macro-rates-monitor

Aggregate macro indicators, yield curves, and swap rates into a dashboard.

3|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/matparang/AutoJaga --skill macro-rates-monitor-matparang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: macro-rates-monitor
Source: https://github.com/matparang/AutoJaga/tree/main/legacy/jagabot/skills/lseg-macro-rates-monitor
Command: npx skills add https://github.com/matparang/AutoJaga --skill macro-rates-monitor-matparang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Translate multiple macro indicators into a single, clear narrative dashboard that informs cycle positioning, policy outlook, and financial conditions.

Core Features & Use Cases

  • Aggregate macro indicators (GDP, CPI, unemployment, PMI) into a unified dashboard.
  • Yield and swap analysis: build government and swap curves, estimate real vs nominal rates, and assess curve slopes.
  • Historical context & cross-country views: compare regimes and policy implications across countries and time.
  • Use Case: finance teams preparing for central bank meetings can quickly summarize macro trends and financial conditions.

Quick Start

Query the MCP toolkit to build a current macro dashboard for your country and period.

Frequently Asked Questions about macro-rates-monitor

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

FAQPage Schema
How do I aggregate macroeconomic indicators and yield curves into a single dashboard?

Aggregate macroeconomic indicators and yield curves by querying MCP tools to pull GDP, CPI, unemployment, PMI, and swap rate data, then synthesizing outputs into a cohesive dashboard highlighting cycle position and financial conditions.

What is the best way to analyze yield curves and swap rates across different countries?

Analyze yield curves and swap rates across countries by pulling government and swap curve data via MCP tools, estimating real versus nominal rates, and assessing curve slopes to compare policy regimes and implications.

Can I generate a macro narrative for central bank meeting preparation using historical economic data?

Generate a macro narrative for central bank meetings by querying historical and real-time macroeconomic data, then synthesizing trends in inflation, unemployment, and financial conditions into a clear policy outlook summary.

Do I need specific MCP tools to build a macroeconomic dashboard with this approach?

Specific MCP tools including qa_macroeconomic, interest_rate_curve, inflation_curve, ir_swap, and tscc_historical_pricing_summaries are required to pull the underlying data for building the macroeconomic dashboard and narrative.

How does synthesizing macro indicators into a narrative help with economic cycle positioning?

Synthesizing macro indicators into a narrative helps economic cycle positioning by translating multiple data points like PMI and CPI into a single, clear assessment of current cycle stage, policy expectations, and overall financial conditions.

What are the limitations of using aggregated macro data for cross-country policy regime comparisons?

Limitations of using aggregated macro data for cross-country comparisons include reliance on the availability and accuracy of historical pricing summaries and macroeconomic inputs from MCP tools, which may constrain regime analysis depth.