ajbcoding/claude-skill-eval/moai-alfred-issue-labels

Name: moai-alfred-issue-labels
Author: ajbcoding

Trust tier 3

community

By ajbcoding
AI/ML
ajbcoding/claude-skill-eval
moai-adk-main/.claude/skills/moai-alfred-issue-labels/SKILL.md
Updated 18 Oct 2026
Version 1.0.01 version recorded

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Enterprise GitHub issue labeling orchestrator with semantic label taxonomy, AI-powered auto-labeling, label hierarchy system, workflow automation, issue triage acceleration, and stakeholder communication; activates for issue classification, label management, workflow automation, priority assignment, and team communication

Install

npx vskill@latest install ajbcoding/claude-skill-eval/moai-alfred-issue-labels

SKILL.md

Enterprise GitHub Issue Labeling Orchestrator v4.0.0

Skill Metadata

Field	Value
Skill Name	moai-alfred-issue-labels
Version	4.0.0 Enterprise (2025-11-12)
AI Integration	✅ Context7 MCP, semantic analysis, auto-classification
Auto-load	On issue creation/update for auto-labeling
Categories	Type, Priority, Status, Component, Custom
Lines of Content	850+ with 13+ production examples
Progressive Disclosure	3-level (taxonomy, patterns, automation)

What It Does

Provides comprehensive issue labeling system with semantic taxonomy, AI-powered auto-labeling, label hierarchy, workflow automation, and stakeholder communication patterns.

Semantic Label Taxonomy

Type Labels

type: bug          → Something isn't working correctly
type: feature      → New capability or enhancement
type: refactor     → Code restructuring without behavior change
type: chore        → Maintenance tasks (dependencies, configs)
type: docs         → Documentation improvements
type: test         → Test suite improvements
type: security     → Security vulnerability or hardening
type: performance  → Performance optimization
type: infra        → Infrastructure/DevOps changes

Priority Labels

priority: critical  → Blocks production, urgent (SLA: 4 hours)
priority: high      → Significant impact, schedule soon (SLA: 1 day)
priority: medium    → Normal priority, standard schedule (SLA: 1 week)
priority: low       → Nice to have, backlog (SLA: unbounded)

Status Labels

status: triage      → Waiting for team analysis
status: investigating → Team actively investigating
status: blocked     → Waiting for external dependency
status: ready       → Ready for implementation
status: in-progress → Currently being worked on
status: review      → In code review
status: testing     → In QA/testing
status: done        → Completed and verified
status: wontfix     → Intentionally not fixing
status: duplicate   → Duplicate of another issue

Component Labels

component: api          → REST/GraphQL API
component: database     → Database layer
component: auth        → Authentication/Authorization
component: ui          → User interface
component: performance  → Performance-related
component: documentation → Docs and guides
component: infrastructure → DevOps/Cloud
component: sdk          → Client SDK

Special Labels

good first issue  → Suitable for new contributors
help wanted       → Seeking community assistance
needs design      → Requires design/architecture review
needs security review → Requires security audit
breaking-change   → Will break backward compatibility
requires-testing  → Needs comprehensive testing

AI-Powered Auto-Labeling

Detection Heuristics

Issue title/body contains:
  "bug", "error", "crash"     → type: bug
  "feature", "add", "support" → type: feature
  "refactor", "reorganize"    → type: refactor
  "update docs", "README"     → type: docs
  "security", "vulnerability" → type: security
  "slow", "performance"       → type: performance
  "dependency", "package"     → type: chore

Severity Assessment

Critical signals:
  - "production down"
  - "data loss"
  - "security vulnerability"
  - "all users affected"
  - "regression"
  
High signals:
  - "breaks feature"
  - "many users affected"
  - "workaround unknown"
  
Medium signals:
  - "specific feature broken"
  - "some users affected"
  - "workaround exists"
  
Low signals:
  - "cosmetic issue"
  - "single user"
  - "easy workaround"

Label Workflow Automation

Triage Workflow

New Issue
    ↓
Auto-labeled (AI classification)
    ↓
[Label confirmed?]
    ├─ Yes → Route to component owner
    └─ No → Manual triage by team lead
    ↓
Assigned to sprint/milestone
    ↓
In-progress (implementation)
    ↓
Review (code review)
    ↓
Testing (QA verification)
    ↓
Done (released)

Label Transition Rules

triage → investigating → [blocked|ready]
  ↓
ready → in-progress → review → testing → done
 
Blocked → ready (dependency resolved)
WontFix → closed (decision made)
Duplicate → linked to original

Best Practices

DO

✅ Use exactly 5-8 labels per issue (minimal, curated)
✅ Always include: type + priority + status
✅ Use component labels for multi-repo tracking
✅ Update status as work progresses
✅ Use "blocking" relationships for dependencies
✅ Review and prune unused labels monthly
✅ Link duplicate issues
✅ Add assignee before "in-progress"

DON'T

❌ Use 20+ labels per issue (too much metadata)
❌ Create labels for single issues (not scalable)
❌ Leave issues in "triage" indefinitely
❌ Use labels instead of milestones
❌ Change priority without discussion
❌ Add "working on it" without in-progress label
❌ Forget to update status as issue progresses

Related Skills

moai-alfred-practices (Workflow patterns)
moai-foundation-specs (Issue specification)

For detailed label reference: reference.md For real-world examples: examples.md Last Updated: 2025-11-12 Status: Production Ready (Enterprise v4.0.0)

Security

Security scanPassed, 90 of 100Pattern checks on the skill's files.
Model reviewPassed

See the full security report

Quality evaluation

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Source

SKILL.md in the repositoryCheckingmoai-adk-main/.claude/skills/moai-alfred-issue-labels/SKILL.md

Popularity

Repository stars: 4
7-day trend score: 8

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 30 Mar 2026, 7 months ago.

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