skills.rest
arm2arm
arm2armCOMMUNITY
Explore all skills by this author →
Website𝕏@arm2armtweetGitHub

reana-shboost24

Orchestrate SHboost24 plotting and sampling workflows on REANA with cached parquet inputs.

4|1|Updated Apr 11, 2026
Search Tags:#workflow#astronomy#data-analysis#plotting#parquet#reana#shboost24
One-click install
npx skills add https://github.com/arm2arm/AstroAgentAssistant --skill reana-shboost24
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: reana-shboost24
Source: https://github.com/arm2arm/AstroAgentAssistant/tree/main/workflows/reana-shboost24
Command: npx skills add https://github.com/arm2arm/AstroAgentAssistant --skill reana-shboost24

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The SHBoost24 workflow orchestration on REANA enables researchers to plot and sample SHboost24 results using cached parquet inputs, with explicit script packaging to ensure reproducible analyses.

Core Features & Use Cases

  • SHboost24 plotting and data-reduction workflows on REANA.
  • Explicit script packaging for reproducible pipelines.
  • Suitable for astronomy data analysis requiring parquet caching and reproducible environments.

Quick Start

Run the REANA SHboost24 plotting workflow using the shboost24_plot.py script with reana-client in a new workspace.

Frequently Asked Questions about reana-shboost24

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

FAQPage Schema
How do I run astronomy data plotting and sampling workflows on REANA?▼

You can run astronomy data plotting and sampling on REANA by orchestrating workflows with explicitly packaged scripts. This approach uses cached parquet inputs to ensure reproducible data reduction and visualization across workspaces.

Does REANA support parquet caching for reproducible data analysis pipelines?▼

Yes, REANA supports parquet caching for reproducible data analysis pipelines. This Skill orchestrates workflows using cached parquet inputs, enforcing explicit script packaging to maintain consistent research environments.

What is the best way to package scripts for REANA workflow specifications?▼

The best way to package scripts for REANA workflow specifications is through explicit local script development. This enforces clean integration with reana-client specifications to ensure your plotting and sampling workflows remain reproducible.

Can I use reana-client to orchestrate data reduction across multiple datasets?▼

Yes, you can use reana-client to orchestrate data reduction across multiple datasets. The workflow applies reproducible data reduction and visualization across REANA workspaces using cached parquet inputs.

Why does my REANA plotting workflow require explicit script packaging?▼

Your REANA plotting workflow requires explicit script packaging to guarantee reproducible analyses. Enforcing local script development and clean integration prevents environmental inconsistencies during data reduction and visualization.

Related Skills

Explore More Data & Analytics Skills→
arm2armarm2arm
4

reana-cmd-plot-workflow

Automate REANA workflow creation and hex-bin plotting for Parquet datasets.

Community
Advanced
nahisahonahisaho
3

scientific-advanced-visualization

Build interactive 3D Plotly plots and Altair visuals from scientific data.

Community
Advanced
arm2armarm2arm
4

reana-client-docker

Ping a REANA server and list workflows as JSON via Docker.

Community
Intermediate
arm2armarm2arm
4

reana-serial-python

Automate REANA serial workflow execution for Python data analysis with Parquet and PNG outputs.

Community
Intermediate