reana-serial-python-analysis-template

Run REANA serial workflows executing Python analysis scripts on remote data.

4|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/arm2arm/AstroAgentAssistant --skill reana-serial-python-analysis-template
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reana-serial-python-analysis-template
Source: https://github.com/arm2arm/AstroAgentAssistant/tree/main/reana-workflows/reana-serial-python-analysis-template
Command: npx skills add https://github.com/arm2arm/AstroAgentAssistant --skill reana-serial-python-analysis-template

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

REANA provides end-to-end reproducible workflows for data analysis, enabling researchers to run Python analyses on remote data sources with consistent caching and output generation.

Core Features & Use Cases

  • Serial REANA workflow templates for Python analysis
  • Remote data reads (e.g., from S3) with local Parquet caching
  • PNG outputs and JSON summaries to capture results

Quick Start

Run the REANA serial workflow example to execute analysis.py on remote data and produce plot outputs.

Frequently Asked Questions about reana-serial-python-analysis-template

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

FAQPage Schema
How do I run a reproducible Python analysis workflow on remote S3 data?

A REANA serial workflow template enables repeatable Python analysis by executing a script on remote data sources like S3 and caching results locally as Parquet. It enforces a reusable project layout and serial workflow specification executable with reana-client run.

Can I cache remote data analysis outputs locally as Parquet in a REANA workflow?

Yes, the REANA serial workflow supports reading from cloud data sources like S3 and caches analysis results locally as Parquet files. This ensures repeatable data analysis runs by enforcing a reusable project layout with local caching.

What is the best way to generate PNG and JSON summaries from a serial data analysis workflow?

A REANA serial workflow template provides the best way to generate PNG and JSON summaries by running a Python analysis script on remote data. It captures results through generated PNG plot outputs and JSON summaries while caching data locally as Parquet.

Does the REANA serial workflow template require specific dependencies to run Python analysis scripts?

The REANA serial workflow template requires no specified dependencies to run Python analysis scripts. It enforces a project layout with a reusable Python script template and serial workflow specification executable via reana-client run.

How do I structure a REANA serial workflow for repeatable Python data analysis?

Structure a REANA serial workflow for repeatable Python data analysis by using the enforced project layout with a reusable Python script template and serial workflow specification. Only the script, input selection, and output names change across common analysis patterns.