Sales Playbook
Published May 2026
14-skill AI sales system for Claude Code that researches prospects, qualifies leads, maps buyers, generates outreach, and closes deals faster.
Run this command to deploy the playbook to your environment.
Launch simultaneous research agents to audit a prospect across company fit, decision makers, opportunity, competitors, and outreach strategy.
Qualify opportunities using industry-standard frameworks that assess budget authority, need, timeline, and buying process maturity.
Identify decision makers, build org charts, find contact information, and discover personalization anchors for multi-threaded outreach.
Extract company overview, business model, funding, tech stack, growth signals, and market positioning from public sources.
Create copy-paste-ready email sequences for cold outreach, warm introductions, and referral approaches — all personalized to the specific prospect.
Generate meeting prep briefs with company context, talking points, discovery questions, objection responses, and a one-page cheat sheet.
Identify the prospect's current solutions, assess switching costs, find competitive gaps, and develop positioning angles against their existing vendor.
Create professional, deal-specific client proposals that incorporate company research, qualification data, competitive positioning, and custom pricing.
Sales teams waste hours on manual prospect research, lead qualification, and email writing. You need buyer intelligence fast, personalized outreach at scale, and proof-of-work before meetings. But gathering decision maker data, scoring BANT/MEDDIC, and creating personalized sequences takes days — not hours.
Step 1 using Claude
Step 2 using WebFetch
Step 3 using Crunchbase
Step 4 using LinkedIn Learning
Step 5 using HubSpot Sales Hub
Step 6 using Salesforce Sales Cloud
Step 7 using Notion
Step 8 using Slack
Type a single command in Claude Code and launch 5 parallel AI agents that simultaneously research the company, find decision makers, score the opportunity, map competitors, and generate your first outreach email. All results are aggregated into a scored, actionable analysis with a ready-to-send email sequence.
Turn any company URL into a complete sales strategy with buyer intel, BANT scores, and personalized outreach — in 60 seconds.
Python 3.8+ required for full PDF report generation. Web scraping depends on site structure — paywalled or heavily JavaScript-rendered sites may return limited data. Prospect scores are based on publicly available signals; results are accurate only to the depth of public company information available.
Requires Claude Code with WebFetch and Task tool support. Python dependencies (reportlab, beautifulsoup4, requests) are optional but recommended for PDF generation and enhanced parsing. Skills are installed to ~/.claude/ directory and are invoked via /sales commands.
Parallel Prospect Analysis
Launch 5 specialized agents simultaneously to research company fit, identify decision makers, score opportunity (BANT/MEDDIC), analyze competitors, and develop outreach strategy.
Weighted Prospect Scoring
0-100 composite score weighted across company fit (25%), contact access (20%), opportunity quality (20%), competitive position (15%), and outreach readiness (20%).
Decision Maker Mapping
Automatically identify and profile the buying committee, detect org structure, find contact info, and surface personalization anchors for multi-threading.
Lead Qualification Frameworks
Built-in BANT (Budget, Authority, Need, Timeline) and MEDDIC (Metrics, Economic Buyer, Decision Criteria, Process, Pain, Champion) scoring engines.
Personalized Outreach Generation
Create cold, warm, and referral email sequences, meeting prep briefs, client proposals, and objection playbooks — all tailored to the specific prospect.
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