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pipeline-metrics

Generate pipeline health metrics from state files, PostgreSQL, GitHub CLI, and Linear.

3|1|Updated Oct 9, 2025
Search Tags:#devops#metrics#reporting#pipeline#velocity#ci
One-click install
npx skills add https://github.com/OmniNode-ai/omniclaude --skill pipeline-metrics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pipeline-metrics
Source: https://github.com/OmniNode-ai/omniclaude/tree/main/plugins/onex/skills/pipeline-metrics
Command: npx skills add https://github.com/OmniNode-ai/omniclaude --skill pipeline-metrics

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides crucial insights into the efficiency and stability of your software development pipelines, helping you identify bottlenecks and improve delivery speed.

Core Features & Use Cases

  • Comprehensive Metrics: Tracks cycle time, rework ratio, CI stability, and feature velocity.
  • Data Source Integration: Pulls data from local state files, PostgreSQL databases, GitHub, and Linear.
  • Use Case: A development lead can use this Skill at the start of a sprint planning meeting to quickly assess the team's recent pipeline performance and identify areas for improvement.

Quick Start

Run the pipeline-metrics skill to get a report of your recent pipeline health.

Frequently Asked Questions about pipeline-metrics

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

FAQPage Schema
How do I report pipeline health metrics like cycle time and CI stability?▼

Pipeline health metrics are generated by aggregating cycle time, rework ratio, CI stability, and feature velocity from local state files, PostgreSQL, GitHub CLI, and Linear MCP to deliver actionable insights for software delivery.

Does pipeline metrics reporting work with GitHub and Linear data sources?▼

Pipeline metrics reporting integrates directly with GitHub CLI and Linear MCP, alongside local state files and PostgreSQL databases, to pull execution logs and provide comprehensive software pipeline health insights.

Can I filter feature velocity metrics by specific repository or ticket?▼

You can filter feature velocity and other pipeline health metrics by specific ticket and repository, allowing targeted analysis of cycle time, rework ratio, and CI stability for focused sprint planning.

What output formats are supported for CI stability and rework ratio reports?▼

Pipeline health reports support flexible output formats including table and JSON, allowing development leads to easily assess cycle time, rework ratio, CI stability, and feature velocity during sprint planning.

Do I need PostgreSQL to track software delivery cycle time and bottlenecks?▼

PostgreSQL is used to pull data from agent_execution_logs or skill_execution_logs, but you can also integrate local state files, GitHub CLI, and Linear MCP to identify bottlenecks and track software delivery cycle time.

When do I need to generate DevOps pipeline health reports?▼

You need to generate DevOps pipeline health reports when identifying bottlenecks and improving delivery speed, such as at the start of a sprint planning meeting to quickly assess recent pipeline performance and identify areas for improvement.

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