moai-alfred-issue-labels

GitHub issue label standardization uses consistent taxonomy and automation mappings to enforce uniform labeling across projects. This Skill applies predefined label sets and priority schemes to MoAI-ADK repositories, ensuring all issues follow the same classification structure and enabling reliable triage and routing.

Yes. Workflow automation uses template-driven mappings that automatically triage and categorize issues based on predefined label sets and priority-to-label rules. This Skill integrates with Alfred command workflows to route issues and apply labels without manual intervention.

Priority-to-label mappings align issue severity with standardized label taxonomy. This Skill establishes required label sets, priority schemes, and auto-assignment rules that ensure every issue receives consistent priority classification and routing according to governance requirements.

Integration points connect label taxonomy to Alfred workflows and feedback systems. When issues are created or updated, automation rules apply the correct labels and status based on predefined mappings, channeling work through consistent governance and quality metrics.

Yes. This Skill implements required label sets, status labels, and integration points customized per project scope. Configuration maps priority schemes and auto-assignment rules to your specific MoAI-ADK repositories and Alfred workflows for consistent governance.

Inconsistent labeling breaks workflow automation and triage reliability. This Skill enforces standardized taxonomy through automation mappings and quality metrics, preventing misrouted issues and enabling accurate reporting, compliance tracking, and work channeling across projects.