analytics

Query local analytics data to analyze OrchestKit agent performance and token costs.

217|20|Updated Dec 31, 2025
One-click install
npx skills add https://github.com/yonatangross/orchestkit --skill analytics-yonatangross
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics
Source: https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/analytics
Command: npx skills add https://github.com/yonatangross/orchestkit --skill analytics-yonatangross

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides deep insights into how OrchestKit agents, skills, and hooks are performing across your projects, helping you optimize usage and understand costs.

Core Features & Use Cases

  • Performance Metrics: Analyze agent invocation frequency, skill usage, and hook performance.
  • Cost Analysis: Estimate token costs and identify savings from caching.
  • Session Replay: Reconstruct and visualize past session timelines.
  • Use Case: Understand which agents are used most often, identify slow-performing hooks, and track your token expenditure over the last month to optimize your AI workflows.

Quick Start

Show me the top 5 agents by invocation count and their model breakdown.

Frequently Asked Questions about analytics

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

FAQPage Schema
How do I analyze agent performance and model delegation in OrchestKit?

To analyze agent performance, this Skill queries local analytics data from `~/.claude/analytics/` to evaluate agent invocation frequency, model delegation patterns, and skill usage across your projects.

Can I estimate token costs and identify caching savings for my AI workflows?

Yes, you can estimate token costs by analyzing your local usage data. The Skill calculates token expenditure estimates and identifies cost savings specifically achieved through caching mechanisms.

What is the best way to reconstruct and visualize past session timelines?

The best way to reconstruct session timelines is using the session replay feature, which rebuilds past sessions from local analytics logs and visualizes them for detailed review.

How do I identify slow-performing hooks and track team activity?

You can identify slow hooks by analyzing hook timing metrics stored locally. The Skill processes these logs to highlight performance bottlenecks and tracks overall team activity patterns.

Does the analytics dashboard support data visualization with Recharts?

Yes, the analytics dashboard supports data visualization by rendering markdown tables and integrating directly with Recharts to display performance metrics and usage insights.

Do I need any external dependencies to query local OrchestKit usage metrics?

No external dependencies are required. The Skill operates independently by querying local analytics data already stored in the `~/.claude/analytics/` directory on your system.