What problem does it solve?
It streamlines authoring NeuroScript neurons by turning natural-language specifications into well-formed .ns neuron definitions, ensuring correct shape signatures, appropriate context bindings, and reuse of stdlib components so developers avoid repetitive manual DSL coding and common shape errors.
Core Features & Use Cases
- Templates & Patterns: Provides templates for primitives, composites, residuals, match-based routing, and recursive neurons to accelerate consistent neuron creation.
- Validation Workflow: Includes a validate_neuron.sh script and guidance to parse, type-check, and compile neurons before committing them.
- Best-practice Guidance: Advises on impl reference formats, match exhaustiveness, variadic shape rules, and when to reuse stdlib vs inline patterns.
- Output Destinations: Targets examples/ for demos, stdlib/ for reusable library neurons, or project src/ for package-specific integrations.
Quick Start
Describe the neuron (purpose, input/output shapes, parameters, and desired pattern) and request generation into stdlib/ or examples/ and then run the provided validation script to parse, validate, and compile the new neuron.