prospect-enrichment

Name: prospect-enrichment
Availability: InStock
Author: Saleshandy

Design AI enrichment columns and persist a plan to enrichment-plan.md.

1|Updated Apr 28, 2026

Search Tags:#personalization #ai #outreach #enrichment #lead-enrichment #prospects

Ready to run

npx skills add https://github.com/saleshandy/outreach-superpower --skill prospect-enrichment

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: prospect-enrichment
Source: https://github.com/saleshandy/outreach-superpower/tree/main/skills/prospect-enrichment
Command: npx skills add https://github.com/saleshandy/outreach-superpower --skill prospect-enrichment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automate the design of AI enrichment columns to personalize outbound outreach at scale, persist the plan to enrichment-plan.md, and gate execution behind explicit confirmation.

Core Features & Use Cases

Design AI-powered personalization columns that generalize across segments and ICPs.
Persist a concrete enrichment plan to enrichment-plan.md and reuse it to guide MCP executions.
Supports plan-only mode or full MCP execution with per-column overwrite safeguards, test runs, and cost visibility.

Quick Start

Open Claude and run prospect-enrichment for your outreach workspace to design AI enrichment columns for the default campaign.

Frequently Asked Questions about prospect-enrichment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I personalize outbound outreach at scale using AI?▼

You can personalize outreach at scale by designing AI enrichment columns that generalize across segments. The skill generates personalization plans based on your leads and ideal customer profile, persisting the configuration to enrichment-plan.md.

What is AI lead enrichment and how does it work for sales campaigns?▼

AI lead enrichment designs custom columns to personalize outbound messaging for your prospects. It operates on your leads list and ICP definition to automatically generate tailored outreach contexts and persist them to a markdown plan.

Can I run a test enrichment before executing the full AI personalization plan?▼

Yes, you can run test executions before full deployment. The skill supports both plan-only mode and full MCP execution with test runs, ensuring you can validate personalization columns safely with cost visibility.

Do I need an ICP definition to automate prospect enrichment?▼

Yes, an ICP definition is required. The skill uses inputs from your outreach workspace, specifically leads.md and icp.md files, to design AI enrichment columns that tailor the tone and personalize messaging for your prospects.

How do I overwrite specific enrichment columns during execution?▼

You can apply explicit per-column overwrite rules during MCP execution. This safeguard allows you to manually adjust specific AI-generated personalization fields while keeping the rest of the enrichment plan intact.

What is the best way to manage enrichment costs for large prospect lists?▼

The best way to manage costs is using the plan-only mode to review your enrichment columns first, followed by targeted MCP test runs. This provides explicit cost visibility before executing full personalization across all leads.