skill-stats

Analyze quality engineering skill usage patterns and trigger methods from log data.

Updated Jun 15, 2026
One-click install
npx skills add https://github.com/CENKSSS/valocase-backend --skill skill-stats-cenksss
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-stats
Source: https://github.com/CENKSSS/valocase-backend/tree/main/.claude/skills/skill-stats
Command: npx skills add https://github.com/CENKSSS/valocase-backend --skill skill-stats-cenksss

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Analyze which quality engineering (QE) skills are being used, identify underused skills, and optimize skill effectiveness to enhance workflow efficiency.

Core Features & Use Cases

  • Usage Pattern Analysis: Monitor popular, undertriggering, and unused skills.
  • Trigger Method Insight: Determine how skills are activated (explicit or auto-selected).
  • Recommendations for Optimization: Suggest improvements, merges, or deprecations based on usage patterns.

Quick Start

Use the /skill-stats command to analyze skill usage statistics.

Frequently Asked Questions about skill-stats

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze AI workflow skill usage patterns for optimization?

Analyzing AI workflow skill usage patterns involves evaluating skill popularity and trigger methods to provide optimization suggestions. You can monitor popular, undertriggering, and unused skills to enhance workflow efficiency.

What is the best way to identify underused quality engineering skills?

Identifying underused quality engineering skills requires log data access to evaluate skill performance and trigger methods. This analysis reveals which skills are undertriggering or completely unused.

How do I check if my skills are being auto-selected or explicitly triggered?

Checking skill activation methods requires log data access to evaluate how skills are triggered. The analysis determines whether skills are activated through explicit user commands or auto-selected by the system.

Do I need log data to evaluate skill performance in my AI system?

Yes, log data access is required to evaluate skill performance within an AI system. The analysis uses this log data to provide insights into skill popularity and trigger methods.

When should I merge or deprecate skills based on usage patterns?

You should merge or deprecate skills based on usage patterns when the analysis identifies them as underused or ineffective. The evaluation provides specific recommendations for optimization, merges, or deprecations.