analyse-issue

What problem does it solve?

Manually analyzing complex GitHub issues for the MONDO Disease Ontology is a time-consuming, expert-intensive, and error-prone process. This Skill automates the rigorous validation, pattern identification, and structured reporting of these issues, freeing up valuable human curator time and ensuring consistent, high-quality ontological development.

Core Features & Use Cases

• Automated Issue Validation: Automatically assess the medical and terminological validity of MONDO GitHub issues, cross-referencing against existing design patterns and suggesting improvements.
• Structured Report Generation: Produce comprehensive, AI-generated reports that include Mermaid diagrams for proposed changes, medical/clinical justifications, and terminological correctness, formatted for direct use.
• Duplication & Identifier Checks: Perform checks for existing terms and validate identifiers using obo-grepl.obo, preventing redundancy and ensuring data integrity.
• Use Case: A MONDO curator receives a new GitHub issue requesting a novel disease term. Instead of spending hours on manual research and report drafting, they activate this Skill. The AI analyzes the request, identifies relevant design patterns, proposes a classification, and generates a detailed, ready-to-post report, allowing the curator to focus on high-level review.

Quick Start

Analyze GitHub issue number 12345 for the MONDO ontology, generating a detailed report and saving it to 'src/ontology/tmp/issue_12345_analysis.md'.