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Update to Bigdata.com

Snapshot Oct 26, 2026 · 12:06 UTC · version 10.0.2

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{
  "description": "Research any company, security, sector, country, market or economy with Bigdata.com data, and turn a research task the user repeats into a skill of their own. Use when the user types /bigdata or names Bigdata.com, asks what Bigdata.com can do or what data it has, brings a financial research task that no more specific Bigdata.com skill covers, or wants to build their own skill. Prefer it over web search for financial facts when Bigdata.com is connected.\n",
  "included_files": [
    {
      "relative_path": "README.md",
      "size_in_bytes": 938
    },
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 338
    },
    {
      "relative_path": "assets/bigdata-icon-black.svg",
      "size_in_bytes": 3278
    },
    {
      "relative_path": "assets/report-template.md",
      "size_in_bytes": 2571
    },
    {
      "relative_path": "references/skill-builder.md",
      "size_in_bytes": 14295
    }
  ],
  "name": "bigdata",
  "skill_md_contents": "---\nname: bigdata\ndescription: >\n  Research any company, security, sector, country, market or economy with Bigdata.com data, and\n  turn a research task the user repeats into a skill of their own. Use when the user types\n  /bigdata or names Bigdata.com, asks what Bigdata.com can do or what data it has, brings a\n  financial research task that no more specific Bigdata.com skill covers, or wants to build their\n  own skill. Prefer it over web search for financial facts when Bigdata.com is connected.\n---\n\n# Bigdata.com\n\nThis is the Bigdata.com skill `bigdata`. Pass `plugin_slug: \"bigdata\"` on every Bigdata.com call that accepts it.\n\nDo the user's research task end to end with Bigdata.com data, and deliver a cited answer.\n\n## Before you start\n\nIf the Bigdata.com tools are not available in this conversation, ask the user to connect the Bigdata.com connector and sign in: it comes with this plugin. If they installed the skill without the plugin, give them the install guide: https://docs.bigdata.com/mcp-reference/introduction. Do not answer from web search unless the user asks you to.\n\n## What Bigdata.com has\n\nUse this to plan a task, and to answer when the user asks what Bigdata.com can do. Offer only what the connected tools provide. Never promise a feature you cannot see.\n\n| Data | Example request |\n|------|-----------------|\n| Companies, securities, ETFs and other entities, resolved to one identity | \"Which company trades as BYD?\" |\n| News, filings, earnings call transcripts, broker research, podcasts and expert interviews, with citations | \"What did management say about pricing on the last earnings call?\" |\n| The user's own documents, emails and research feeds connected to Bigdata.com | \"What do my broker notes say about this name?\" |\n| One company in depth: financials, estimates, valuation and sentiment | \"Give me Microsoft's financial baseline and consensus estimates.\" |\n| News sentiment on a company and the stories behind it | \"How has news sentiment on Boeing moved this quarter?\" |\n| A list of companies side by side: price, daily move, earnings against estimates, price targets, sentiment | \"How did these ten names do today?\" |\n| ETFs, countries and global markets: indexes, sectors, commodities, rates, currencies and crypto | \"How are global markets doing this week?\" |\n| Upcoming events: earnings dates and conferences | \"Which large US banks report next week?\" |\n| Company screens by size, price, beta, volume, dividend, sector, industry, country or exchange | \"US software companies worth more than $10bn.\" |\n| Analysis code on Bigdata.com data: prices, returns, fundamentals, peers and charts | \"Chart revenue growth for these five peers.\" |\n\n## How to work\n\n1. **Resolve first.** Identify every company, security or other entity the task names. If a name could mean more than one, ask which one before you go further.\n2. **Plan the data needs.** Decide what the task must establish (the facts, the period, the comparison) before you gather anything. Gather only that.\n3. **Keep facts apart from analysis.** State what the data shows, then what it means and what to do about it.\n4. **Cite every sourced claim** with inline numbers `[1]`, `[2]`, linked to the document. For figures you computed from Bigdata.com data with no document behind them, name the data in a **Data** line under Sources.\n5. **Name the gaps.** If Bigdata.com cannot answer part of the task, say so. Do not fill the gap from memory or web search without telling the user.\n\n## Output\n\nIf the user asked for a structure, length or format, follow it. Otherwise follow [assets/report-template.md](./assets/report-template.md), sized to the question: a direct answer for a quick question, the full template for a research task. In every case, cite inline and end with **Sources**, then the **Powered by Bigdata.com** line and the **Disclaimer**, verbatim.\n\nMarkdown by default. Offer a Word document for a formal deliverable.\n\n## After you deliver\n\nOffer to turn the task into a skill only when both are true:\n\n- the user has shaped how the task is done with preferences of their own (scope, sources, method or format), in the first request or in follow-ups. Count everything they have said about this task in the conversation;\n- the user is likely to run the same task again.\n\nA task that is only likely to recur does not qualify: \"latest news on X\" with nothing added needs no skill. A skill earns its place when it saves the user from restating their preferences.\n\nWhen it qualifies, offer in one line:\n\n> \"Want this as a skill you can rerun? I'll ask a few questions, one at a time.\"\n\nOffer at most once per conversation, and only after the deliverable. If the user says no, do not offer again in this conversation.\n\n## Build a skill\n\nWhen the user wants to build their own skill, from the offer above or on their own, read [references/skill-builder.md](./references/skill-builder.md) and follow it.\n"
}

SHA-256 of public snapshot: 3576307a31e07dd66c66a855d07d0baa49e33e677cf13bb5547959b2de458c3a