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Sales Blueprint

Run Full Sales Cycles With AI Agents

zubair-trabzadaMay 2026

A bundle of 14 sales skills and 5 parallel agents for prospecting, qualification, outreach, and reporting inside Claude Code.

Company Research & FirmographicsLead QualificationContact & Buying CommitteeOutreach & Follow-upMeeting Prep & ProposalsReporting & Pipeline

Install Command

Run this command to deploy the blueprint to your environment.

What problem does this solve?

Runs a complete AI-powered sales workflow from prospect research through closing, all from the command line. Each command generates actionable intelligence and ready-to-send outreach, eliminating the need to manually research prospects, build spreadsheets, or copy-paste insights across tools.

How does it work?

Once installed, you run sales commands in Claude Code. 1. Start with `/sales prospect <url>` to launch 5 agents that analyze a company in parallel (fit, contacts, opportunity, competitive position, outreach strategy). 2. Use standalone commands like `/sales qualify`, `/sales prep`, `/sales outreach` to drill deeper or generate specific outputs. 3. Skills share context automatically, so later commands pull insights from earlier analysis. 4. Export to Markdown or PDF for sharing. Output: prospect scores, decision maker maps, email sequences, meeting briefs, and pipeline reports.

Included Skill Groups

What's the biggest win?

Every sales activity from research to proposal generation runs in one connected system, so context flows between steps instead of starting cold at each task.

What should I know technically?

Requires Claude Code because the `/sales` commands execute as Claude Code skills, invoking Python scripts (analyze_prospect.py, lead_scorer.py, contact_finder.py, generate_pdf_report.py) for website scraping, scoring, and PDF generation. Optional Python dependencies (Python 3.8+, reportlab for PDF, beautifulsoup4 for HTML parsing, requests for URL fetching) enhance functionality but are not required for basic Markdown output.

What should I watch out for?

Python dependencies (reportlab, beautifulsoup4, requests) are optional; PDF generation and enhanced website parsing require manual install. Contact discovery relies on publicly available data (team pages, LinkedIn signals); private organizations may return sparse results. Requires Claude Code; the system does not work with standard Claude chat.

Key Features

5 Parallel Agents

Company research, contact discovery, opportunity scoring, competitive analysis, and outreach strategy run simultaneously for instant 360-degree prospect intelligence.

Composite Prospect Scoring

Weighted scores (0-100) combining fit (25%), contact access (20%), opportunity quality (20%), competitive position (15%), and outreach readiness (20%).

BANT + MEDDIC Qualification

Automated lead scoring using both frameworks to assess budget, authority, need, timeline, and buying process maturity.

Decision Maker Mapping

Identifies C-suite, technical champions, and economic buyers from public signals and team pages.

Ready-to-Send Email Sequences

Generates 5-email cold, warm, and referral sequences personalized with company research and prospect pain points.

Tools in this Blueprint

Claude logo
4.7(315 reviews)
WebFetch
Crunchbase logo
CrunchbaseView on G2 ↗
4.5(402 reviews)
LinkedIn Learning logo
LinkedIn LearningView on G2 ↗
4.4(686 reviews)

About This Blueprint

License
MIT
Industry
Sales & Revenue Operations
Skills
1 workflows, 0 sub-skills, 13 standalone