Research Company Fit & Firmographics7 skills
Analyzes company size, industry, growth stage, and strategic positioning to score buyer fit.
Sales Blueprint
A bundle of 14 sales skills and 5 parallel agents for prospecting, qualification, outreach, and reporting inside Claude Code.
Run this command to deploy the blueprint to your environment.
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.
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.
Analyzes company size, industry, growth stage, and strategic positioning to score buyer fit.
Scores leads using sales qualification frameworks to assess budget, authority, need, timeline, and buying process maturity.
Identifies C-suite, technical champions, economic buyers, and stakeholders from public data.
Creates personalized cold, warm, and referral email sequences with multi-touch follow-up cadences.
Creates meeting briefs with talking points, discovery questions, and objection responses plus full client proposals.
Creates summary reports of all qualified prospects with pipeline metrics, win rates, and forecasting.
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.
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.
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.
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.