developer-assessment

Collects GitLab activity via gl-cli.py and generates Markdown assessments across six dimensions.

Updated Jan 16, 2026

Search Tags:#automation #analysis #reporting #code-quality #GitLab #CSV #developer-assessment

One-click install

npx skills add https://github.com/yaochangyu/gitlab-developer-assessment --skill developer-assessment

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: developer-assessment
Source: https://github.com/yaochangyu/gitlab-developer-assessment/tree/main/.copilot/skills/developer-assessment
Command: npx skills add https://github.com/yaochangyu/gitlab-developer-assessment --skill developer-assessment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the complex process of evaluating GitLab developers by collecting relevant activity data and producing objective, multi-dimensional assessments. It helps teams understand individual or group performance across code contributions, collaboration, and technical breadth, reducing manual review effort.

Core Features & Use Cases

Multi-developer analysis: Compare a single developer, a few developers, or all team members.
Time and scope filtering: Filter by time ranges (e.g., past month, past three months) and by project scope (specific projects or all projects).
Automated reporting: Generate a structured Markdown report with six score dimensions, actionable improvement guidance, and learning directions. Reports are stored under the standard path for loading into context during activation.

Quick Start

Use the Skill to analyze developers by issuing commands to the gl-cli.py tool. For example:

Single developer, last month, specific project: python3 gl-cli.py user-details --username en20241119 --start-date 2024-12-21 --end-date 2026-01-21 --project-name "新求才WebVue"
Multiple developers in a shared project: python3 gl-cli.py user-details --username alice bob --start-date 2024-12-21 --end-date 2026-01-21 --project-name "新求才WebVue"
Analyze all developers for a period: python3 gl-cli.py user-details --start-date 2024-12-21 --end-date 2026-01-21

Frequently Asked Questions about developer-assessment

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

FAQPage Schema

How do I automate GitLab developer analytics and reporting?▼

Automate GitLab developer analytics by collecting activity data via gl-cli.py and generating a CSV-driven multi-dimensional assessment, outputting a structured Markdown report with actionable insights. The tool handles data collection, analysis across six dimensions, and comprehensive reporting automatically.

Can I analyze multiple developers in a specific GitLab project?▼

Yes, you can analyze multiple developers in a specific GitLab project by passing multiple usernames to the gl-cli.py user-details command. The tool supports single, multiple, or all developers across configurable time ranges and project scopes.

What dimensions are evaluated in a GitLab developer assessment report?▼

GitLab developer assessment reports evaluate six dimensions covering code contributions, collaboration, and technical breadth. The structured Markdown report includes objective scores, actionable improvement guidance, and learning directions for individual or team performance.

Do I need to manually format GitLab data to generate a developer assessment?▼

No, manual formatting is not needed. The automated workflow uses gl-cli.py for data collection and applies CSV-driven analysis across six dimensions directly. It produces a reproducible Markdown report stored at the assigned output path without manual intervention.

How do I filter GitLab coding activity analysis by time range?▼

Filter GitLab coding activity analysis by specifying start-date and end-date parameters in the gl-cli.py command. You can analyze past months or custom periods for single, multiple, or all developers across specific or all projects.

What is the output format for automated GitLab developer performance insights?▼

The output format for automated GitLab developer performance insights is a structured Markdown report. It contains multi-dimensional scores, improvement guidance, and learning directions, stored under a standard path for loading into context.