enrich

Aggregate web, social, and internal data into structured professional dossiers.

45|11|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/beyonai/ByClaw --skill enrich-beyonai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: enrich
Source: https://github.com/beyonai/ByClaw/tree/main/middleware/openclaw/skills/gbrain/references/enrich
Command: npx skills add https://github.com/beyonai/ByClaw --skill enrich-beyonai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the problem of fragmented and shallow information about professional contacts by automating the creation of comprehensive, high-texture intelligence dossiers.

Core Features & Use Cases

  • Tiered Enrichment: Automatically scales research effort based on the entity's importance, from deep-dive dossiers to quick social lookups.
  • Contextual Synthesis: Compiles facts, beliefs, motivations, and relationship history into structured brain pages with bidirectional linking.
  • Use Case: When preparing for a high-stakes meeting, use this Skill to aggregate a prospect's career trajectory, current projects, and recent public statements into a single, actionable intelligence page.

Quick Start

Use the enrich skill to create a comprehensive dossier for the person mentioned in the latest meeting transcript.

Frequently Asked Questions about enrich

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

FAQPage Schema
How do I build intelligence dossiers for people and companies?

Yes, you can automate CRM enrichment by scaling research effort based on an entity's importance. The system automatically compiles professional intelligence, career trajectories, and public statements into structured, cross-linked dossiers.

What is the best way to synthesize professional intelligence before a high-stakes meeting?

Intelligence dossiers require integration with search APIs and internal brain storage. These integrations maintain consistent, cited, and cross-linked entity pages by aggregating web, social, and internal data sources.

Does this dossier enrichment approach work with internal knowledge management systems?

Yes, dossier enrichment works with internal knowledge management by facilitating the creation of structured brain pages. These pages feature bidirectional linking to connect timelines, belief systems, and relationship history across your existing storage.

Can I scale research effort based on the importance of a contact or company?

Yes, tiered enrichment automatically scales research effort based on entity importance. This ranges from deep-dive dossiers for high-stakes targets to quick social lookups for less critical contacts.

What are the limitations of automating professional intelligence aggregation?

The main limitation of automating intelligence aggregation is the dependency on external search APIs and internal brain storage. Without these integrations, the system cannot maintain consistent, cited, and cross-linked entity pages.