Score normalized real-estate leads using sentiment, urgency, intent, recency, and record type to produce deterministic priority rankings and P1-P3 buckets. U...
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install sentiment-priority-scorerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install sentiment-priority-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/sentiment-priority-scorer/π‘Extract and place the folder at the path above, then restart your agent.
Category
π£Marketing & GrowthPlatforms
What Sentiment Priority Scorer can do for your AI workflow
Score normalized real-estate 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 Sentiment Priority Scorer
Help me get started with Sentiment Priority Scorer
Explains what Sentiment Priority Scorer does, walks through the setup, and runs a quick demo based on your current project
Use Sentiment Priority Scorer to score normalized real-estate leads using sentiment, urgency, intent...
Invokes Sentiment Priority Scorer with the right parameters and returns the result directly in the conversation
What can I do with Sentiment Priority Scorer in my marketing & growth workflow?
Lists the top use cases for Sentiment Priority Scorer, with example commands for each scenario
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Sentiment Priority Scorer extends your AI assistant with the ability to score normalized real-estate leads using sentiment, urgency, intent, recency, and record type to produce deterministic priority rankings and P1-P3 buckets. U... 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 Sentiment Priority Scorer as its underlying capability.
Sentiment Priority 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 Sentiment Priority 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 Sentiment Priority Scorer takes about two minutes. Place the skill at `~/.claude/skills/sentiment-priority-scorer/` (personal, all projects) or `.claude/skills/sentiment-priority-scorer/` (project-specific), then restart your AI client. From that point, typing `/sentiment-priority-scorer` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Sentiment Priority Scorer has 563 installs and is part of the growing Marketing & Growth skill ecosystem on DiscoverAISkills. 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/sentiment-priority-scorer/ for personal use (all projects), or .claude/skills/sentiment-priority-scorer/ for project-specific use. Restart your AI client, then invoke with /sentiment-priority-scorer or let the AI discover it automatically.
Sentiment Priority Scorer supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Sentiment Priority Scorer is free to install. Check the repository for licensing information.
Score normalized real-estate leads using sentiment, urgency, intent, recency, and record type to produce deterministic priority rankings and P1-P3 buckets. U...
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