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kiso

Generate Kiso experiment configuration files for reproducible scientific workflows on cloud and edge testbeds.

Updated Feb 13, 2026
Search Tags:#automation#infrastructure#scientific computing#pegasus#kiso#htcondor
One-click install
npx skills add https://github.com/pegasus-isi/claude-plugin-marketplace --skill kiso
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kiso
Source: https://github.com/pegasus-isi/claude-plugin-marketplace/tree/main/plugins/pegasus-ai/skills/kiso
Command: npx skills add https://github.com/pegasus-isi/claude-plugin-marketplace --skill kiso

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill eliminates the complexity of setting up reproducible scientific environments by automating the provisioning of infrastructure, software installation, and workflow execution across cloud and edge testbeds.

Core Features & Use Cases

  • Infrastructure as Code: Define multi-site experiments using a unified YAML schema for Vagrant, Chameleon, and FABRIC.
  • Workflow Orchestration: Seamlessly integrate Pegasus WMS workflows with HTCondor clusters and containerized environments.
  • Use Case: A researcher needs to run a bioinformatics pipeline on a hybrid setup of local VMs and remote cloud nodes; this skill generates the configuration to provision the nodes, install dependencies, and execute the workflow reliably.

Quick Start

Ask the assistant to generate a new experiment configuration file for your specific infrastructure and workflow requirements.

Frequently Asked Questions about kiso

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

FAQPage Schema
How do I configure reproducible scientific experiments across multi-site cloud and edge testbeds?▼

To configure reproducible scientific experiments across multi-site testbeds, generate a unified YAML configuration file defining site definitions, software requirements, and execution targets for Vagrant, Chameleon, and FABRIC deployments. The configuration validates consistency between infrastructure provisioning and workflow execution.

Can I integrate Pegasus WMS workflows with HTCondor clusters on hybrid cloud infrastructure?▼

Yes, you can integrate Pegasus WMS workflows with HTCondor clusters on hybrid cloud infrastructure by generating experiment configuration files that define containerized environments and multi-site deployments. The setup provisions nodes and installs dependencies to execute scientific workflows reliably across local VMs and remote cloud nodes.

What is the best way to automate infrastructure provisioning for scientific computing on Chameleon and FABRIC?▼

The best way to automate infrastructure provisioning for scientific computing on Chameleon and FABRIC is using a unified YAML schema that defines multi-site experiments. This approach automates node provisioning, software installation, and workflow execution, eliminating the complexity of manual environment setup across cloud and edge testbeds.

Does this approach support validating configuration consistency between site definitions and workflow execution targets?▼

Yes, validating configuration consistency between site definitions, software requirements, and experiment execution targets is a core function. The generated experiment configuration files ensure that infrastructure setups across Vagrant, Chameleon, and FABRIC align properly with Pegasus WMS and HTCondor cluster execution requirements.

How do I set up a bioinformatics pipeline on a hybrid setup of local VMs and remote cloud nodes?▼

To set up a bioinformatics pipeline on hybrid local VM and remote cloud node setups, generate an experiment configuration file specifying your infrastructure and workflow requirements. This configuration provisions the nodes, installs dependencies, and executes the Pegasus WMS workflow reliably across the defined testbeds.

When do I need a unified YAML schema for provisioning reproducible scientific environments?▼

You need a unified YAML schema for provisioning reproducible scientific environments when automating complex infrastructure setups involving Pegasus WMS, HTCondor clusters, and multi-site deployments across Vagrant, Chameleon, and FABRIC. It eliminates manual setup complexity by defining infrastructure as code for consistent workflow execution.

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