Update to Bigdata.com

{
  "name": "bigdata-regional-comparison",
  "description": "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\".",
  "included_files": [
    {
      "relative_path": "README.md",
      "size_in_bytes": 1378
    },
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 341
    },
    {
      "relative_path": "assets/bigdata-icon-black.svg",
      "size_in_bytes": 3278
    },
    {
      "relative_path": "assets/report-template.md",
      "size_in_bytes": 2388
    }
  ],
  "skill_md_contents": "---\nname: bigdata-regional-comparison\ndescription: >\n  Compare regions or blocs using Bigdata.com data — economic indicators, market performance,\n  and cross-asset views — and turn that into an allocation recommendation. Covers growth,\n  inflation, policy and labor per region, comparative developed-versus-emerging analysis,\n  regional equity valuations, and fixed income and currency views for each. Triggers:\n  \"compare US vs Europe vs Asia\", \"which regions look attractive\", \"regional allocation\",\n  \"developed vs emerging markets\", \"Europe vs US equities\", \"global allocation view\".\n---\n\n# Bigdata Regional Comparison\n\nCross-region economic and market comparison with an allocation call. Use Bigdata.com plugin tools for every fact.\n\n**Use this skill when** two or more regions or blocs are being weighed. Not this skill when:\n\n| Request | Use instead |\n|---------|-------------|\n| One country in depth | Country analysis |\n| The G7 specifically | G7 comparison |\n| Sectors rather than regions | Cross-sector comparison |\n| A sector inside one region | Country-sector analysis |\n\n## Data foundation (plugin tools)\n\n| Tool | Purpose | Prerequisite |\n|------|---------|--------------|\n| `bigdata_country_tearsheet` | Economic data and comparisons where available | None |\n| `bigdata_search` | Regional indicators, comparative analysis, cross-asset views | None |\n\nIf `bigdata_country_tearsheet` is unavailable or fails, complete the analysis with `bigdata_search` alone.\n\n## Workflow\n\n### Step 1 — Economic data for each region\n\nSearch each region separately, indicator by indicator.\n\n**US:** \"United States GDP growth economic outlook 2026\" · \"US inflation Federal Reserve interest rates\" · \"US unemployment labor market\"\n\n**Europe:** \"Eurozone GDP growth economic outlook 2026\" · \"ECB interest rates inflation monetary policy\" · \"Europe unemployment economic data\"\n\n**Asia:** \"Japan GDP growth BOJ monetary policy\" · \"China economic outlook GDP growth\" · \"India economic growth outlook\"\n\nExtend or substitute regions to match what the user asked for.\n\n### Step 2 — Comparative analysis\n\n- \"G7 economic comparison GDP growth rates\"\n- \"US Europe Asia economic outlook comparison\"\n- \"developed vs emerging markets allocation\"\n- \"global economic outlook regional comparison\"\n\n### Step 3 — Regional market implications\n\n- \"regional equity valuations US Europe Asia\"\n- \"currency outlook major currencies USD EUR JPY\"\n- \"global fixed income yields comparison\"\n\n### Step 4 — Cross-asset views\n\nBuild the fixed income and currency view for **each** region in scope, not just for equities. Regional allocation decisions are usually made across assets.\n\n### Step 5 — Allocation call\n\nRank the regions and state the allocation explicitly, with the reason per region and the key risk that would break the call.\n\n## Output\n\nFollow [assets/report-template.md](./assets/report-template.md) exactly — section order, tables, sources, and footer.\n\n- **Inline citations** `[1]`, `[2]` after every claim from a source, hyperlinked to the document URL.\n- End with the numbered **Sources** table (source, date, URL), then the **Powered by Bigdata.com** line and **Disclaimer**, verbatim.\n- Default format is Markdown. After delivering, you may ask: \"Would you like me to create a Word document or presentation with this analysis?\"\n\n## Quality bar\n\nNon-negotiables:\n\n- Every region covered on the **same** indicators, so the comparison is like-for-like\n- Policy divergence addressed explicitly — it usually drives currency and relative returns\n- Cross-asset (equity, rates, FX) view per region, not equity-only\n- An allocation call actually made, with the risk that would break it\n- Every claim from a source carries an inline citation and appears in the Sources table\n"
}