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macro-rates-monitor

Analyze and visualize macroeconomic and interest rate indicators with Python.

Updated May 9, 2026
Search Tags:#financial analysis#interest rates#economic indicators#macroeconomics#yield curves
One-click install
npx skills add https://github.com/mahyarmalekii/MarketIntel --skill macro-rates-monitor-mahyarmalekii
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: macro-rates-monitor
Source: https://github.com/mahyarmalekii/MarketIntel/tree/main/backend/financial-services/plugins/partner-built/lseg/skills/macro-rates-monitor
Command: npx skills add https://github.com/mahyarmalekii/MarketIntel --skill macro-rates-monitor-mahyarmalekii

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the complex task of monitoring and analyzing macroeconomic conditions and interest rates, offering a comprehensive dashboard to track and interpret various economic indicators.

Core Features & Use Cases

  • Macroeconomic Dashboard: Aggregate and visualize key macroeconomic indicators.
  • Interest Rate Analysis: Evaluate yield curves, inflation breakevens, and swap rates.
  • Use Case: Use the Skill to create dashboards that inform decision-making on economic cycles, policy outlooks, and financial conditions.

Quick Start

Monitor macroeconomic conditions for the target country by executing the macro-rates-monitor skill.

Frequently Asked Questions about macro-rates-monitor

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

FAQPage Schema
How do I monitor macroeconomic indicators and interest rates for economic cycle analysis?▼

You can monitor macroeconomic indicators and interest rates by using a skill that aggregates and visualizes data from tools like qa_macroeconomic, interest_rate_curve, and inflation_curve to build comprehensive dashboards. It requires Python for data processing and visualization.

What is the best way to analyze yield curves and inflation breakevens?▼

Analyzing yield curves and inflation breakevens is done by integrating interest_rate_curve and inflation_curve data within a Python environment to evaluate financial conditions and policy outlooks. This approach provides visual dashboards for tracking economic indicators.

Can I use Python to visualize interest rate swaps and historical pricing summaries?▼

Yes, you can use Python to visualize interest rate swaps and historical pricing summaries by processing data from ir_swap and tscc_historical_pricing_summaries tools. The skill generates visual representations to help strategists track financial conditions.

Do I need Python to run macroeconomic dashboard scripts for financial monitoring?▼

Yes, Python is required to run the scripts for data processing and visualization of macroeconomic dashboards. It processes inputs from various economic indicator tools to generate visual outputs for strategists and analysts.

Does this approach integrate multiple economic indicator tools into a single dashboard?▼

Integrating multiple economic indicator tools into a single dashboard is the core function, combining qa_macroeconomic, interest_rate_curve, inflation_curve, and ir_swap data. This provides a comprehensive view of financial conditions and economic cycles.

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