Engineer Expertise Extractor

About

This skill enables teams to preserve and scale engineering expertise by transforming GitHub activity into a comprehensive 'digital mentor' profile. By analyzing pull requests, code reviews, and commits, it automatically generates a structured knowledge base covering everything from naming conventions and design patterns to complex architectural trade-offs. It is particularly valuable for onboarding new hires, standardizing team practices, and capturing critical tribal knowledge before a senior developer departs, ensuring that high-level expertise remains accessible and actionable for both human developers and AI agents.

Key Features

• Automated GitHub PR and code review analysis using the GitHub CLI
• 6 GitHub stars
• Identification of recurring design patterns and problem-solving approaches
• Documentation of architectural decisions and technical trade-offs
• Generation of a structured profile folder with categorized markdown documentation
• Extraction of coding styles, naming conventions, and language-specific idioms

Use Cases

• Preserving institutional knowledge and reducing the 'bus factor' when senior developers leave a team
• Accelerating onboarding by providing new hires with a senior engineer's documented style and patterns
• Providing AI agents with specific engineering profiles to ensure generated code matches team standards