Automates GitHub issue triage and categorization using Miyabi’s 57-label classification system.
This skill empowers Claude to perform intelligent, AI-driven analysis of GitHub issues by automatically inferring appropriate labels from the comprehensive Miyabi 57-label system. It streamlines the issue lifecycle—from creation to backlog management—by evaluating technical keywords, urgency, and project hierarchy. It ensures consistent categorization across 11 categories, including Priority, Severity, and Agent assignment, allowing teams to maintain a highly organized, autonomous development workflow with minimal manual intervention.
Key Features
01Priority and Severity detection based on security, impact, and SLA requirements
02Automatic inference across 11 categories and 57 specialized labels
037 GitHub stars
04Automated escalation recommendations for critical security or performance bugs
05Intelligent hierarchy mapping (root, parent, child, leaf) for task decomposition
06Contextual analysis of titles, descriptions, comments, and linked issues
Use Cases
01Managing and prioritizing project backlogs based on technical complexity
02Ensuring consistent metadata across large-scale open-source repositories
03Automating the triage process for newly created GitHub issues
