metrics-report

Generate formatted metrics reports from task boards, logs, system performance, and development history.

2|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/PaulKinlan/docker-agent-test --skill metrics-report-paulkinlan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metrics-report
Source: https://github.com/PaulKinlan/docker-agent-test/tree/main/config/skills/analyst/metrics-report
Command: npx skills add https://github.com/PaulKinlan/docker-agent-test --skill metrics-report-paulkinlan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq, bc, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of comprehensive metrics reports, providing key indicators, identifying trends, and offering actionable recommendations to drive improvements.

Core Features & Use Cases

  • Data Aggregation: Collects quantitative data from various sources including task boards, logs, system metrics, and version control.
  • Trend Analysis: Computes changes over time and identifies patterns in performance.
  • Recommendation Generation: Ties specific, data-driven recommendations to observed metrics.
  • Use Case: Generate a weekly performance report for a software development team, highlighting task completion rates, error trends, and system resource utilization, along with suggestions for optimization.

Quick Start

Use the metrics-report skill to produce a report summarizing key performance indicators for the last quarter.

Frequently Asked Questions about metrics-report

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

FAQPage Schema
How do I generate a metrics report from task boards and system logs?

To generate a metrics report, you can use this Skill to collect and analyze data from task boards, logs, and version control, identifying key indicators and trends. It processes your data using bash, jq, and bc to calculate performance metrics and output actionable recommendations.

What data sources can I use for software development performance analysis?

For software development performance analysis, you can use task boards, log files, system performance metrics, and development history. The analysis aggregates this quantitative data to compute changes over time and identify patterns in team performance and system utilization.

Do I need jq and bc installed to analyze system performance trends?

Yes, you need jq and bc installed to analyze system performance trends, as the Skill relies on bash and these specific dependencies for data processing and mathematical calculations. These tools are required to parse your logs and compute the quantitative metrics.

Can I automate weekly performance reporting for a development team?

Yes, you can automate weekly performance reporting for a development team by processing task completion rates, error trends, and system resource utilization. The generated report highlights key performance indicators and provides data-driven suggestions for optimization.

What is the best way to identify error trends from log files?

The best way to identify error trends from log files is to aggregate the data and compute changes over time to find patterns. This Skill analyzes your logs and development history to tie specific, data-driven recommendations directly to the observed error metrics.

Are there limitations when generating data-driven recommendations from version control?

Limitations when generating data-driven recommendations depend on the quantitative data available within your version control and task boards, as the Skill relies entirely on parsing this input. Without comprehensive development history or system metrics, the accuracy of trend analysis and recommendations may be constrained.