nanobrain-from-config

Enforce configuration-driven from_config instantiation for nanobrain framework components.

3|Updated Apr 27, 2026

Search Tags:#architecture #pydantic #validation #configuration #framework #nanobrain

Ready to run

npx skills add https://github.com/AlexandrNP/apecx-mcp-integration --skill nanobrain-from-config

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Please help me install this Agent Skill.
Skill: nanobrain-from-config
Source: https://github.com/AlexandrNP/apecx-mcp-integration/tree/main/.claude/skills/nanobrain-from-config
Command: npx skills add https://github.com/AlexandrNP/apecx-mcp-integration --skill nanobrain-from-config

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill prevents runtime errors and architectural drift by enforcing the mandatory from_config pattern for all nanobrain components, ensuring that objects are initialized through validated configuration files rather than direct constructors.

Core Features & Use Cases

Standardized Initialization: Validates that all components inherit from FromConfigBase and utilize the from_config factory method.
Schema Validation: Automatically checks configuration files against required Pydantic schemas to prevent runtime failures.
Use Case: When developing a new workflow step, use this skill to ensure your component correctly implements the _get_config_class method and adheres to the framework's strict path resolution and dependency injection rules.

Quick Start

Use the nanobrain-from-config skill to validate the configuration structure of your new component class against the framework requirements.

Frequently Asked Questions about nanobrain-from-config

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

FAQPage Schema

How do I validate a Pydantic configuration schema for component initialization?▼

You validate a Pydantic configuration schema by enforcing the from_config factory method, which automatically checks configuration files against required schemas to prevent runtime failures during component initialization.

What is configuration-driven instantiation and when do I need it for software architecture?▼

Configuration-driven instantiation initializes objects through validated configuration files rather than direct constructors. You need it to prevent runtime errors and architectural drift when developing framework components.

How do I migrate direct class constructors to validated from_config factory methods?▼

To migrate from direct constructors to from_config factory methods, ensure your components inherit from FromConfigBase and correctly implement the _get_config_class method to adhere to dependency resolution protocols.

Does the nanobrain framework require schema validation for all new workflow components?▼

Yes, the nanobrain framework requires schema validation for all components. You must utilize the from_config factory method and implement path resolution and dependency injection rules defined in the framework core.

Why does my configuration validation fail when using direct class constructors?▼

Configuration validation fails because direct constructors bypass strict schema validation. You must transition to the from_config factory method to properly resolve dependencies and enforce architectural consistency.

Can I use direct class constructors instead of from_config methods for framework modules?▼

No, you cannot use direct class constructors. The framework mandates the from_config pattern for all modules to ensure strict adherence to schema validation, dependency resolution, and path resolution protocols.