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.