analyzing-economic-indicators

Structures economic indicator analysis with leading, coincident, and lagging indicator interpretation. Use when analyzing economic data, interpreting economic releases, or tracking macro indicators.

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Best use case

analyzing-economic-indicators is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Structures economic indicator analysis with leading, coincident, and lagging indicator interpretation. Use when analyzing economic data, interpreting economic releases, or tracking macro indicators.

Teams using analyzing-economic-indicators should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/analyzing-economic-indicators/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/finance/analyzing-economic-indicators/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/analyzing-economic-indicators/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How analyzing-economic-indicators Compares

Feature / Agentanalyzing-economic-indicatorsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Structures economic indicator analysis with leading, coincident, and lagging indicator interpretation. Use when analyzing economic data, interpreting economic releases, or tracking macro indicators.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Analyzing Economic Indicators

## When To Use

- Interpreting a new economic data release (jobs report, CPI, PMI, GDP, etc.)
- Building a macro outlook by synthesizing multiple indicators across categories
- Assessing where the economy sits in the business cycle
- Evaluating whether leading indicators signal a turning point or continuation
- Providing context for investment, policy, or strategic business decisions tied to macro conditions

## Inputs To Gather

- **Indicator data**: Specific release values, revision history, and consensus expectations (actual vs. estimate vs. prior)
- **Time horizon**: Whether the analysis covers a single release, a quarterly trend, or a multi-year cycle view
- **Indicator category**: Classify each indicator as leading, coincident, or lagging
- **Geographic scope**: Country or region; note that indicator definitions and release schedules vary by jurisdiction [VERIFY]
- **Context requirements**: Whether the output supports an investment thesis, policy brief, risk assessment, or general research memo

## Workflow

1. **Classify indicators by timing category**
   - **Leading** (signal future activity): Yield curve slope, building permits, ISM new orders, initial jobless claims, stock market indices, consumer expectations (Conference Board or U. Michigan), average weekly hours in manufacturing
   - **Coincident** (reflect current activity): Nonfarm payrolls, industrial production, real personal income less transfers, manufacturing and trade sales
   - **Lagging** (confirm trends already underway): Unemployment rate, CPI (year-over-year), prime rate, commercial and industrial loans outstanding, average duration of unemployment, inventory-to-sales ratio

2. **Assess each indicator's signal**
   - Compare actual release to consensus estimate and prior reading; note the magnitude and direction of surprise
   - Identify whether the reading is accelerating, decelerating, or stable relative to its own trend (3-month, 6-month, 12-month moving averages)
   - Flag any revisions to prior data — significant revisions can change the narrative
   - Note seasonal adjustment methodology and whether raw vs. adjusted figures diverge [VERIFY methodology with source agency]

3. **Cross-reference across categories**
   - Check whether leading indicators are confirming or diverging from coincident readings — divergence suggests a potential inflection point
   - Look for corroboration: a single leading indicator flashing a signal is less reliable than three or four moving in the same direction
   - Identify any contradictions (e.g., strong employment but contracting PMI) and note plausible explanations

4. **Map to the business cycle**
   - Position current conditions within the expansion–peak–contraction–trough framework
   - Reference NBER cycle dating methodology for U.S. analysis [VERIFY equivalent body for non-U.S. jurisdictions]
   - Note how far along the current phase appears based on the composite indicator picture

5. **Assess implications**
   - State the directional takeaway: growth accelerating, slowing, or turning
   - Identify policy implications (likely central bank response, fiscal trajectory)
   - Note sector or asset-class implications if relevant to the analysis scope
   - Flag key upcoming releases that could confirm or invalidate the current reading

## Output

Structure the analysis report with:

- **Headline summary**: One to two sentences stating the key macro signal from the indicators analyzed
- **Indicator table**: Each indicator listed with its category (leading/coincident/lagging), latest value, prior value, consensus, and directional signal (↑ improving, → stable, ↓ deteriorating)
- **Cross-category synthesis**: Narrative paragraph explaining what the combined indicator picture says about current and near-term economic conditions
- **Business cycle positioning**: Where the economy appears to sit in the cycle, with supporting evidence
- **Risk factors and watch items**: Contradictory signals, data quality concerns, or upcoming releases that could shift the outlook
- **Limitations**: State the vintage of data used, any indicators excluded and why, and note that economic indicators are backward-looking snapshots subject to revision

## Quality Checks

- Every indicator is correctly classified as leading, coincident, or lagging — misclassification distorts the analysis
- Actual values are compared against both prior and consensus, not just one
- Revisions to prior data are noted, not silently incorporated
- No single indicator is treated as determinative; the synthesis reflects the composite picture
- Seasonal adjustment and base effects are acknowledged where they materially affect interpretation
- Source agencies (BLS, BEA, Census, ISM, Federal Reserve, etc.) are cited for each data point [VERIFY source agencies for non-U.S. indicators]
- Any forward-looking statements are clearly labeled as projections or expectations, not facts

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