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hanxueyuan

Bloomberg Lp

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
63
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Install in OpenClaw
/install bloomberg-lp
Description
Provides detailed information on Bloomberg L.P.'s history, financial data services, Bloomberg Terminal features, business model, and industry position.
README (SKILL.md)

Overview

Bloomberg L.P. — Michael Bloomberg's financial data and media empire, anchored by the ubiquitous Bloomberg Terminal.

When to Load This Skill

  • User asks about Bloomberg history, financial data industry, or the Bloomberg Terminal
  • Need analysis of Bloomberg's competitive position vs. Refinitiv/FactSet or media strategy
  • Questions about Michael Bloomberg's political career or the company's private ownership

Historical Timeline

  • 1973: Michael Bloomberg joins Salomon Brothers as equity trader; 1981: fired in merger
  • 1981: Bloomberg uses $10M severance to found Innovative Market Systems (later Bloomberg L.P.)
  • 1982: Merrill Lynch invests $30M for 20% stake and 20 terminals — first customer
  • 1990: Bloomberg News launched — challenges Reuters and Dow Jones
  • 2001: Bloomberg becomes Mayor of New York City (2002-2013)
  • 2009: Bloomberg acquires BusinessWeek, relaunches as Bloomberg Businessweek
  • 2014: Bloomberg Terminal reaches 325,000 subscribers; generates ~$10B annual revenue
  • 2024: Terminal remains industry standard at $24K-$27K/year per user; ~$13B+ revenue

Business Model

Bloomberg Terminal subscriptions (~80% of revenue): $24K-$27K/year per user, ~375,000 subscribers. Media (Bloomberg News, TV, Businessweek) and data/analytics. The Terminal's sticky ecosystem (chat, news, analytics, trading) creates near-zero churn.

Competitive Moat

  • Bloomberg IB chat: the industry's communication layer — traders won't leave because their counterparties are there
  • Real-time data depth: unmatched breadth of fixed income, derivatives, and private market data
  • Integration: Terminal connects news, analytics, trading, and messaging in one interface
  • Brand premium: 'having a Bloomberg' is a status symbol on Wall Street trading floors
  • Private ownership: no shareholder pressure for quarterly earnings

Key Data

Revenue: ~$13B+ (2023 est.) | Terminal subscribers: ~375,000 | Terminal price: $24K-$27K/year | Employees: ~20,000+ | Founded: 1981

Interesting Facts

  • The Bloomberg Terminal's amber-on-black interface hasn't fundamentally changed in 40+ years — because traders refuse to relearn their muscle memory
  • Bloomberg IB is the Wall Street equivalent of WhatsApp — 375,000 finance professionals chat through it daily
Usage Guidance
This skill is essentially a static reference about Bloomberg L.P. and appears low-risk: it asks for nothing and installs nothing. Consider that the content may be dated or simplified—if you need up-to-the-minute or proprietary Bloomberg data (e.g., Terminal outputs), this skill won't provide it. If accuracy of specific numbers matters, verify with primary sources. Otherwise, it is safe to enable for informational use.
Capability Analysis
Type: OpenClaw Skill Name: bloomberg-lp Version: 1.0.0 The skill bundle contains purely informational and educational content regarding Bloomberg L.P., its history, and the Bloomberg Terminal. There is no executable code, network activity, or malicious instructions present in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The name/description match the SKILL.md content: it's a reference/summary about Bloomberg L.P. There are no extra binaries, env vars, or config paths requested that would be unexpected for this purpose.
Instruction Scope
SKILL.md is static content (timeline, business model, facts) and does not instruct the agent to run commands, read files, access system state, or transmit data to external endpoints. It stays within the stated informational scope.
Install Mechanism
There is no install spec and no code files; nothing will be written to disk or fetched at install time. This is the lowest-risk installation model.
Credentials
The skill declares no required environment variables, credentials, or config paths. No sensitive access is requested or implied by the instructions.
Persistence & Privilege
The skill is not marked always:true and does not request elevated or persistent system presence. It is user-invocable and may be invoked autonomously by the agent (platform default), which is normal for a content skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install bloomberg-lp
  3. After installation, invoke the skill by name or use /bloomberg-lp
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the bloomberg-lp skill providing a comprehensive overview of Bloomberg L.P., its history, and business model. - Includes major historical milestones and timeline from founding to present. - Details Terminal pricing, subscriber metrics, competitive advantages, and interesting facts. - Outlines when to use the skill (company background, financial data industry, Michael Bloomberg, and competitor analysis). - Summarizes Bloomberg’s business operations, private ownership, and industry impact.
Metadata
Slug bloomberg-lp
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Bloomberg Lp?

Provides detailed information on Bloomberg L.P.'s history, financial data services, Bloomberg Terminal features, business model, and industry position. It is an AI Agent Skill for Claude Code / OpenClaw, with 63 downloads so far.

How do I install Bloomberg Lp?

Run "/install bloomberg-lp" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Bloomberg Lp free?

Yes, Bloomberg Lp is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Bloomberg Lp support?

Bloomberg Lp is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Bloomberg Lp?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

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