Score and qualify leads using customizable criteria. Prioritize your pipeline by fit, intent, and engagement to focus on deals most likely to close.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install afrexai-lead-scorerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install afrexai-lead-scorerβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/afrexai-lead-scorer/π‘Extract and place the folder at the path above, then restart your agent.
Category
π£Marketing & GrowthPlatforms
What Lead Scorer can do for your AI workflow
Score and qualify leads using directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Lead Scorer
Help me get started with Lead Scorer
Explains what Lead Scorer does, walks through the setup, and runs a quick demo based on your current project
Use Lead Scorer to score and qualify leads using customizable criteria
Invokes Lead Scorer with the right parameters and returns the result directly in the conversation
What can I do with Lead Scorer in my marketing & growth workflow?
Lists the top use cases for Lead Scorer, with example commands for each scenario
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Lead Scorer extends your AI assistant with the ability to score and qualify leads using customizable criteria. Prioritize your pipeline by fit, intent, and engagement to focus on deals most likely to close. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Lead Scorer as its underlying capability.
Lead Scorer works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Lead Scorer once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Lead Scorer takes about two minutes. Place the skill at `~/.claude/skills/afrexai-lead-scorer/` (personal, all projects) or `.claude/skills/afrexai-lead-scorer/` (project-specific), then restart your AI client. From that point, typing `/afrexai-lead-scorer` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Lead Scorer has 644 installs and is part of the growing Marketing & Growth skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/afrexai-lead-scorer/ for personal use (all projects), or .claude/skills/afrexai-lead-scorer/ for project-specific use. Restart your AI client, then invoke with /afrexai-lead-scorer or let the AI discover it automatically.
Lead Scorer supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Lead Scorer is free to install. Check the repository for licensing information.
Score and qualify leads using customizable criteria. Prioritize your pipeline by fit, intent, and engagement to focus on deals most likely to close.
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Automate my marketing & growth tasks using Lead Scorer
Identifies repetitive steps in your workflow and sets up Lead Scorer to handle them automatically
Lead Scorer is categorized under Marketing & Growth. These skills help AI agents perform specialized tasks in this domain.