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jarmak-personal
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dispatch-wiring

Wire new spatial operations into vibeSpatial's dispatch system with type coercion.

Updated Mar 10, 2026
Search Tags:#API#dispatch#Python#geometry#fallback#dev-operations
One-click install
npx skills add https://github.com/jarmak-personal/vibeSpatial --skill dispatch-wiring
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatch-wiring
Source: https://github.com/jarmak-personal/vibeSpatial/tree/main/.agents/skills/dispatch-wiring
Command: npx skills add https://github.com/jarmak-personal/vibeSpatial --skill dispatch-wiring

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides guidance and tools for connecting new operations into the vibeSpatial dispatch framework within Python, facilitating API extension and method wiring.

Core Features & Use Cases

  • Adding API Methods: Simplifies the process of wiring new API methods into the existing dispatch stack.
  • Connecting GeometryArrays: Assists in associating GeometryArray, OwnedGeometryArray, and DeviceGeometryArray surfaces with dispatch routines.
  • Extending Functionality: Supports writing or updating dispatch helpers, managing CPU fallback observability, and coercing input types for dispatch compatibility.
  • Use Case: A developer wants to implement a new spatial operation, wiring it into vibeSpatial with proper fallback and observability, by following the step-by-step guidelines provided.

Quick Start

Use the dispatch wiring skill to add a new spatial operation by connecting your custom geometries and dispatch helpers following the specified structures.

Frequently Asked Questions about dispatch-wiring

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

FAQPage Schema
How do I wire a new spatial operation into vibeSpatial's Python dispatch system?▼

To wire a new spatial operation into vibeSpatial's dispatch system, connect your custom geometry arrays and dispatch helpers by following the specified structural guidelines for API extension and method wiring.

What is the best way to handle CPU fallback observability when extending a Python spatial API?▼

Handling CPU fallback observability when extending a Python spatial API involves managing dispatch helpers that monitor and report fallback states, ensuring seamless GPU-CPU interoperability during spatial operations.

Can I associate GeometryArray and DeviceGeometryArray surfaces with custom dispatch routines?▼

Yes, you can associate GeometryArray, OwnedGeometryArray, and DeviceGeometryArray surfaces with custom dispatch routines to connect new geometries into the vibeSpatial framework.

How do I coerce input types for dispatch compatibility in a Python geometry framework?▼

Coercing input types for dispatch compatibility involves transforming input data structures to match the expected types required by the vibeSpatial dispatch system, ensuring seamless operation execution.

Does vibeSpatial support GPU-CPU interoperability for newly added spatial operations?▼

Yes, vibeSpatial supports GPU-CPU interoperability for newly added spatial operations by providing fallback handling and type coercion mechanisms within its dispatch system to ensure seamless execution.

Why do I need to connect OwnedGeometryArray surfaces when adding API methods to a dispatch stack?▼

Connecting OwnedGeometryArray surfaces when adding API methods ensures that memory ownership and device allocation are properly managed within the dispatch stack, preventing runtime errors during spatial operations.

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