Accelerates pattern and anti-pattern detection for AI agents using a structured four-act narrative framework.
This skill implements a narrative storytelling structure—comprising The Promise, The Betrayal, The Consequences, and The Source—to optimize how Claude identifies patterns and anti-patterns across any domain. By frontloading distinctive criteria and establishing causal relationships rather than flat checklists, it enables LLM agents to filter false positives up to 70% faster. It is particularly effective for code analysis, security audits, business process reviews, and UX design evaluations where complex behaviors need to be systematically detected, documented, and resolved through causal reasoning.
