Agent-Skills.md

Agent Skills: Lead Intelligence Skill

Advanced lead qualification and analysis using the EnterpriseHub GHL integration and predictive intelligence tools.

UncategorizedID: chunkytortoise/enterprisehub/lead-intelligence

Repository

chunkytortoise/enterprisehub
ChunkyTortoiseLicense: MIT

Install this agent skill to your local

pnpm dlx add-skill https://github.com/ChunkyTortoise/EnterpriseHub/tree/HEAD/.gemini/skills/lead-intelligence

Skill Files

Browse the full folder contents for lead-intelligence.

Download Skill

Loading file tree…

.gemini/skills/lead-intelligence/SKILL.md

Skill Metadata

Name
lead-intelligence
Description
Advanced lead qualification and analysis using the EnterpriseHub GHL integration and predictive intelligence tools.

Lead Intelligence Skill

Use this skill to perform deep lead qualification, property research, and predictive analysis for Jorge Salas' real estate business.

Core Capabilities

  1. Public Records Research: Use get_public_records to fetch property details.
  2. Predictive Analytics: Use detect_life_event_triggers and predict_propensity_to_sell to identify high-intent leads.
  3. Lead Scoring Framework: Apply the 28-feature pipeline logic to categorize leads.

Lead Scoring Guidelines (28-Feature Pipeline)

When analyzing a lead, evaluate these core factors:

1. Budget Qualification (25%)

  • Stated budget vs. market reality.
  • Pre-approval status.
  • Down payment availability.

2. Timeline Urgency (20%)

  • Stated timeline to purchase/sell.
  • Current housing situation.
  • Market timing awareness.

3. Engagement Level (20%)

  • Response rate to communications.
  • Website interaction patterns (if available via CRM).
  • Property viewing requests.

4. Geographic Focus (15%)

  • Preferred area specificity.
  • Realistic area expectations.

5. Behavioral Indicators (20%)

  • Communication style and tone.
  • Question quality and specificity.

Scoring Grades

  • A-Grade (9-10): Hot leads ready to transact.
  • B-Grade (7-8): Warm leads needing nurturing.
  • C-Grade (5-6): Qualified prospects with longer timeline.
  • D-Grade (3-4): Requires significant qualification.
  • F-Grade (1-2): Not qualified or likely unviable.

Workflow Integration

  • Use the enterprise-hub MCP tools to fetch live data.
  • Store results in the PostgreSQL database for long-term tracking.
  • Update the active-session.md when a significant lead milestone is reached.