deployer-training

Scan codebases with Gemini AI to generate Markdown training documentation.

2|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/DTMC-marketplace/governance --skill deployer-training
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deployer-training
Source: https://github.com/DTMC-marketplace/governance/tree/main/skills/deployer-training
Command: npx skills add https://github.com/DTMC-marketplace/governance --skill deployer-training

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-genai, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation of comprehensive training documentation for software deployers and developers by analyzing a codebase, saving significant manual documentation effort.

Core Features & Use Cases

  • Automated Documentation Generation: Scans entire codebases to produce detailed guides.
  • Targeted Content: Generates sections on Executive Summary, System Architecture, Product Capabilities, Developer Onboarding, and Operational Guide.
  • EU AI Act Compliance: Directly addresses transparency (Art. 13) and human oversight (Art. 14) requirements.
  • Use Case: When onboarding a new engineer to a complex project, use this Skill to generate an immediate, detailed onboarding guide covering setup, architecture, and best practices.

Quick Start

Use the deployer-training skill to generate a developer guide for the current repository.

Frequently Asked Questions about deployer-training

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

FAQPage Schema
How do I generate developer onboarding documentation from a codebase?

You can generate developer onboarding documentation by scanning your codebase with Gemini AI to produce structured Markdown guides covering system architecture, setup, and operational procedures.

What is the best way to automate technical writing for EU AI Act compliance?

Automating technical writing for EU AI Act compliance involves scanning source code to generate documentation addressing Article 13 transparency and Article 14 human oversight requirements directly.

Does the documentation generation process respect .gitignore and exclude environment files?

Yes, the documentation generation process respects .gitignore rules and explicitly excludes .env files, scanning all programming languages while preventing sensitive configuration data from leaking.

Can I use this codebase analysis to create an operational guide for software deployers?

Yes, you can use codebase analysis to create an operational guide for software deployers that covers system architecture, product capabilities, and developer onboarding in a comprehensive Markdown document.

Do I need Gemini AI to scan all programming languages in my repository?

Yes, you need the google-genai dependency to scan all programming languages in your repository, as it provides the AI capabilities required to analyze the codebase and generate the structured Markdown documentation.

What sections are included in the generated deployer training documentation?

The generated deployer training documentation includes sections for an Executive Summary, System Architecture, Product Capabilities, Developer Onboarding, and an Operational Guide to ensure comprehensive project coverage.