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Pipeline Expert Advisor

Analyze DSA-110 radio astronomy pipeline code for calibration, imaging, and mosaicking improvements.

Updated Aug 27, 2026
Search Tags:#code analysis#mlops#data analysis#astronomy#pipeline optimization#radio astronomy
One-click install
npx skills add https://github.com/dsa110/dsa110-contimg --skill pipeline-expert-advisor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Pipeline Expert Advisor
Source: https://github.com/dsa110/dsa110-contimg/tree/main/backend/.github/skills/pipeline-advisor
Command: npx skills add https://github.com/dsa110/dsa110-contimg --skill pipeline-expert-advisor

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill analyzes your radio astronomy pipeline's code and configuration, identifying specific, actionable improvements based on scientific goals, instrument properties, and best practices from indexed documentation.

Core Features & Use Cases

  • Science-Informed Recommendations: Tailors suggestions to DSA-110's ESE detection goals or calibrator monitoring needs.
  • Code & Documentation Analysis: Compares your current implementation against indexed CASA, WSClean, and Python library documentation.
  • Use Case: You need to improve the efficiency and accuracy of your DSA-110 continuum imaging pipeline for detecting Extreme Scattering Events (ESEs). This Skill will review your imaging parameters, suggest optimal settings like deconvolver type and auto-masking, and explain why these changes align with ESE detection priorities.

Quick Start

Run the pipeline advisor to get recommendations for the imaging component in survey mode.

Frequently Asked Questions about Pipeline Expert Advisor

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

FAQPage Schema
How do I optimize my radio astronomy pipeline for continuum imaging?▼

Optimize your radio astronomy pipeline by analyzing calibration and imaging code against indexed CASA, WSClean, and Python documentation to suggest actionable parameter improvements. This aligns your configuration with specific instrument properties and scientific goals.

What are the best WSClean parameters for detecting Extreme Scattering Events?▼

The best WSClean parameters for ESE detection involve specific deconvolver types and auto-masking settings. Analyzing your pipeline provides recommendations tailored to prioritize the accuracy and sensitivity required for ESE detection.

Does this pipeline advisor support DSA-110 calibrator monitoring code?▼

Yes, the pipeline advisor supports DSA-110 calibrator monitoring code. It analyzes your current implementation and provides science-informed recommendations tailored to calibrator monitoring needs and specific instrument properties.

How do I improve mosaicking accuracy in my radio astronomy pipeline?▼

Improve mosaicking accuracy by comparing your current pipeline implementation against best practices from indexed CASA and Python library documentation. The advisor identifies specific configuration changes to enhance scientific yield and imaging performance.

Why does my DSA-110 imaging pipeline need code analysis for survey mode?▼

DSA-110 imaging pipeline code analysis is needed to identify actionable improvements for survey mode. It evaluates your configuration against documented best practices to optimize performance, accuracy, and overall scientific yield.

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