contributor-analyzer

Analyze engineering contributors from commit diffs to generate performance reviews.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/anivar/contributor-analyzer --skill contributor-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: contributor-analyzer
Source: https://github.com/anivar/contributor-analyzer/tree/main
Command: npx skills add https://github.com/anivar/contributor-analyzer --skill contributor-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex and time-consuming process of analyzing engineering contributor performance for reviews, promotions, and progress tracking.

Core Features & Use Cases

  • Comprehensive Analysis: Reads every commit diff to provide a data-driven assessment.
  • Automated Reporting: Generates promotion-ready performance reviews and comparison files.
  • Use Case: An engineering manager needs to conduct annual reviews for their team. They can use this Skill to analyze each contributor's commit history, identify strengths and weaknesses, assess bug introduction rates, and determine promotion readiness, all consolidated into clear reports.

Quick Start

Analyze contributor "alice" for 2025 annual review in repo org/repo with git email [email protected].

Frequently Asked Questions about contributor-analyzer

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

FAQPage Schema
How do I generate a performance review for a git contributor?

Generate a performance review for a git contributor by reading commit diffs to track progress and assess production ownership. This produces promotion-ready reports evaluating engineering maturity and accuracy rates for annual reviews.

What is contributor analysis based on commit history?

Contributor analysis based on commit history is the process of reading git diffs to evaluate bug introduction rates and engineering maturity. It provides a data-driven assessment of production ownership and promotion readiness.

Can I assess promotion readiness using local git and gh CLI?

Yes, you can assess promotion readiness using local git and gh CLI. The analysis reads commit diffs directly from the repository to calculate accuracy rates and generate promotion-ready performance reports.

How do I automate engineering maturity evaluation for annual reviews?

Automate engineering maturity evaluation for annual reviews by reading every commit diff to generate data-driven performance assessments. This identifies strengths and weaknesses to determine overall contributor promotion readiness.

Does contributor analysis require any external dependencies?

Contributor analysis requires no external package dependencies, relying solely on local git and gh CLI. It operates independently using internal scripts and references to evaluate commit history and generate reports.

What is the best way to track contributor progress and bug introduction rates?

The best way to track contributor progress and bug introduction rates is by analyzing commit diffs to calculate accuracy rates and evaluate engineering maturity. This generates comparison files for data-driven performance reviews.