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.