tmf628-performance-manager

Name: tmf628-performance-manager
Availability: InStock
Author: contextware

Analyze TMF628 performance data to rank network hotspots by severity.

Updated Aug 23, 2026

Search Tags:#performance management #tmf628 #network analytics #hotspot detection #threshold analysis #cell site optimization

Ready to run

npx skills add https://github.com/contextware/skills --skill tmf628-performance-manager

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tmf628-performance-manager
Source: https://github.com/contextware/skills/tree/main/skills/tmf628-performance-manager
Command: npx skills add https://github.com/contextware/skills --skill tmf628-performance-manager

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps network operators identify and prioritize network performance issues, enabling efficient dispatch of field teams to resolve critical hotspots.

Core Features & Use Cases

Performance Data Analysis: Analyzes time-series performance data against defined thresholds.
Hotspot Identification: Ranks network resources (e.g., cell sites) based on the severity of performance violations.
Use Case: When users report slow network speeds, this skill can pinpoint the specific cell sites experiencing the highest utilization during peak hours, allowing for targeted troubleshooting and upgrades.

Quick Start

Use the tmf628-performance-manager skill to find cell sites exceeding 80% utilization between 7 and 9 AM.

Frequently Asked Questions about tmf628-performance-manager

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

FAQPage Schema

How do I identify network hotspots and rank cell sites by performance severity?▼

To identify network hotspots, you analyze TMF628 performance data to filter time-series metrics and rank cell sites by the severity of threshold violations. This allows targeted troubleshooting of network resources experiencing critical utilization.

What's the best way to detect cell sites exceeding 80% utilization during peak hours?▼

The best way to detect cell sites exceeding 80% utilization is by applying time-series filtering to TMF628 performance data. You extract defined thresholds and rank resources to pinpoint specific sites experiencing high utilization during peak periods.

Do I need Node.js and TMF628 Performance Management MCP servers to run performance analysis?▼

Yes, you need Node.js installed for script execution and access to TMF628 Performance Management v4 MCP servers. These dependencies are required to query the performance data and execute the time-series filtering and resource ranking logic.

Can I use threshold analysis for network capacity planning and anomaly detection?▼

Yes, you can use threshold analysis for network capacity planning and anomaly detection. By extracting thresholds from TMF628 performance data and ranking resources by violation severity, you can prioritize upgrades and dispatch field teams effectively.

How does time-series filtering work when analyzing TMF628 performance management data?▼

Time-series filtering works by narrowing TMF628 performance management data to specific time windows, such as peak hours. It isolates metrics within those periods to compare against extracted thresholds and rank network resource anomalies.

Why does my network resource ranking not show the highest severity hotspots?▼

Network resource ranking may not show the highest severity hotspots if the TMF628 performance data time-series filtering is misconfigured or thresholds are incorrectly extracted. Ensure your time window accurately captures the peak violation periods.