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agent-onboarding

Onboard AI to codebase slices by identifying affected files and generating navigation maps.

6|Updated Jun 24, 2026
Search Tags:#code analysis#change management#AI integration#context building#codebase onboarding
One-click install
npx skills add https://github.com/PL-Coding-GmbH/Skills --skill agent-onboarding-pl-coding-gmbh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-onboarding
Source: https://github.com/PL-Coding-GmbH/Skills/tree/main/skills/agent-onboarding
Command: npx skills add https://github.com/PL-Coding-GmbH/Skills --skill agent-onboarding-pl-coding-gmbh

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps in onboarding AI to specific slices of a codebase, ensuring efficient context building for upcoming changes like migrations, refactorings, or extensions.

Core Features & Use Cases

  • Slice Scoping: Defines the scope of the change, identifying affected files and code units.
  • System Prompt Analysis: Reads existing rules and conventions to provide context.
  • Glossary Creation: Develops a central glossary for domain terminology.
  • Decision Records: Captures user decisions for future reference.
  • Navigation Mapping: Generates metadata for affected code units.
  • Use Case: When preparing for a migration, this Skill can help by identifying all the files and components that will be affected, ensuring a smooth transition.

Quick Start

Run the agent-onboarding skill with the command: onboard-agent slice-name "change description".

Frequently Asked Questions about agent-onboarding

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

FAQPage Schema
How do I onboard AI to a specific codebase slice for a migration?▼

To onboard AI for a codebase migration, scope the affected files, analyze existing rules, create a glossary, and generate navigation maps to provide efficient context for the upcoming changes.

What is the best way to build AI context for codebase refactoring?▼

Building AI context for codebase refactoring involves identifying affected code units, reading existing system prompt rules, capturing user decisions, and generating metadata navigation maps.

How do I identify affected files before starting a codebase extension?▼

Identify affected files before a codebase extension by defining the slice scope and analyzing the codebase to map out all components and code units that will be impacted.

Do I need to provide user input when onboarding AI for change management?▼

Yes, providing user input is required for onboarding AI for change management, as it is necessary to define the scoping parameters and capture specific decisions for future reference.

Can I create a glossary for domain terminology as part of AI codebase onboarding?▼

Yes, you can create a central glossary for domain terminology during AI codebase onboarding to ensure consistent context building and understanding across the affected codebase slice.

When do I need to generate navigation maps for my codebase?▼

Generate navigation maps for your codebase when preparing for migrations or refactorings, as they provide metadata for affected code units to ensure a smooth transition and efficient change management.

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