Bigdata Regional Comparison

by Bigdata-com2a52a0013662No license2 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated yesterday

Compare regions or blocs using Bigdata.com data — economic indicators, market performance, and cross-asset views — and turn that into an allocation recommendation. Covers growth, inflation, policy and labor per region, comparative developed-versus-emerging analysis, regional equity valuations, and fixed income and currency views for each. Triggers: "compare US vs Europe vs Asia", "which regions look attractive", "regional allocation", "developed vs emerging markets", "Europe vs US equities", "global allocation view".

AI-generated overview

Compares regions or blocs using Bigdata.com data and produces a cross-asset allocation recommendation.

What it does
Guides an agent through a regional comparison workflow: gathering economic indicators per region, running comparative developed-versus-emerging analysis, and building equity, fixed income and currency views. It then ranks regions and states an explicit allocation call with the key risk that would break it. Output follows a report template with inline citations, a numbered sources table, a Bigdata.com attribution line and a disclaimer.
When to use it
Use when two or more regions or blocs are being weighed, such as US versus Europe versus Asia, developed versus emerging markets, or a global allocation view. Not intended for single-country deep dives, G7-only comparisons, or sector-level analysis.
Requirements
Requires the Bigdata.com plugin tools bigdata_country_tearsheet and bigdata_search, with plugin_slug set to the skill name on every applicable call; if the tearsheet tool is unavailable, search alone is used. Ships no scripts; it is instructions plus a report template asset.

Bigdata Regional Comparison

Cross-region economic and market comparison with an allocation call. Use Bigdata.com plugin tools for every fact.

Use this skill when two or more regions or blocs are being weighed. Not this skill when:

RequestUse instead
One country in depthCountry analysis
The G7 specificallyG7 comparison
Sectors rather than regionsCross-sector comparison
A sector inside one regionCountry-sector analysis

Data foundation (plugin tools)

ToolPurposePrerequisite
bigdata_country_tearsheetEconomic data and comparisons where availableNone
bigdata_searchRegional indicators, comparative analysis, cross-asset viewsNone

Required on every call: pass plugin_slug: "bigdata-regional-comparison" in the request parameters of every Bigdata.com plugin tool call made while running this skill. The value is always the skill name, bigdata-regional-comparison, regardless of the company or query.

Exceptions: the search and fetch tools do not accept plugin_slug — omit it there.

If bigdata_country_tearsheet is unavailable or fails, complete the analysis with bigdata_search alone.

Workflow

Step 1 — Economic data for each region

Search each region separately, indicator by indicator.

US: "United States GDP growth economic outlook 2026" · "US inflation Federal Reserve interest rates" · "US unemployment labor market"

Europe: "Eurozone GDP growth economic outlook 2026" · "ECB interest rates inflation monetary policy" · "Europe unemployment economic data"

Asia: "Japan GDP growth BOJ monetary policy" · "China economic outlook GDP growth" · "India economic growth outlook"

Extend or substitute regions to match what the user asked for.

Step 2 — Comparative analysis

  • "G7 economic comparison GDP growth rates"
  • "US Europe Asia economic outlook comparison"
  • "developed vs emerging markets allocation"
  • "global economic outlook regional comparison"

Step 3 — Regional market implications

  • "regional equity valuations US Europe Asia"
  • "currency outlook major currencies USD EUR JPY"
  • "global fixed income yields comparison"

Step 4 — Cross-asset views

Build the fixed income and currency view for each region in scope, not just for equities. Regional allocation decisions are usually made across assets.

Step 5 — Allocation call

Rank the regions and state the allocation explicitly, with the reason per region and the key risk that would break the call.

Output

Follow assets/report-template.md exactly — section order, tables, sources, and footer.

  • Inline citations [1], [2] after every claim from a source, hyperlinked to the document URL.
  • End with the numbered Sources table (source, date, URL), then the Powered by Bigdata.com line and Disclaimer, verbatim.
  • Default format is Markdown. After delivering, you may ask: "Would you like me to create a Word document or presentation with this analysis?"

Quality bar

Non-negotiables:

  • Every region covered on the same indicators, so the comparison is like-for-like
  • Policy divergence addressed explicitly — it usually drives currency and relative returns
  • Cross-asset (equity, rates, FX) view per region, not equity-only
  • An allocation call actually made, with the risk that would break it
  • Every claim from a source carries an inline citation and appears in the Sources table

Source and attribution

Source:Bigdata-com/bigdata-plugins-marketplaceinplugins/bigdata-com/skills/bigdata-regional-comparisonat commit2a52a00

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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