What problem does it solve? Complex architectures like browser extensions with Background and Content Scripts, multi-step business flows, and distributed systems often hide logical flaws such as incomplete sequences, circular dependencies, and uncovered decision branches. This Skill forces structured, step-by-step reasoning to expose and validate those failure points before implementation. ## Core Features & Use Cases - Decomposed Reasoning: Breaks complex problems into numbered, validated thought steps using the sequentialthinking_tools MCP interface. - Architecture Validation: Analyzes Background Script vs Content Script logic, message routing, and data flows in browser extensions. - Failure Point Detection: Identifies incomplete sequences, missing exit conditions, and circular dependencies in logic chains. - Use Case: When designing a Chrome extension, use this Skill to validate the message-passing flow between the background service worker and content scripts, confirming every event listener has a defined input, output, and error path. ## Quick Start Ask the AI to validate the logic of your extension's background and content script communication using sequential step-by-step reasoning.