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Build AI-era enterprise sales playbooks for outreach and execution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "forward-deployed-selling" yet — see the docs or source repo.
Based on an AI-era enterprise sales doctrine, create a target-account outreach and closing playbook for a sales analytics platform, including the Foundation and 3×3 architecture, key actions, risk constraints, and execution cadence.
A structured enterprise sales plan covering account tiers, outreach paths, sales actions, and governance principles.
Convert this enterprise sales doctrine into executable operating rules for an AI agent, defining allowed behaviors, prohibited behaviors, hallucination constraints, ethical requirements, and the information needed at each step.
An agent-ready rulebook and process checklist for automating sales collaboration safely.
Review the following enterprise sales workflow against this doctrine, focusing on ethical boundaries, information accuracy, customer communication methods, and execution gaps, then provide corrective recommendations.
A compliance assessment with identified risks and actionable improvement recommendations.
Turn vague problems into structured intent specs for better product and engineering decisions.
Turn vague requests into structured expert prompts for better LLM outputs.
Access 172 production-ready Claude skills for building, marketing, design, and AI agents.
Build, test, deploy, and optimize Agentforce agents across the full lifecycle.
Generate architecture docs, ADRs, and review outputs for software design decisions.
Manage the full software lifecycle with spec-driven, state-aware engineering workflows.