|SKILLS

Research skills for AI tools, grounded in live data.

28 skills that turn one question into a cited research note: earnings previews, company briefs, valuation checks, sector calls and IPO notes. Each one runs on Bigdata.com’s news, filings, transcripts and market data.

Works in Claude, ChatGPT, Microsoft Copilot and Claude Code

Quick take Company brief Investment memo Catalyst monitor Risk assessment Earnings preview Earnings reaction Valuation snapshot Peer comparables Scenario analysis Moat and governance review Sector analysis Thematic research Country analysis G7 comparison Pre-IPO analysis

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Custom research

One entry point to Bigdata.com: research any company, security, sector, country, market or economy with cited data, and turn a task you repeat into a skill of your own.

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Equity research

Quick take

A fast, PM-style view on a stock: a one-line view, the two or three drivers that matter now, the key risks, and the next catalyst. One page, no full thesis, no model.

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Equity research

Company brief

A cited summary of what happened at a company in the last 30 days and why it matters, sorted by type of event and ranked by importance.

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Earnings

Earnings reaction

A short, decision-focused note after a company reports: beat or miss, guidance changes, whether the thesis still holds, the revisions it forces, and what to do next.

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Earnings

Earnings digest

A full digest of a company's latest results: numbers against consensus, guidance, cash flow, surprises, analyst reactions, and what the quarter means for the bull and bear case.

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Equity research

Catalyst monitor

Maps the dated events that could move a company over the next few quarters, from earnings and investor days to regulatory decisions and refinancings, ranked by expected impact.

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Earnings

Earnings preview

A forward-looking preview before a company reports: the drivers that matter this quarter, what is priced in, bull and bear cases, and scenarios with a probability-weighted value.

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Featured skill

Earnings preview

A forward-looking preview before a company reports: the drivers that matter this quarter, what is priced in, bull and bear cases, and scenarios with a probability-weighted value.

Earnings

Try askingEarnings preview for Microsoft

See the skill

What the note contains

01Driver table: the 2–3 factors that matter this quarter, and why
02Earnings quality screen with a 'watch for' note on each item
03Consensus estimates and recent performance
04Sentiment and positioning: options, short interest, 13F changes, insider trades, sell-side posture
05What is priced in, with a valuation cross-check against history and peers
06Where the view differs from consensus
07Bull and bear cases tied to consensus line items

Equity research

Investment memo

A full institutional investment memo: thesis, where the view differs from consensus, valuation, risks, catalysts, and a recommendation with a conviction level.

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Equity research

Risk assessment

A full risk review of a company across six categories, from regulatory to governance, rated by likelihood and impact, with 10-K risk factors, recent 8-K events and a distress screen.

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Valuation

Valuation snapshot

What a company is worth and whether it is cheap or expensive: multiples against its own history and peers, what the current price implies, and a cheap, fair or rich verdict.

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Valuation

Peer comparables

Compares a company with its peers on valuation, growth, margins, returns, leverage and sentiment, and says whether its premium or discount is justified.

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Valuation

Scenario analysis

Bull, base and bear cases for a company with line-item assumptions, justified probabilities, a value for each case, and the probability-weighted expected return.

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Sectors and themes

Sector analysis

Analyzes one sector with its own KPIs, not only P/E: performance, valuation, cycle position, themes, sub-industries and catalysts, with top picks and areas to avoid.

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Sectors and themes

Cross-sector comparison

Compares two or more sectors on valuation, earnings growth, sentiment and cycle position, and turns that into a rotation call with overweight and underweight views.

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Sectors and themes

Thematic research

Researches an investment theme such as AI, the energy transition or reshoring: sub-themes, the sectors affected, named winners and losers, and ways to express the theme.

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Macro

Regional comparison

Compares regions or blocs on growth, inflation, policy and markets, with equity, rates and currency views, and an allocation recommendation.

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Equity research

Variant perception

States where your view on a company differs from consensus, as a specific, falsifiable claim with a time horizon, and what would prove it wrong.

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Equity research

Moat and governance review

Assesses how durable a company's competitive advantage is and whether management can be trusted with the capital.

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Earnings

Earnings quality screen

Screens a company's reported earnings for accounting red flags, and gives a verdict on how far the reported numbers can be trusted.

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Sectors and themes

Sector playbook

An operational playbook for investing in one sector: the KPIs that matter, how to value its companies, the live debates and what to own, avoid and watch.

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Sectors and themes

Country sector analysis

Analyzes one sector inside one country or region, with the macro backdrop, local leaders, policy and valuation against global peers.

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Macro

Country analysis

A deep economic analysis of one country: growth, inflation, policy, labor, debt and what it means for equities, rates, currency and investment flows.

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Macro

G7 comparison

Benchmarks the seven G7 economies side by side, including where their central banks diverge, and ends with a ranked allocation view.

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IPOs

Pre-IPO analysis

A balanced research note on an upcoming listing, built from the S-1 or F-1 and market context, with bull and bear debates and no participate or avoid call.

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IPOs

Post-IPO: first trading day

A reaction note on a new listing's first day of trading: how the deal priced, how the stock traded, and what comes next.

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IPOs

Post-IPO: index fast track

A day-14 note on whether a large new listing could join the NASDAQ-100 on the fast track, and the passive demand that would follow.

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IPOs

Post-IPO: lock-up expiry

A day-179 note on the 180-day lock-up expiry: how many shares unlock, who may sell, and how the stock is positioned into the date.

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IPOs

Post-IPO: founder lock-up

A day-365 note on the founder and large-investor lock-up expiry, the float expansion that follows, and whether founders actually sell.

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From one question to a cited note

Add Bigdata.com

Install the Bigdata.com plugin in Claude, ChatGPT or Copilot Cowork, or in Claude Code. Every skill comes with it.

Ask in plain words

“Earnings preview for Microsoft.” The matching skill starts on its own, or you call it by name.

Get a cited note

The skill pulls news, filings, transcripts and market data, then writes a structured note with a citation on each claim.

Install once, in the tool you use

One install adds every skill and the connection to Bigdata.com. Sign in with your Bigdata.com account; new accounts start with free credits.

Claude

Open the Bigdata.com plugin in the Claude directory (Customize → Plugins → Browse → Partners) and click Install. Sign in with your Bigdata.com account when asked. On Team and Enterprise plans, an admin adds the Bigdata.com connector first.

Open the plugin in Claude

ChatGPT

Go to Settings → Apps, click Add more, choose Bigdata.com and click Connect to sign in with your Bigdata.com account. The skills come with the app. On Business and Enterprise workspaces, an admin enables the app first.

Open in ChatGPT

Copilot Cowork

Open Customize in Microsoft 365 Copilot Cowork, search for Bigdata and click Install. Sign in with your Bigdata.com account when asked.

Open in Copilot Cowork

Claude Code

Create an API key on the Bigdata.com Developer Platform and add the Bigdata.com MCP server with it. Then run /plugins in Claude Code and install the Bigdata plugin from the official marketplace.

claude mcp add --transport http bigdata_com https://mcp.bigdata.com/ --header "x-api-key: YOUR_API_KEY"

Read the Claude Code guide

Skills produce research and analysis, not investment advice. Check every number before you act on it.

Questions about skills

A skill is a set of instructions that tells your assistant how to do one research task well: which Bigdata.com data to pull, in what order, and how to lay out the note.

Yes. You sign in with your Bigdata.com account when you connect Bigdata.com. New accounts start with free credits.

Claude, ChatGPT, Microsoft Copilot Cowork and Claude Code. One install adds all 28 skills.

No. The skills come with the Bigdata.com plugin at no charge. The data a skill pulls uses your Bigdata.com credits.

No. Ask in plain words and the matching skill starts on its own. You can also call one by name with the command on its page.

No. The skills produce research and analysis with citations. Check every number before you act on it.