skill-up

🥈Silver

A Claude Code plugin that automatically tracks and visualizes usage statistics for Claude Code Skills on a per-month basis, stored as JSON.

1100Updated 1mo ago

Intermediate30min to implementautomation

Saves ~25 min per use

Quick InstallView Source

git clone https://github.com/BumgeunSong/skill-up.git

Works with:

Claude

Overview

About This Skill

skill-up is a Claude Code plugin designed to track and visualize usage statistics for Claude Code Skills. It hooks into Claude Code's pre-tool and post-tool events to automatically record when each skill is used, storing monthly statistics in JSON format. This gives developers and teams a clear picture of which skills are being used most frequently over time. The plugin includes a skill list view and a skill detail view for exploring usage data. It is built for anyone who wants visibility into their Claude Code skill activity without manual logging.

Use Cases

Monitor which Claude Code Skills are used most often across a project

Review monthly skill usage trends to inform workflow decisions

Identify underused or overused skills within a development team

Audit skill activity automatically without manual tracking

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/BumgeunSong/skill-up

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Analyze my usage statistics for the 'skill-up' plugin over the past 30 days. Provide a visual representation of the data, including the number of skills used, time spent per skill, and frequency of usage. Highlight any trends or patterns you observe. Focus on [COMPANY] industry-specific metrics if available.

Example Output

## Usage Statistics Analysis for 'skill-up' Plugin

### Overview
- **Total Skills Used**: 15
- **Total Time Spent**: 12 hours 30 minutes
- **Average Time per Skill**: 48 minutes

### Daily Usage Trends

```
Day 1: 2 skills, 1 hour 30 minutes
Day 2: 3 skills, 2 hours 15 minutes
Day 3: 1 skill, 30 minutes
Day 4: 4 skills, 3 hours
Day 5: 2 skills, 1 hour 15 minutes
Day 6: 3 skills, 2 hours 30 minutes

```

### Top 3 Most Used Skills
1. **Data Analysis**: 4 times, 2 hours 30 minutes
2. **Content Generation**: 3 times, 2 hours 15 minutes
3. **Code Optimization**: 2 times, 1 hour 45 minutes

### Observations
- **Peak Usage Days**: Days 2 and 4 showed the highest usage, likely due to project deadlines.
- **Skill Diversity**: A variety of skills were used, indicating a broad application of the plugin.
- **Time Efficiency**: Skills related to data analysis and content generation were used more frequently, suggesting a high demand in these areas.

### Recommendations
- **Focus Areas**: Consider investing more time in skills related to data analysis and content generation to enhance productivity.
- **Consistency**: Aim for a more consistent daily usage pattern to maintain a steady learning curve.