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NVIDIA-NeMo
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plugin-config

Standardize NeMo Platform plugin configuration with Pydantic models and hierarchical loading.

58|16|Updated May 14, 2026
Search Tags:#pydantic#configuration#plugin#yaml#environment variables#nemo
One-click install
npx skills add https://github.com/NVIDIA-NeMo/nemo-platform --skill plugin-config
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plugin-config
Source: https://github.com/NVIDIA-NeMo/nemo-platform/tree/main/packages/nemo_platform_plugin/src/nemo_platform_plugin/.agents/skills/plugin-config
Command: npx skills add https://github.com/NVIDIA-NeMo/nemo-platform --skill plugin-config

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a unified, type-safe framework for managing configuration settings across NeMo Platform plugins, eliminating manual parsing errors and inconsistent environment variable handling.

Core Features & Use Cases

  • Type-Safe Configuration: Uses Pydantic-based models to enforce schema validation for plugin settings.
  • Multi-Source Loading: Automatically aggregates settings from environment variables, YAML files, and hardcoded defaults.
  • Use Case: Developers can define a configuration class for a new plugin, and the system will automatically map environment variables like NMP_MY_PLUGIN_DEBUG to the corresponding class fields.

Quick Start

Use the plugin-config skill to generate a new configuration class for your plugin by defining the required plugin_name and plugin_description fields within a NemoConfig subclass.

Frequently Asked Questions about plugin-config

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

FAQPage Schema
How do I manage NeMo plugin configurations using environment variables and YAML?▼

To manage NeMo plugin configurations, you can use a Pydantic-based framework that aggregates settings from environment variables, YAML files, and class defaults, ensuring type safety and consistent access.

How does Pydantic schema validation work for NeMo plugin settings?▼

Pydantic schema validation enforces type safety by mapping environment variables like NMP_MY_PLUGIN_DEBUG to specific class fields, eliminating manual parsing errors and inconsistent environment variable handling across plugins.

What is the best way to define type-safe configuration classes for platform plugins?▼

The best way to define type-safe configuration classes is to subclass NemoConfig and specify required fields like plugin_name and plugin_description, letting the system automatically map hierarchical settings.

Does this configuration management approach support hierarchical loading from multiple sources?▼

Yes, hierarchical loading automatically aggregates and overrides settings from hardcoded class defaults, YAML files, and environment variables, providing a unified and type-safe framework for platform plugins.

Why do I need standardized configuration models for NeMo Platform plugins?▼

You need standardized configuration models to eliminate manual parsing errors and inconsistent environment variable handling, ensuring type safety and uniform access patterns for plugin-specific parameters.

Can I use environment variables to override YAML configurations in my plugin?▼

Yes, you can use environment variables to override YAML configurations, as the system automatically aggregates settings from multiple sources to enforce schema validation and type safety.

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