Summary

This repository offers an AI-powered sales team designed to run within Claude Code, automating a comprehensive suite of sales tasks. It empowers users to research companies, qualify leads using BANT and MEDDIC methodologies, identify key decision-makers, generate personalized outreach sequences, prepare for meetings, and produce PDF pipeline reports. The system aims to provide actionable sales intelligence directly from the command line, benefiting founders, sales professionals, and agencies by streamlining complex sales workflows.

How It Works

The project utilizes a three-layer architecture: an orchestrator skill routes commands to 13 specialized sub-skills, which in turn activate 5 parallel agents for deep analysis. The flagship /sales prospect command exemplifies this, fetching website data, running agents concurrently for company research, contact discovery, opportunity scoring, competitive analysis, and outreach strategy, and then synthesizing these into a weighted composite score (0-100). This score is derived from Company Fit (25%), Contact Access (20%), Opportunity Quality (20%), Competitive Position (15%), and Outreach Readiness (20%). Skills are designed for cross-integration, allowing outputs from one command to inform subsequent actions like generating outreach emails or meeting preparation briefs.

Quick Start & Requirements

• Primary Install: Execute curl -fsSL https://raw.githubusercontent.com/zubair-trabzada/ai-sales-team-claude/main/install.sh | bash. A manual installation involves cloning the repository and running ./install.sh.
• Prerequisites: Claude Code is a mandatory requirement. Python 3.8+ is optional but recommended for enhanced parsing and PDF report generation. Optional Python dependencies (reportlab, beautifulsoup4, requests) can be installed via pip install -r requirements.txt.
• Links: No external demo or documentation links are provided.

Highlighted Details

• Provides 14 distinct sales skills and 5 parallel agents for comprehensive analysis.
• Automates lead qualification using both BANT and MEDDIC frameworks with detailed scoring.
• Generates personalized outreach sequences, meeting preparation briefs, and client proposals.
• Supports the creation of both Markdown and PDF pipeline reports.

Maintenance & Community

The provided README does not contain specific details regarding project maintainers, community channels (e.g., Discord, Slack), sponsorships, or a public roadmap.

Licensing & Compatibility

The project is licensed under the MIT License. This permissive license allows for broad use, modification, and distribution, including within commercial and closed-source applications, provided attribution is maintained.

Limitations & Caveats

The core functionality of this tool is dependent on the Claude Code environment. While optional Python packages enhance certain features like PDF generation, the primary operational framework requires Claude Code. The README does not specify performance benchmarks or known issues.