bigdata
Skill from Bigdata-com/bigdata-plugins-marketplace
Install
npx skills add Bigdata-com/bigdata-plugins-marketplace --skill bigdata
Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.
As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-official
/plugin install bigdata-com@bigdata-plugins-marketplace
This skill is part of the plugin “bigdata-com”. In Claude Code the plugin installs it together with the plugin’s other skills, commands and hooks.
What does the bigdata skill do?
Description from the SKILL.md in the source repository.
Questions about bigdata
What does the bigdata skill do?
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.
How do I install bigdata?
In a terminal: npx skills add Bigdata-com/bigdata-plugins-marketplace --skill bigdata. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.
Which agents can use bigdata?
Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.
Is bigdata safe to use?
Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.
More skills from Bigdata-com/bigdata-plugins-marketplace
Produce a comprehensive risk assessment for a public company using Bigdata.com data (10-K risk factors, 8-K material events, news, tearsheet financials).
Write a day-14 post-IPO note on potential NASDAQ-100 fast-track index inclusion for a recently listed large-cap, using Bigdata.com data plus web search for index methodology and market data.
Write a day-179 post-IPO note on the 180-day lock-up expiry using Bigdata.com data plus filings and market data. Covers lock-up terms from the prospectus (expiry date, covered holders, share count, early-release provisions) …
Write a day-365 post-IPO note on the 366-day founder and significant-investor lock-up expiry and float expansion toward 15-20%, using Bigdata.com data plus filings and market data.
Produce a balanced pre-IPO research note on an upcoming, not-yet-listed company using its S-1/F-1 plus Bigdata.com data. Covers deal structure (price range, shares, greenshoe, implied valuation, underwriters, lock-ups, share classes), two years …
Give a fast, PM-style quick take on a stock using Bigdata.com data — a one-line current view, the 2-3 drivers that actually matter right now, the key risks and what would change …
Compare regions or blocs using Bigdata.com data — economic indicators, market performance, and cross-asset views — and turn that into an allocation recommendation.
Answer what a public company is worth and whether it is cheap or expensive, using Bigdata.com data (tearsheet multiples, estimates, margins, peer context).
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