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Lead Scorer

Score and qualify leads using customizable criteria. Prioritize your pipeline by fit, intent, and engagement to focus on deals most likely to close.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/1kalin/lead-scorer
Or

What This Skill Does

The Lead Scorer skill transforms your raw CRM data or lead lists into an actionable, prioritized roadmap. By utilizing a multi-dimensional scoring framework, it evaluates prospects based on their Ideal Customer Profile (ICP) fit, current buying intent, and overall engagement levels. Beyond simple math, the skill applies standard qualification methodologies like BANT and MEDDIC to ensure that you are focusing your limited time on deals with the highest probability of closing. It provides a structured output, including a final grade from A to F, a comprehensive score breakdown, and tailored recommended next steps, effectively removing the guesswork from pipeline management.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/1kalin/lead-scorer

Use Cases

  • Pipeline Hygiene: Regularly scrub your existing database to identify which leads have gone cold and need to be removed from active sales cycles.
  • Sales Development Rep (SDR) Efficiency: Prioritize daily outreach tasks by starting with 'A' and 'B' grade leads, ensuring high-value targets are contacted first.
  • Sales Forecast Accuracy: Improve the reliability of your revenue projections by assigning grades that reflect the true readiness of prospects in your pipeline.
  • Campaign Evaluation: Analyze whether leads coming from specific marketing channels tend to have higher 'Fit' scores versus 'Intent' scores, allowing for budget reallocation.

Example Prompts

  1. "I've uploaded a CSV of 50 new inbound leads. Please run the Lead Scorer, grade them based on the standard framework, and give me a table ranked by total score with the top 5 leads highlighted for immediate follow-up."
  2. "Analyze this lead: Company is a mid-market SaaS with 200 employees, they visited our pricing page twice, but have not replied to our last three emails. What is their score and what should my next outreach strategy be?"
  3. "Apply the MEDDIC qualification framework to my current list of late-stage leads and tell me which ones are missing critical information like the 'Economic Buyer' or 'Decision Criteria'."

Tips & Limitations

  • Customization is Key: While the skill comes with a default scoring model, you can override the weights for specific categories (e.g., if geography is less important than tech stack compatibility) by providing the model with context in your prompt.
  • Data Quality: The scoring accuracy is directly proportional to the quality of your input data; ensure your CRM fields are updated before running the batch tool.
  • Not a Decision-Maker: Use this skill as a decision-support tool. Always apply human intuition to the final grade—especially when dealing with high-ticket enterprise contracts where nuances might escape standard scoring heuristics.

Metadata

Author@1kalin
Stars4473
Views1
Updated2026-05-01
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-1kalin-lead-scorer": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#lead-scoring#sales-automation#pipeline-management#crm-optimization
Safety Score: 5/5