{"id":25074,"plugin_id":"plugin_asdk_app_69491eceef3c8191beb70788b7840429","kind":"skill","collection_source":null,"comparison_source":null,"observed_at":"2026-09-30T23:19:11.606Z","digest":"a012ebba865638259050172385d2635ce8248a3a7750fbec73f3070caa6da166","against":5557,"payload":{"description":"Analyze a specific sector inside a specific country or region using Bigdata.com data — combining the macroeconomic backdrop (GDP, inflation, rates, policy), country-specific sector trends and valuations, fundamentals of country-domiciled sector leaders confirmed by geographic revenue exposure, the policy and regulatory environment including subsidies, tariffs and foreign-investment rules, and valuation versus global sector peers. Use whenever a request names BOTH a sector AND a country or region. Triggers: \"macro analysis of X in Y\", \"European financials outlook\", \"US technology sector view\", \"India consumer sector\", \"China EV sector\", \"Japanese semiconductor industry\", \"[sector] in [country]\".","included_files":[{"relative_path":"README.md","size_in_bytes":1562},{"relative_path":"agents/openai.yaml","size_in_bytes":342},{"relative_path":"assets/bigdata-icon-black.svg","size_in_bytes":3278},{"relative_path":"assets/report-template.md","size_in_bytes":6184}],"name":"bigdata-country-sector-analysis","skill_md_contents":"---\nname: bigdata-country-sector-analysis\ndescription: >\n  Analyze a specific sector inside a specific country or region using Bigdata.com data —\n  combining the macroeconomic backdrop (GDP, inflation, rates, policy), country-specific sector\n  trends and valuations, fundamentals of country-domiciled sector leaders confirmed by\n  geographic revenue exposure, the policy and regulatory environment including subsidies,\n  tariffs and foreign-investment rules, and valuation versus global sector peers. Use whenever\n  a request names BOTH a sector AND a country or region. Triggers: \"macro analysis of X in Y\",\n  \"European financials outlook\", \"US technology sector view\", \"India consumer sector\",\n  \"China EV sector\", \"Japanese semiconductor industry\", \"[sector] in [country]\".\n---\n\n# Bigdata Country-Sector Analysis\n\nSector view anchored to one country or region. Use Bigdata.com plugin tools for every fact.\n\n**Use this skill when** the request combines **both** a sector and a country/region — \"Technology investment in the USA\", \"European financials outlook\", \"India consumer sector\", \"China EV\". Not this skill when:\n\n| Request | Use instead |\n|---------|-------------|\n| A sector globally, with no country anchor | Sector analysis |\n| A country's economy, with no sector anchor | Country analysis |\n| Several sectors compared | Cross-sector comparison |\n| Several regions compared | Regional comparison |\n\n## Data foundation (plugin tools)\n\n| Tool | Purpose | Prerequisite |\n|------|---------|--------------|\n| `bigdata_search` | Country macro backdrop, country-sector trends, policy | None |\n| `find_securities` | Entity ids for country-domiciled sector leaders | None |\n| `bigdata_company_tearsheet` | Fundamentals and geographic revenue split | `find_securities` |\n| `bigdata_events_calendar` | Upcoming earnings for those leaders | `find_securities` |\n| `bigdata_country_tearsheet` | Economic data where available | None |\n\n## Workflow\n\n### Step 1 — Country economic context\n\n- \"[Country] economic outlook GDP growth 2026\"\n- \"[Country] inflation interest rates monetary policy\"\n- \"[Country] central bank rate decision outlook\"\n\nExtract GDP growth, inflation, interest rates, and the policy environment.\n\n### Step 2 — Country-specific sector news\n\nQuery **country + sector** together:\n\n- \"[Country] [Sector] sector outlook 2026\"\n- \"[Country] [Sector] industry trends performance\"\n- \"[Country] [Sector] regulatory policy government\"\n- \"[Country] [Sector] investment flows foreign domestic\"\n- \"[Country] [Sector] earnings revenue growth\"\n- \"[Country] [Sector] valuations multiples\"\n- \"[Country] [Sector] headwinds risks challenges\"\n- \"[Country] [Sector] tailwinds opportunities growth drivers\"\n\n### Step 3 — Country-domiciled sector leaders\n\nUse `find_securities` for 5–10 companies **headquartered in** or **primarily operating in** that country, then `bigdata_company_tearsheet` for each:\n\n- Revenue breakdown by geography — **confirm the country exposure is real**, not just a listing venue\n- Financial metrics and performance\n- Analyst estimates and sentiment\n- Hiring trends as a workforce signal\n\n### Step 4 — Events\n\nUse `bigdata_events_calendar` for upcoming earnings across those leaders; filter by the country's exchange for a market-wide scan.\n\n### Step 5 — Policy and regulation\n\n- \"[Country] [Sector] regulation policy 2026\"\n- \"[Country] government [Sector] subsidies incentives\"\n- \"[Country] [Sector] trade tariffs exports\"\n- \"[Country] [Sector] foreign investment restrictions\"\n\n### Step 6 — Synthesize the macro-sector view\n\nCombine the country backdrop, the country-specific sector trends, company fundamentals, the policy environment, and **valuation relative to global sector peers**. The value of this deliverable is the intersection — a generic sector view with a country label pasted on top does not pass.\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- Country macro backdrop **and** sector detail both present — neither alone is the deliverable\n- Company selection justified by domicile or operations, with geographic revenue confirming it\n- Policy, subsidies, tariffs, and foreign-investment rules addressed — these usually dominate country-sector outcomes\n- Valuation framed against **global** sector peers, so the country premium or discount is visible\n- Every claim from a source carries an inline citation and appears in the Sources table\n"},"changes":[{"path":"/included_files","type":"changed","before":[{"relative_path":"assets/bigdata-icon-black.svg","size_in_bytes":3278},{"relative_path":"assets/report-template.md","size_in_bytes":6184}],"after":[{"relative_path":"README.md","size_in_bytes":1562},{"relative_path":"agents/openai.yaml","size_in_bytes":342},{"relative_path":"assets/bigdata-icon-black.svg","size_in_bytes":3278},{"relative_path":"assets/report-template.md","size_in_bytes":6184}]}],"summary":"Fields changed: 1. /included_files.","summary_kind":"deterministic","summary_metadata":{}}