CMB Knowledge & Research Tool for Openclaw

A comprehensive research skill designed to retrieve and organize deep business intelligence, history, and market data for CMB.

hanxueyuan
v0.1.6
Apr 15, 2026
0
280
1

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install cmb

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install cmb using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is CMB Knowledge & Research Tool?

The CMB Knowledge & Research Tool is a specialized module for the Openclaw Skills ecosystem, designed to provide developers and AI agents with structured access to China Merchants Bank (CMB) data. It synthesizes complex information regarding the institution's evolution, service offerings, and global footprint into actionable insights.

By leveraging this skill, users can automate the collection of brand milestones and competitive positioning. As part of the Openclaw Skills library, it ensures that your AI coding agent has the specific context required to handle financial sector queries or business intelligence tasks with high precision.

CMB Knowledge & Research Tool Use Cases

  • Rapidly retrieving a comprehensive overview of CMB for financial reports.
  • Conducting market analysis and comparing product offerings within the banking sector.
  • Preparing data-driven business presentations or industry whitepapers.
  • Integrating banking entity context into larger automated workflows using Openclaw Skills.

How CMB Knowledge & Research Tool Works

  1. The AI agent detects a query related to CMB brand history, business functions, or market status.
  2. The skill triggers a lookup within its indexed knowledge base or connected financial data sources.
  3. Data is categorized into logical segments such as Brand History, Business Overview, and Market Distribution.
  4. The processed information is formatted as a structured response, ready for user consumption or further processing within Openclaw Skills.

CMB Knowledge & Research Tool Setup

To add this research capability to your environment, use the Openclaw Skills CLI to install the package and configure any necessary API access for real-time data.

# Install the CMB research skill
openclaw install cmb-research-skill

# Configure the skill with your preferred data sources
openclaw configure cmb-research-skill --source official_api

CMB Knowledge & Research Tool Data Schema & Taxonomy

The skill organizes retrieved information into a standardized schema for consistent output across different Openclaw Skills implementations:

Field Description Type
brand_history Historical development from founding to present String
business_overview Key products, services, and core functions List
market_distribution Geographic coverage and regional impact Array
competitive_landscape Industry rankings and influence metrics Object

CMB Knowledge & Research Tool Advanced Features

  • Real-time synchronization with official financial news feeds.
  • Cross-referencing capabilities with other Openclaw Skills for deep-dive market comparisons.
  • Automated report generation hooks for PDF and Markdown exports.
  • Multi-agent support for collaborative financial research tasks.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*