An automated lead qualification agent that prioritizes your sales pipeline using customizable scoring frameworks like BANT and MEDDIC.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lead-scorer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install lead-scorer 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 Lead Scorer?
The Lead Scorer is a specialized AI agent designed to help sales and marketing teams evaluate prospect quality with precision and consistency. By integrating with Openclaw Skills, this tool automates the tedious process of manual lead qualification, allowing sales teams to focus on high-intent deals that are most likely to close. It leverages a multi-dimensional scoring model—evaluating Fit, Intent, and Engagement—to provide a holistic view of every lead in your pipeline.
This skill ensures that no valuable lead is overlooked while preventing sales representatives from wasting time on low-fit prospects. Whether you are using traditional BANT criteria or advanced MEDDIC methodologies, the Lead Scorer provides a consistent, data-driven approach to sales development and pipeline management within the Openclaw Skills ecosystem.
Lead Scorer Use Cases
- Prioritizing daily sales outreach based on lead temperature and engagement levels.
- Automating the lead hand-off process between marketing and sales teams.
- Evaluating batch lists of prospects collected from webinars or content downloads.
- Identifying high-value champions within complex enterprise accounts using MEDDIC frameworks.
How Lead Scorer Works
- Define your specific scoring parameters for Fit, Intent, and Engagement within the Openclaw Skills interface.
- Input lead data individually or upload batch lists for comprehensive processing.
- The agent applies BANT and MEDDIC frameworks to qualify the lead's budget, authority, and timeline.
- Leads are assigned a numerical score (0-100) and a corresponding letter grade (A-F).
- The system generates a ranked table with specific recommended next actions tailored for each lead.
Lead Scorer Setup
To begin using the Lead Scorer with Openclaw Skills, ensure your environment is configured for agent execution. You can initialize the scoring framework by defining your ICP (Ideal Customer Profile) metrics in your configuration.
# Install the lead scoring skill
openclaw install lead-scorer
# Run a scoring session for a specific lead list
openclaw run lead-scorer --input leads.csv --output prioritized_leads.md
Adjust the scoring weights in your configuration file to align with your specific industry and sales cycle requirements.
Lead Scorer Data Schema & Taxonomy
The Lead Scorer organizes prospect data into a structured format to ensure clarity across your CRM integrations. Within Openclaw Skills, data is typically categorized as follows:
| Attribute | Type | Description |
|---|---|---|
| Lead ID | String | Unique identifier for the prospect |
| Total Score | Integer | Aggregated score (0-100) |
| Grade | String | Letter grade from A (Hot) to F (Disqualify) |
| Fit Score | Integer | Score based on ICP and tech stack match |
| Intent Score | Integer | Score based on pricing page visits and demo requests |
| Next Action | String | Automated recommendation (e.g., 'Book a call', 'Add to sequence') |
Lead Scorer Advanced Features
- Batch processing capabilities for large CSV lead lists to enable rapid pipeline updates.
- Support for advanced MEDDIC qualification including Economic Buyer and Decision Criteria identification.
- Customizable weighted scoring for industry-specific fit and tech stack compatibility requirements.
- Automated next-action generation based on real-time lead engagement velocity.
SKILL.md
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