bigdata-quick-take
Skill from Bigdata-com/bigdata-plugins-marketplace
Install
npx skills add Bigdata-com/bigdata-plugins-marketplace --skill bigdata-quick-take
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-quick-take skill do?
Description from the SKILL.md in the source repository.
Questions about bigdata-quick-take
What does the bigdata-quick-take skill do?
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 the view, and the near-term setup with the next catalyst. Deliberately short: one page, no full thesis, no model. Triggers: "quick take on X", "what do you think of X", "give me a fast view on X", "thoughts on X", "X in a nutshell", "one-liner on X", "is X interesting right now".
How do I install bigdata-quick-take?
In a terminal: npx skills add Bigdata-com/bigdata-plugins-marketplace --skill bigdata-quick-take. 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-quick-take?
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-quick-take 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
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Produce a comprehensive risk assessment for a public company using Bigdata.com data (10-K risk factors, 8-K material events, news, tearsheet financials).
State explicitly where your view on a public company differs from consensus, using Bigdata.com data. Establishes the consensus baseline from estimates and sell-side posture, applies the EPIC filter to candidate differentiators, frames …
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