analytics-reporter

Visualize usage data from .codex/analytics/metrics.jsonl into charts and summaries.

1|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/tygwan/ultra-codex-init --skill analytics-reporter-tygwan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics-reporter
Source: https://github.com/tygwan/ultra-codex-init/tree/main/.codex/skills/analytics-reporter
Command: npx skills add https://github.com/tygwan/ultra-codex-init --skill analytics-reporter-tygwan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze and report on analytics data to transform raw usage logs into clear, actionable insights and visualizations that inform decisions.

Core Features & Use Cases

  • Usage Visualization: chart tool usage across categories to reveal trends and opportunities.
  • Insight Generation: produce concise narratives and charts for stakeholders.
  • Use Case: When you have a large set of tool interaction logs, this Skill creates charts and summaries to inform optimization decisions.

Quick Start

Run the visualizer script to generate instant charts from .codex/analytics/metrics.jsonl.

Frequently Asked Questions about analytics-reporter

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

FAQPage Schema
How do I visualize usage data from tool interaction logs?

You can visualize usage data by processing logged tool interactions from .codex/analytics/metrics.jsonl. The Skill renders charts using the analytics-visualizer.sh script, supporting hourly, category, and agent breakdowns to reveal usage trends.

How do I generate actionable insights from raw analytics logs?

Generating actionable insights involves transforming raw usage logs into concise narratives and visualizations. The Skill analyzes tool interaction logs to produce summaries and trend analysis across projects, agents, and time for stakeholders.

Can I create dashboards for agent and category breakdowns using metrics.jsonl?

Yes, you can create dashboards from metrics.jsonl. The Skill consumes the .codex/analytics/metrics.jsonl file and generates charts with hourly, category, and agent breakdowns, providing trend analysis to inform optimization decisions.

What is the best way to report on tool usage trends across multiple projects?

The best way to report on tool usage trends is to use a Skill that aggregates logged interactions into summaries and charts. It analyzes metrics across projects, agents, and time, rendering visualizations to inform optimization decisions.

Do I need a specific file format to generate analytics charts and summaries?

You need the .codex/analytics/metrics.jsonl file format to generate analytics charts. The Skill consumes this JSONL format containing tool interaction logs and uses the analytics-visualizer.sh script to render the visualizations.