team-shinchan:analytics

Analyze work-tracker JSONL logs to compute agent, session, and delegation metrics.

8|2|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/seokan-jeong/team-shinchan --skill team-shinchan-analytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-shinchan:analytics
Source: https://github.com/seokan-jeong/team-shinchan/tree/main/skills/analytics
Command: npx skills add https://github.com/seokan-jeong/team-shinchan --skill team-shinchan-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill transforms raw work-tracker JSONL event logs into concise observability metrics so teams can understand agent activity, session outcomes, and delegation patterns without manual log sifting.

Core Features & Use Cases

  • Session and Agent Summaries: Aggregate events into per-session stats and per-agent call counts, durations, and success rates.
  • Trace and Timeline Analysis: Produce trace timelines and event distributions for debugging and postmortem review.
  • Delegation Graphs & Alerts: Map which agents delegated tasks to others and surface anomalies such as agents with zero completions or low success rates.

Quick Start

Run the analytics skill to generate a full report from the .shinchan-docs/work-tracker.jsonl file for the desired period and output format.

Frequently Asked Questions about team-shinchan:analytics

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

FAQPage Schema
How do I analyze work-tracker JSONL logs to compute agent metrics and session statistics?

You can analyze work-tracker JSONL logs by running a Node script that aggregates events into per-session stats, per-agent call counts, durations, and success rates, transforming raw event logs into concise observability metrics.

What is a delegation graph and how does it map agent task handoffs?

A delegation graph maps which agents delegated tasks to others during a session, surfacing delegation patterns and anomalies such as agents with zero completions or low success rates for debugging and postmortem review.

How do I generate trace timelines and event distributions from JSONL event logs?

Generate trace timelines and event distributions by applying an analytics script to your JSONL logs, producing trace timelines and calculating event distribution percentages to help review session outcomes and debug agent activity.

Can I filter agent observability metrics by a specific time period and output as JSON?

Yes, you can filter agent observability metrics by a specific time period and output the results as JSON; the analytics script supports period filtering and offers both table and JSON output formats for session summaries and agent details.

Does this analytics tool require any external dependencies to run on Node.js?

No external dependencies are required to run this Node.js analytics tool; it operates independently to compute agent call counts, average durations, and success rates directly from work-tracker JSONL data without additional packages.