who-is-actor

Analyze Git commit history to generate detailed developer profiles.

31|10|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/Wscats/who-is-actor --skill who-is-actor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: who-is-actor
Source: https://github.com/Wscats/who-is-actor/tree/main
Command: npx skills add https://github.com/Wscats/who-is-actor --skill who-is-actor

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a deep, AI-driven analysis of developer activity within a Git repository, revealing individual work habits, efficiency, and engagement without requiring any software installation.

Core Features & Use Cases

  • Zero-Dependency Analysis: Operates solely on native Git commands and standard system utilities.
  • Six-Dimensional Profiling: Assesses commit habits, work patterns, development efficiency, code style, code quality, and engagement index.
  • Use Case: A team lead can use this Skill to understand the team's overall contribution patterns, identify potential areas for process improvement, and gain insights into individual developer strengths and weaknesses, fostering better collaboration and workflow optimization.

Quick Start

Analyze the repository at /path/to/your/project.

Frequently Asked Questions about who-is-actor

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

FAQPage Schema
How do I analyze git commit history to generate developer profiles?

Analyzing git commit history to generate developer profiles is done by running native git CLI commands to collect data, which AI then interprets to assess work habits, efficiency, and engagement.

Can I profile developer work patterns without installing external tooling?

You can profile developer work patterns without external tooling by using this zero-dependency Skill, which operates solely on native git commands and standard system utilities to evaluate team dynamics.

What dimensions are assessed when profiling developer efficiency from a git repository?

Profiling developer efficiency from a git repository assesses six dimensions: commit habits, work patterns, development efficiency, code style, code quality, and engagement index.

How do I understand individual developer contributions and team dynamics in git?

Understanding individual developer contributions and team dynamics in git involves interpreting standard CLI data to generate comprehensive AI reports on habits, strengths, weaknesses, and overall collaboration patterns.

Do I need any dependencies or packages to evaluate developer engagement from git?

Evaluating developer engagement from git requires zero dependencies, relying entirely on native git CLI and standard text utilities for data collection before AI interprets the results.

What's the best way to uncover developer insights from a local git repository?

The best way to uncover developer insights from a local git repository is using a zero-dependency Skill that processes native CLI outputs to deliver comprehensive AI reports on code style and efficiency.