ns-stdlib

Catalogs NeuroScript primitives and composite neurons with signatures, shapes, and parameters.

Updated Nov 25, 2025
One-click install
npx skills add https://github.com/severeon/neuroscript-rs --skill ns-stdlib
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ns-stdlib
Source: https://github.com/severeon/neuroscript-rs/tree/main/.claude/skills/ns-stdlib
Command: npx skills add https://github.com/severeon/neuroscript-rs --skill ns-stdlib

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

NeuroScript developers need a reliable, up-to-date catalog of available primitives and composite neurons, including their signatures, shapes, parameters, and usage context.

Core Features & Use Cases

  • Comprehensive listing of primitives and composites with categories and examples.
  • Quick lookup of signatures, shapes, and parameters to speed integration into neuroscripts.
  • Use cases include selecting FFN, TransformerBlock, or stdlib neurons for building complex graphs.

Quick Start

Browse available stdlib neurons and view their signatures and categories.

Frequently Asked Questions about ns-stdlib

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

FAQPage Schema
How do I look up NeuroScript standard library signatures and parameters?

You can look up NeuroScript standard library signatures by browsing a catalog of primitives and composite neurons, which provides their definitions, shapes, and usage contexts.

What is the difference between primitives and composite neurons in NeuroScript?

Primitives are foundational standard library neurons, whereas composite neurons combine multiple components to build more complex computational graphs within your neuroscripts.

How do I find the correct parameters for FFN and TransformerBlock neurons?

To find correct parameters for FFN and TransformerBlock neurons, use the standard library catalog to retrieve their specific signatures, shapes, and integration examples for graph building.

Can I use standard library neurons when debugging a neuroscript?

Yes, you can use standard library neurons when debugging a neuroscript to quickly verify available components, check their signatures, and ensure correct parameter usage during integration.

What is the best way to discover available neurons for building complex graphs?

The best way to discover available neurons for building complex graphs is to browse a comprehensive listing of primitives and composites, filtering by categories and examples to select the right components.

When do I need to reference the NeuroScript stdlib catalog?

You need to reference the NeuroScript stdlib catalog when building or debugging neuroscripts to quickly look up available neuron signatures, shapes, parameters, and usage contexts for integration.