An intelligent preparation assistant for China Telecom account managers to automate enterprise research, opportunity matching, and visit script generation.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install telecom-visit-prep
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install telecom-visit-prep using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Telecom Visit Prep is a specialized AI agent tool designed to streamline the pre-visit workflow for enterprise account managers. By simply inputting a company name, the skill triggers a multi-dimensional search process to gather business registration data, recent news, and digital transformation trends. It transforms raw data into actionable intelligence, allowing professionals to leverage Openclaw Skills for high-impact client engagements.
This skill goes beyond simple data collection by synthesizing information into a structured customer profile. It intelligently matches specific telecom products—ranging from Tianyi Cloud to SD-WAN solutions—based on the client's industry, scale, and IT maturity. The result is a professional, first-person preparation report that includes customized communication scripts and a strategic visit plan.
To enable Telecom Visit Prep within your environment, ensure you have a search tool configured. This is a core requirement for Openclaw Skills of this nature.
# Install optional document generation support
pip install python-docx
# Ensure an MCP Search Server is active, for example:
# @anthropic/mcp-web-search or @anthropic/mcp-brave-search
The skill organizes data into a structured hierarchy to ensure clarity and professional presentation:
| Section | Data Points Included |
|---|---|
| Enterprise Profile | Full name, industry, scale, registered capital, and IT maturity estimation. |
| Opportunity Analysis | Product recommendations, priority level, and specific evidence-based reasoning. |
| Visit Plan | Objectives, schedule, preparation checklist, and risk mitigation strategies. |
| Script Library | Ice-breakers, needs exploration questions, and product pitch templates. |
| Metadata | Source attribution (e.g., Qichacha, Official Accounts) and information maturity levels. |
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