amoa-label-taxonomy

What problem does it solve?

This Skill enforces a consistent, machine-readable GitHub label taxonomy and prevents common labeling errors by providing clear cardinality rules, lifecycle procedures, and CLI operations for creating, querying, updating, and validating labels across issues and PRs.

Core Features & Use Cases

• Cardinality Enforcement: Defines and enforces rules like exactly-one status/priority/type and at-most-one assign label to prevent workflow regressions.
• Lifecycle Operations: Procedures for initial labeling, triage, assignment, completion, reassignment, and bulk updates using the GitHub CLI.
• Validation & Automation: Validation scripts and query patterns to detect and fix violations, plus example workflows for assignment and completion.
• Use Case: Automate triage and assignment for orchestrated agents: ensure new issues receive required metadata, reassign safely, and move tasks through ai-review → human-review → merge-release.

Quick Start

Apply the label assign:implementer-2 to issue 42 and transition its status from status:ready to status:in-progress using the GitHub CLI.