data-analysis

Analyze metro monitoring data for control network adjustment and deformation trends.

2|Updated Jun 13, 2026
One-click install
npx skills add https://github.com/wangjiawei508/WorkWise --skill data-analysis-wangjiawei508
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-analysis
Source: https://github.com/wangjiawei508/WorkWise/tree/main/src/asset/agent-packs/metro-monitoring-agent-pack/assets/skill/data-analysis
Command: npx skills add https://github.com/wangjiawei508/WorkWise --skill data-analysis-wangjiawei508

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the complex task of metro monitoring data analysis, providing a structured approach to control network adjustment, deformation trend analysis, and data anomaly detection.

Core Features & Use Cases

  • Control Network Adjustment: Offers step-by-step guidance for leveling network adjustment calculations.
  • Deformation Trend Analysis: Assists in analyzing long-term deformation of metro structures.
  • Data Anomaly Detection: Helps in identifying and handling data anomalies in monitoring.
  • Use Case: For a metro project, this Skill can be used to analyze settlement data over time, calculate deformation rates, and make convergence judgments.

Quick Start

Load the data-analysis skill and perform a deformation trend analysis on the provided monitoring data.

Frequently Asked Questions about data-analysis

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

FAQPage Schema
How do I perform control network adjustment for metro monitoring data?

Control network adjustment for metro monitoring data is achieved through guided leveling network adjustment calculations. This Skill provides step-by-step computation to process leveling measurements and derive adjusted coordinates for your control points.

What is the best way to analyze long-term deformation trends in metro structures?

Analyzing long-term deformation in metro structures requires calculating settlement data and deformation rates over time. This Skill assists in interpreting monitoring data to evaluate structural trends and make convergence judgments.

How does data anomaly detection work for metro monitoring datasets?

Data anomaly detection in metro monitoring works by identifying irregularities within your settlement and deformation datasets. This Skill helps you isolate anomalous data points to ensure the reliability of your control network adjustment results.

Can I use this for metro settlement data analysis and convergence judgments?

Yes, this Skill is specifically designed for metro settlement data analysis and convergence judgments. It handles the complex calculations required to interpret monitoring data and determine structural convergence for engineering projects.

Do I need any specific dependencies to run metro deformation analysis?

No specific dependencies are required to run metro deformation analysis with this Skill. It operates independently using built-in scripts and references to perform control network adjustment and data anomaly detection tasks.