Aggregates economic indicators into a composite score to assess macroeconomic conditions and recession risk.

Install

mkdir -p .claude/skills/macro-dashboard && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/17993" && unzip -o skill.zip -d .claude/skills/macro-dashboard && rm skill.zip

Installs to .claude/skills/macro-dashboard

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Macroeconomic indicator dashboard — GDP, CPI, unemployment, yield curve, PMI, recession probability. 4-dimension composite scoring with FRED + WorldBank data.
158 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Provide an on-demand macroeconomic snapshot.
  • Aggregate 19 indicators across four dimensions into a composite score.
  • Assess recession risk using key signals like the yield curve.
  • Analyze individual macroeconomic models.
  • Identify red flags and limitations of economic data.

How it works

The skill orchestrates the collection and aggregation of 19 macroeconomic indicators from sources like FRED and WorldBank. It then calculates a composite score and assesses recession probability.

Inputs & outputs

You give it
Country and optional individual indicator values (e.g., GDP, unemployment rate)
You get back
Macroeconomic snapshot with composite scoring and recession risk assessment

When to use macro-dashboard

  • Check recession probability
  • Analyze economic indicators
  • Aggregate financial condition data
  • Retrieve composite macro scores

About this skill

Macroeconomic Dashboard

Purpose

On-demand macroeconomic snapshot with composite scoring and recession risk assessment. Aggregates 19 indicators across growth, inflation, labor, and financial conditions into a single composite score.

How to Use

# Full pipeline
python3 scripts/orchestrator.py '{"domain":"macro-dashboard","country":"USA"}'

# Individual models
python3 macro-dashboard/scripts/indicator_hub.py --gdp 2.8 --unrate 4.1 --spread -0.25 ...
python3 macro-dashboard/scripts/yield_curve.py --dgs2 4.85 --dgs10 4.55 --dtb3 5.30

Key Signals

Yield curve: The single most reliable recession indicator. Every US recession since 1950 was preceded by 10Y-3M inversion. But inversion is a leading indicator, not a timing tool — inversion can last 12-24 months before recession.

Sahm Rule: When 3-month average unemployment rate rises 0.50pp above its 12-month low, recession is likely underway. Real-time indicator, not a forecast.

Composite approach: Single indicators mislead. Always check the composite across all four dimensions (growth, inflation, labor, financial conditions).

Red Flags

  • Seasonal adjustments matter — always use SA data
  • PMI is survey-based and noisy — confirm with hard data (IP, retail sales)
  • GDP is backward-looking (1-month lag, revised multiple times)
  • Full employment doesn't mean no recession — labor market is a lagging indicator
  • Financial conditions can turn on a dime — credit spreads lead equities

When not to use it

  • When single indicators are sufficient for analysis.
  • When seasonal adjustments are not considered.
  • When the goal is not macroeconomic analysis or recession probability assessment.

Limitations

  • The skill relies on SA (seasonally adjusted) data.
  • PMI is survey-based and noisy.
  • GDP is backward-looking and revised multiple times.

How it compares

This skill provides a composite, multi-dimensional view of macroeconomic conditions and recession probability, integrating various indicators and specific rules like the Sahm Rule, which is more complete than analyzing individual indic

Compared to similar skills

macro-dashboard side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
macro-dashboard (this skill)02moReviewIntermediate
quant-analyst1032moNo flagsAdvanced
stock-analyzer711moReviewBeginner
pair-trade-screener1122dReviewAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

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