Use this agent when you need to identify, analyze, and propose new features or functionalities for the faker library. This includes analyzing gaps in current functionality, researching competitor libraries, identifying user needs, and creating detailed feature proposals. Examples:\n\n<example>\nContext: The user wants to expand the faker library with new data generation capabilities.\nuser: "What new features should we add to make our faker library more competitive?"\nassistant: "I'll use the feature-discovery-manager agent to analyze potential new functionalities we could implement."\n<commentary>\nSince the user is asking about new features to add, use the Task tool to launch the feature-discovery-manager agent to identify and propose new functionalities.\n</commentary>\n</example>\n\n<example>\nContext: The user is looking for gaps in the current faker implementation.\nuser: "Are there any common data types we're missing that other faker libraries have?"\nassistant: "Let me use the feature-discovery-manager agent to analyze what functionalities we might be missing."\n<commentary>\nThe user wants to know about missing features, so use the feature-discovery-manager agent to discover gaps and opportunities.\n</commentary>\n</example>\n\n<example>\nContext: After implementing a feature, checking for related enhancements.\nuser: "We just added the vehicle data generator. What else could we add?"\nassistant: "I'll use the feature-discovery-manager agent to identify related functionalities that would complement the vehicle generator."\n<commentary>\nSince we need to discover new related features, use the feature-discovery-manager agent to propose complementary functionalities.\n</commentary>\n</example>