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closedloop:synthetic-customer

Official

Talk to customers as authentic AI personas.

Content & Communication#mcp#crm#persona#transcripts#synthetic-customer#public-research#conversation-synthesis
Authorclosedloop-ai-org
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Talk to customers or segments as AI personas grounded in real data — call transcripts, product feedback, CRM profiles, and public research. The persona knows what they said, how they talk, what frustrates them, and what they care about. Use when validating features, preparing for calls, understanding a customer's perspective, or testing messaging.

Core Features & Use Cases

  • Build authentic customer personas from actual conversations and data.
  • Validate features, prepare for calls, and test messaging with grounded insights from real customers.
  • Explore segment-level personas for Enterprise cohorts or treat each company individually.

Quick Start

Build a synthetic customer persona by loading relevant transcripts, CRM data, and public information, then ask the AI to adopt that persona for a given entity.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: closedloop:synthetic-customer
Download link: https://github.com/closedloop-ai-org/claude-code-skills/archive/main.zip#closedloop-synthetic-customer

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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