skills.rest
datamaker-kr
datamaker-krOFFICIAL
Explore all skills by this author →
WebsiteGitHub

synapse-specialized-actions

Provides specialized Python base classes for machine learning workflows in the Synapse SDK.

1|1|Updated Jan 14, 2026
Search Tags:#deployment#training#data export#inference#synapse sdk#ml actions
One-click install
npx skills add https://github.com/datamaker-kr/synapse-claude-marketplace --skill synapse-specialized-actions
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: synapse-specialized-actions
Source: https://github.com/datamaker-kr/synapse-claude-marketplace/tree/main/plugins/synapse-plugin-helper/skills/specialized-actions
Command: npx skills add https://github.com/datamaker-kr/synapse-claude-marketplace --skill synapse-specialized-actions

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the development of complex machine learning workflows by providing pre-built, specialized action classes for common tasks like training, exporting, and inference.

Core Features & Use Cases

  • Specialized Base Classes: Offers BaseTrainAction, BaseExportAction, BaseUploadAction, BaseInferenceAction, BaseDeploymentAction, and AddTaskDataAction for specific ML lifecycle stages.
  • Workflow Simplification: Reduces boilerplate code by providing default implementations and helper methods for common operations.
  • Use Case: When building a model training pipeline, you can inherit from BaseTrainAction to quickly implement data loading, training loops, and model uploading with minimal custom code.

Quick Start

Use the specialized actions to build a custom training action by inheriting from BaseTrainAction.

Frequently Asked Questions about synapse-specialized-actions

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

FAQPage Schema
How do I build a model training pipeline with the Synapse SDK?▼

To build a model training pipeline with the Synapse SDK, inherit from the BaseTrainAction class to quickly implement data loading, training loops, and model uploading with minimal custom code.

What are the available base classes for ML workflows in the Synapse SDK?▼

The Synapse SDK provides BaseTrainAction, BaseExportAction, BaseUploadAction, BaseInferenceAction, BaseDeploymentAction, and AddTaskDataAction as specialized base classes for specific ML lifecycle stages.

Does the Synapse SDK support modular inference and deployment actions?▼

Yes, the Synapse SDK supports modular inference and deployment actions by leveraging inheritance and step-based execution to construct robust pipelines via BaseInferenceAction and BaseDeploymentAction.

Can I reduce boilerplate code when exporting data for ML tasks?▼

You can reduce boilerplate code when exporting data by inheriting from the BaseExportAction class, which provides default implementations and helper methods for common data export operations.

How do pre-annotation tasks work within the Synapse SDK?▼

Pre-annotation tasks within the Synapse SDK work by utilizing the AddTaskDataAction class, which facilitates the development of specialized actions to prepare and inject data into the annotation workflow.

Related Skills

Explore More Software Engineering Skills→
datamaker-krdatamaker-kr
1

synapse-action-development

Develop Synapse plugin actions with Pydantic validation and semantic types.

Official
Intermediate
Nir-BhayNir-Bhay
19

ml-api-endpoint

Deploy machine learning models as FastAPI inference endpoints with Dockerfile support.

Community
Advanced
datamaker-krdatamaker-kr
1

synapse-result-schemas

Provide Pydantic-based result schema classes for Synapse plugin actions.

Official
Intermediate
nelohenriqnelohenriq
1

modal-serverless-gpu

Deploy ML models as scalable APIs with serverless GPU compute.

Community
Advanced