skill-manager

Skill ecosystem maintenance identifies gaps and inconsistencies in your YAML frontmatter, section structure, and metadata across all skills. This Skill parses your inventory, calculates quality and structure scores, diagnoses issues, and generates improvement plans—eliminating manual auditing and ensuring consistent standards.

Automated improvements apply fixes to skill definitions when authorized, standardizing YAML frontmatter, section structure, and formatting rules. The Skill performs auto-edits across your repository while enforcing path and formatting constraints, reducing manual remediation work.

Template provisioning generates standardized skill templates and new-skill scaffolds that conform to your ecosystem's structure requirements. The Skill enforces consistent metadata patterns, section layouts, and formatting conventions across generated outputs.

Token-efficiency analysis calculates cost and performance metrics for each skill, while quality scoring measures completeness and structure compliance. Diagnostic reports reveal optimization opportunities and structural problems affecting your entire skill collection.

The Skill handles ecosystem-wide analysis including skills with component references and structural dependencies. It processes entire repositories regardless of complexity, diagnosing issues across interdependent skills and generating fixes that maintain consistency.

Problem diagnosis identifies metadata gaps, formatting violations, and structural inconsistencies in your skills. The Skill generates diagnostic markdown explaining issues and provides automated remediation options or manual fixes to restore compliance.