comprehensive-enrichment

Detect input type and enrich person and company data from identifiers.

12|4|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/orthogonal-sh/skills --skill comprehensive-enrichment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: comprehensive-enrichment
Source: https://github.com/orthogonal-sh/skills/tree/main/skills/orthogonal-comprehensive-enrichment
Command: npx skills add https://github.com/orthogonal-sh/skills --skill comprehensive-enrichment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enrich any person or company from any identifier — email, name, LinkedIn URL, domain, company name, Twitter/X handle. Use when asked to enrich, look up, or research a lead, contact, person, or company.

Core Features & Use Cases

  • Detect input type and route enrichment for person and company data
  • Run parallel enrichment across multiple sources and auto-cascade company enrichment when employer is identified
  • Compile and normalize results into a unified profile with source labels and verification status

Quick Start

Provide an identifier (e.g., email, LinkedIn URL) and I will return a full person and company enrichment report.

Frequently Asked Questions about comprehensive-enrichment

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

FAQPage Schema
How do I enrich lead data from an email or LinkedIn URL?

To enrich lead data, provide any identifier like an email, name, or LinkedIn URL, and the system detects the type to route parallel enrichment workflows. It returns a unified person and company profile with verification status.

Can I enrich both person and company data from a single Twitter handle?

Enriching person and company data from a Twitter handle cascades automatically. When the employer is identified from the person profile, it triggers parallel company enrichment workflows to compile a unified report.

What is the best way to look up a contact using just a name and domain?

Looking up a contact from a name and domain triggers multi-source parallel enrichment. It cross-references both identifiers to verify accuracy, auto-cascading company enrichment to produce a normalized output.

Does data enrichment work with any identifier type for B2B prospecting?

Data enrichment for B2B prospecting supports any identifier type including email, name, LinkedIn URL, domain, company name, or Twitter handle. It applies comprehensive workflows and multi-source fusion for accurate results.

How does multi-source enrichment handle data accuracy and verification?

Multi-source enrichment handles data accuracy by running parallel workflows, cross-referencing results, and applying verification statuses. It normalizes findings into a structured output with clear source labels.