octolens

Analyze GitHub repository metrics for contributor activity, issue resolution time, and pull request velocity.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Niraven/pokee-deep-research-skill --skill octolens-niraven
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: octolens
Source: https://github.com/Niraven/pokee-deep-research-skill/tree/main/skills/octolens
Command: npx skills add https://github.com/Niraven/pokee-deep-research-skill --skill octolens-niraven

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides in-depth analytics and actionable insights into GitHub repositories, helping developers and project managers understand repository health and performance.

Core Features & Use Cases

  • Contributor Activity Analysis: Track and visualize the activity levels of repository contributors.
  • Performance Metrics: Monitor key metrics such as issue resolution time and pull request velocity.
  • Code Quality Insights: Analyze code churn and other metrics to understand code health.
  • Use Case: A project manager can use this Skill to assess the team's productivity and identify potential bottlenecks in the development workflow.

Quick Start

Use the octolens skill to analyze contributor activity for the repository at 'https://github.com/Niraven/pokee-deep-research-skill'.

Frequently Asked Questions about octolens

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

FAQPage Schema
How do I analyze GitHub repository metrics for contributor activity and pull request velocity?

To analyze GitHub repository metrics, this Skill retrieves data via the GitHub API to track contributor activity, issue resolution time, and pull request velocity. It generates actionable insights into repository performance and developer engagement.

Can I track developer productivity using GitHub API code metrics?

Yes, you can track developer productivity by analyzing GitHub API code metrics such as contributor activity levels and code churn. This provides data-driven insights into repository health and helps identify workflow bottlenecks.

What is the best way to monitor issue resolution time and code quality insights for a GitHub repository?

The best way to monitor issue resolution time and code quality is by analyzing repository performance metrics. This Skill evaluates code churn and pull request velocity to provide a clear picture of code health and development efficiency.

Do I need GitHub API access to use project management analytics for my repository?

Yes, you need GitHub API access to retrieve repository data for project management analytics. The Skill depends on this access to extract contributor activity, issue resolution times, and pull request velocity for analysis.

Why use GitHub repository analytics for project management and software engineering workflows?

GitHub repository analytics provide data-driven insights into repository performance, helping project managers assess team productivity. By analyzing code metrics and developer engagement, you can identify bottlenecks and improve software engineering workflows.

What GitHub repository performance metrics can I evaluate to identify development workflow bottlenecks?

You can evaluate GitHub repository performance metrics including contributor activity, issue resolution time, and pull request velocity. Analyzing these code metrics helps identify potential bottlenecks in your development workflow.