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dsa110-python-development

Develop DSA-110 continuum imaging pipelines with Python 3.11+, Dagster, and FastAPI.

Updated Aug 27, 2026
Search Tags:#best practices#fastapi#python#graphql#pipeline development#dagster#casa integration
One-click install
npx skills add https://github.com/dsa110/dsa110-contimg --skill dsa110-python-development
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dsa110-python-development
Source: https://github.com/dsa110/dsa110-contimg/tree/main/backend/.github/skills
Command: npx skills add https://github.com/dsa110/dsa110-contimg --skill dsa110-python-development

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides best practices and patterns for developing the DSA-110 continuum imaging pipeline using modern Python, Dagster, and scientific computing tools.

Core Features & Use Cases

  • Standardized Development: Follows Python 3.11+ conventions, Pydantic configuration, and Dagster workflows.
  • CASA Integration: Safely integrates CASA tasks with process isolation.
  • Use Case: Develop new pipeline stages, optimize existing workflows, or integrate external tools following established DSA-110 patterns.

Quick Start

Use the dsa110-python-development skill to understand how to configure the pipeline using Pydantic settings.

Frequently Asked Questions about dsa110-python-development

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

FAQPage Schema
How do I integrate CASA tasks into a Python pipeline safely?▼

Integrate CASA tasks into a Python pipeline using process isolation to ensure safe execution. This Skill provides patterns for isolating CASA processes within Dagster workflows to maintain pipeline stability.

What is the best way to configure a Dagster pipeline using Python?▼

The best way to configure a Dagster pipeline is using Pydantic settings in Python 3.11+. This approach enforces standardized configuration management and strict typing for maintainable pipeline workflows.

How do I build asynchronous APIs for a scientific computing pipeline?▼

Build asynchronous APIs for a scientific computing pipeline using FastAPI and GraphQL. This Skill details asynchronous programming patterns to efficiently handle pipeline requests and data routing.

Does Dagster work with FastAPI and GraphQL for pipeline development?▼

Yes, Dagster works with FastAPI and GraphQL for pipeline development. You can orchestrate pipeline assets with Dagster while exposing asynchronous endpoints and queries through FastAPI and GraphQL.

How do I structure a Python continuum imaging pipeline project?▼

Structure a Python continuum imaging pipeline by adhering to Python 3.11+ project conventions and Dagster asset development standards. This ensures your codebase remains maintainable and efficiently organized.

Why should I use process isolation when running CASA tasks?▼

Process isolation is necessary when running CASA tasks to prevent environment conflicts and crashes. This Skill outlines established patterns for safely wrapping CASA executions within your Dagster workflows.

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