM agents and human investigators identify complex patterns using a structured four-act narrative: The Promise, The Betrayal, The Consequences, and The Source. By mirroring the natural investigation thought process and frontloading distinctive criteria, this skill enables detection speeds up to 70% faster than traditional checklists or formal specifications. It is designed to be domain-independent, making it equally effective for software code analysis, security vulnerability audits, business process reviews, and UX dark pattern identification.

Key Features

• Search-optimized criteria placement to reduce false positives
• Four-act narrative structure for causal pattern identification
• Narrative templates for documenting systemic anti-patterns
• 10 GitHub stars
• Domain-independent application across code, business, and security
• Experimental guidance for efficient sub-agent delegation

Use Cases

• Creating high-efficiency diagnostic tools for codebases or security audits
• Documenting organizational anti-patterns to improve business processes
• Delegating automated pattern-finding tasks to LLM sub-agents