Does this skill validate inference options?

Yes, it helps you define inference options using the correct schema, ensuring that user-configurable parameters like string selects, booleans, and numbers are correctly mapped to your Python function.

Can I configure deployment settings with this skill?

Yes, it supports configuring container settings, memory allocation, replica counts, and environment variables for both containerized and serverless deployments.

How does this skill help with Python development?

It generates boilerplate code for inference functions and event handlers, including 'magic parameter' injection for objects like documents, status reporters, and pipeline contexts.

What are sidecars in the context of Kodexa modules?

Sidecars are additional modules loaded into the system path before your module executes, providing shared dependencies like LLM utilities or LangChain integrations.

What is the difference between a Kodexa model module and a skill module?

Model modules contain executable Python code for document processing and require a defined runtime, while skill modules are collections of files like prompts, tools, and configurations that are downloaded to a environment.

Kodexa Module Authoring

Name: Kodexa Module Authoring
Author: kodexa-ai

bykodexa-ai

0•

データサイエンスとML

Simplifies the creation, configuration, and debugging of Kodexa model and skill modules using standardized YAML and Python templates.

This skill provides a specialized toolkit for developers working with the Kodexa platform to author metadata for both model-type modules (Python-based AI/ML processing) and skill-type modules (file-based resource packs). It automates the generation of complex YAML configuration files and Python entry point skeletons, ensuring best practices for runtime references, sidecars, inference options, and deployment settings. By providing an interactive wizard and preventing common architectural mistakes, it significantly accelerates the development lifecycle of custom AI document processing units.

主な機能

01Interactive wizard for defining runtimes, sidecars, and deployment specs

02Automated YAML metadata generation for model and skill modules

03Configuration of user-defined inference options with schema validation

040 GitHub stars

05Python entry point skeleton creation for inference and event handling

06Management of 'magic parameter' injection for Kodexa document processing

ユースケース

01Developing custom Python-based AI document processors for the Kodexa platform

02Configuring complex runtime environments with sidecars for specialized ML tasks

03Packaging collections of LLM prompts and configuration files as portable skill modules

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kodexa-ai/kodexa-metadata-skills module

For use in Claude.ai and ChatGPT

主な機能

01Interactive wizard for defining runtimes, sidecars, and deployment specs

02Automated YAML metadata generation for model and skill modules

03Configuration of user-defined inference options with schema validation

040 GitHub stars

05Python entry point skeleton creation for inference and event handling

06Management of 'magic parameter' injection for Kodexa document processing

ユースケース

01Developing custom Python-based AI document processors for the Kodexa platform

02Configuring complex runtime environments with sidecars for specialized ML tasks

03Packaging collections of LLM prompts and configuration files as portable skill modules