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eroslifestyle
eroslifestyleCOMMUNITY
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metrics

Aggregate task, parallelism, agent usage, token, error, duration, and learning metrics into a session dashboard.

1|Updated Feb 1, 2026
Search Tags:#performance#metrics#dashboard#statistics#session analysis#agent usage
One-click install
npx skills add https://github.com/eroslifestyle/Claude-Orchestrator-Plugin --skill metrics-eroslifestyle
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: metrics
Source: https://github.com/eroslifestyle/Claude-Orchestrator-Plugin/tree/main/github-package/skills/metrics
Command: npx skills add https://github.com/eroslifestyle/Claude-Orchestrator-Plugin --skill metrics-eroslifestyle

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive overview of the current session's performance, including task completion rates, parallelism, agent usage, and error statistics, helping users understand and optimize their workflow.

Core Features & Use Cases

  • Task Metrics: Displays counts for total, completed, failed, in-progress, and pending tasks.
  • Parallelism Metrics: Estimates maximum parallel tasks, average tasks per batch, and parallelism efficiency.
  • Agent Usage: Ranks the top 5 agents by task count.
  • Error Metrics: Tracks total errors, auto-recovered errors, and manually escalated errors.
  • Use Case: After a complex multi-agent task, use this Skill to quickly assess how efficiently the agents performed, identify any bottlenecks, and understand which agents were most utilized.

Quick Start

Display the full metrics dashboard for the current session.

Frequently Asked Questions about metrics

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

FAQPage Schema
How do I monitor AI agent session performance and task completion rates?▼

Session performance monitoring is achieved by generating a detailed metrics dashboard that aggregates task completion rates, parallelism, agent usage, token usage, and error statistics to help you understand and optimize your workflow.

What is parallelism efficiency and how is it calculated for multi-agent tasks?▼

Parallelism efficiency estimates maximum parallel tasks, average tasks per batch, and overall parallelism efficiency within your session to help you assess how efficiently your agents performed during complex multi-agent tasks.

How do I track agent usage and identify which agents are most utilized?▼

Track agent usage by generating a session metrics dashboard, which ranks the top 5 agents by task count, allowing you to quickly identify bottlenecks and understand which agents were most utilized.

Can I analyze error statistics and auto-recovered errors for AI sessions?▼

Yes, you can analyze error statistics for AI sessions. The metrics dashboard tracks total errors, auto-recovered errors, and manually escalated errors to provide a comprehensive overview of session stability.

Do I need session history access to generate session metrics dashboards?▼

Yes, generating an accurate session metrics dashboard requires access to session history and task status data to properly aggregate task, parallelism, agent usage, token, error, and duration metrics.

What is the best way to assess bottlenecks after a complex multi-agent task?▼

The best way to assess bottlenecks after a complex multi-agent task is to generate a session metrics dashboard, which provides a comprehensive overview of performance, task counts, and agent utilization to identify inefficiencies.

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