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pyats-parallel-ops

Execute concurrent network device operations across a fleet using pyATS and pCall.

627|175|Updated Feb 19, 2026
Search Tags:#troubleshooting#health checks#network automation#fleet management#pyats#parallel operations
One-click install
npx skills add https://github.com/automateyournetwork/netclaw --skill pyats-parallel-ops
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pyats-parallel-ops
Source: https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-parallel-ops
Command: npx skills add https://github.com/automateyournetwork/netclaw --skill pyats-parallel-ops

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the inefficiency of performing repetitive network operations on a large number of devices sequentially, enabling significant time savings and faster troubleshooting.

Core Features & Use Cases

  • Fleet-wide Health Checks: Concurrently gather health metrics (CPU, memory, interfaces) from all devices.
  • Mass Configuration Audits: Simultaneously collect running configurations for compliance checks.
  • Network-wide Routing Snapshots: Capture routing tables from the entire network in parallel for baseline analysis.
  • Failure Isolation: Ensures that an issue on one device does not halt operations on others.
  • Severity-Sorted Reporting: Aggregates results and prioritizes findings from critical to healthy.

Quick Start

Use the pyats-parallel-ops skill to run a fleet-wide health check on all devices in the testbed.

Frequently Asked Questions about pyats-parallel-ops

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

FAQPage Schema
How do I run network health checks concurrently across an entire device fleet?▼

You can run concurrent network health checks across an entire device fleet by leveraging parallel operations to simultaneously gather CPU, memory, and interface metrics, drastically reducing troubleshooting time compared to sequential polling.

What is the best way to capture routing tables from all network devices simultaneously?▼

Capturing routing tables simultaneously is achieved through parallel network operations, which dispatches routing table snapshot requests across the entire fleet at once for rapid baseline analysis and faster troubleshooting.

How do you isolate failures when executing mass configuration audits on multiple devices?▼

Failure isolation during mass configuration audits ensures that an error or connectivity issue on one device does not halt the concurrent operations on the remaining devices in the network fleet.

Do I need python3 to perform parallel network automation tasks with pyATS?▼

Yes, python3 is required as a core dependency to run these parallel network automation tasks, along with pyATS and MCP scripts to handle device interaction and concurrent dispatching.

How are parallel device operation results aggregated for troubleshooting?▼

Parallel device operation results are aggregated using severity-sorted reporting, which prioritizes findings from critical issues down to healthy devices to streamline network troubleshooting workflows.

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