Moai Alfred Issue Labels

Alfred Issue Labels Skill

Skill Metadata

What It Does

Provides comprehensive GitHub issue label configuration, taxonomy management, and workflow automation mapping for MoAI-ADK projects. Ensures consistent issue categorization and priority management across all repositories.

Key capabilities:

• ✅ Standardized label taxonomy for all issue types
• ✅ Priority-based labeling system (critical/high/medium/low)
• ✅ Workflow automation mappings
• ✅ Consistent issue management across projects
• ✅ Integration with Alfred command workflows

When to Use

Automatic triggers:

• Creating new issues via /alfred:9-feedback
• Issue triage and classification
• Project setup and configuration
• Label management and cleanup

Manual reference:

• Understanding label taxonomy
• Setting up new repositories
• Training team members on issue management
• Customizing workflow automation

Label Taxonomy System

Bug Issues (--bug)

Primary Labels: bug, reported

Priority Labels:

• priority-critical - System down, data loss risk
• priority-high - Major feature broken
• priority-medium - Normal bug (default)
• priority-low - Minor issue, cosmetic

Usage Pattern:

/alfred:9-feedback --bug --priority-high "Login system broken"

Feature Request Issues (--feature)

Primary Labels: feature-request, enhancement

Priority Labels:

• priority-critical - Blocking, must implement immediately
• priority-high - Important feature
• priority-medium - Normal priority (default)
• priority-low - Nice to have

Usage Pattern:

/alfred:9-feedback --feature --priority-medium "Add dark mode support"

Improvement Issues (--improvement)

Primary Labels: improvement, enhancement

Priority Labels:

• priority-critical - Critical refactoring needed
• priority-high - Important improvement
• priority-medium - Normal priority (default)
• priority-low - Technical debt, can wait

Question/Discussion Issues (--question)

Primary Labels: question, help-wanted, discussion

Usage Patterns:

• Technical questions and clarifications
• Architecture discussions
• Feature feedback and suggestions
• Community engagement

Workflow Automation Mappings

Label-Based Automation

Critical Priority:

• Immediate notification to maintainers
• Auto-assignment to lead developers
• SLA: 24-hour response time

High Priority:

• Enhanced visibility in project boards
• Auto-add to milestone planning
• SLA: 72-hour response time

Medium Priority:

• Standard workflow processing
• Regular backlog grooming
• Normal development cycle

Low Priority:

• Future consideration queue
• Community contribution opportunities
• Best-effort timeline

Integration with Alfred Commands

/alfred:9-feedback Command Integration

# Create bug report with automatic labeling
/alfred:9-feedback --bug --priority-high "Critical issue description"

# Create feature request
/alfred:9-feedback --feature --priority-medium "Feature description"

# Create improvement suggestion
/alfred:9-feedback --improvement --priority-low "Improvement idea"

Auto-Assignment Rules

• Bug issues → Assign to bug-fix team
• Feature requests → Assign to feature team
• Documentation → Assign to docs team
• Infrastructure → Assign to DevOps team

Best Practices

✅ DO:

• Always select appropriate primary label type
• Use priority labels consistently
• Provide detailed descriptions
• Link related issues with dependencies
• Update labels when issue scope changes
• Follow team response SLAs

❌ DON'T:

• Mix primary label types (bug + feature)
• Use priority labels without justification
• Leave issues unlabeled
• Ignore label-based automation
• Create custom labels without team consensus

Repository Setup

Required Labels (Minimum Set)

# Primary type labels
bug, feature-request, improvement, question, documentation

# Priority labels  
priority-critical, priority-high, priority-medium, priority-low

# Status labels
needs-triage, in-progress, blocked, ready-for-review, done

Optional Enhanced Labels

# Team labels
team-frontend, team-backend, team-devops, team-docs

# Component labels
component-ui, component-api, component-database, component-auth

# Type-specific labels
performance, security, accessibility, testing, refactoring

Quality Metrics

Label Compliance Rate: Target >95%

• Issues with proper primary label
• Issues with appropriate priority
• Response time compliance by priority

Automation Success Rate: Target >90%

• Correct auto-assignments
• Proper workflow routing
• SLA compliance tracking

Learn more in reference.md for complete label definitions, automation workflows, and team configuration details.

Related Skills:

• moai-alfred-workflow - Issue workflow management
• moai-alfred-agent-guide - Team coordination
• moai-foundation-specs - Requirements management