An automated conversational system that qualifies, scores, and routes inbound leads based on project fit and budget.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install client-intake-bot-pro
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 client-intake-bot-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Client Intake Bot is a specialized tool within the ecosystem of Openclaw Skills designed to handle the heavy lifting of lead screening. It replaces static, low-conversion contact forms with dynamic, conversational Q&A flows that feel natural to the prospect while gathering critical business data. By leveraging this skill, developers and service providers can ensure they only spend their time on high-value opportunities.
This skill functions as an always-on gatekeeper, evaluating every inquiry against your specific criteria for budget, timeline, and authority. Whether you are a solo freelancer or a growing agency, integrating these types of Openclaw Skills into your workflow allows you to maintain professional responsiveness without the manual overhead of traditional intake processes.
To deploy this skill among your Openclaw Skills, you can initialize it with a natural language prompt defining your services and criteria:
# Initialize a consulting intake workflow
"Create an intake bot for consulting. Factors: Company size, urgency, and budget. Assign 1-10 points per factor and route scores over 30 to me immediately."
Configuration involves setting your scoring thresholds and connecting your preferred notification channels.
The Client Intake Bot organizes prospect information into a structured format for easy integration with other Openclaw Skills:
| Attribute | Description | Data Type |
|---|---|---|
| lead_score | Calculated numerical value based on qualification | Integer |
| temperature | Classification as Cold (0-15), Warm (16-29), or Hot (30-40) | String |
| project_context | Raw answers and captured project metadata | Object |
| routing_status | Current stage in the notification or nurture pipeline | Enum |
| response_log | History of auto-responses and nurture emails sent | Array |
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