enrich

Synthesize external web data and internal knowledge into professional entity dossiers.

Updated Jun 10, 2026
One-click install
npx skills add https://github.com/starlink-awaken/omostation-gbrain --skill enrich-starlink-awaken
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: enrich
Source: https://github.com/starlink-awaken/omostation-gbrain/tree/main/skills/enrich
Command: npx skills add https://github.com/starlink-awaken/omostation-gbrain --skill enrich-starlink-awaken

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of fragmented and shallow knowledge 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 to your work.
  • Contextual Synthesis: Combines web research, social signals, and internal brain data to create a unified view of a person or company.
  • Use Case: When you meet a new potential partner, use this skill to generate a profile that includes their career trajectory, current projects, and your shared network, ensuring you are fully prepared for the conversation.

Quick Start

Use the enrich skill to create a comprehensive profile 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 intelligent dossiers on people and companies?

To build intelligent dossiers, this skill synthesizes external web data and internal knowledge base context to automate research and documentation of professional entities. It combines web research, social signals, and internal brain data to create a unified view for CRM management and networking preparation.

Can I automate CRM enrichment using web research and internal brain storage?

Yes, you can automate CRM enrichment by integrating search APIs and internal brain storage. The skill maintains bidirectional links and timeline entries, ensuring your CRM management and networking intelligence gathering processes are fully synchronized with external web data.

What is the best way to prepare networking intelligence for new business partners?

The best way to prepare networking intelligence is to use tiered enrichment to scale research effort based on the entity's importance. It contextualizes career trajectory, current projects, and shared network data from internal and external sources to ensure you are fully prepared for business development conversations.

Does this professional entity research skill work without external dependencies?

No, this professional entity research requires integration with search APIs and internal brain storage to function properly. These dependencies are essential for synthesizing external web data and maintaining bidirectional links with your internal knowledge base.

How do I generate a comprehensive profile from a meeting transcript?

To generate a comprehensive profile from a meeting transcript, use the skill to extract the mentioned person's entity data. It then synthesizes web research, social signals, and internal brain data to create a high-texture intelligence dossier with career trajectory and shared network context.

Are there limitations when scaling research effort for professional entity intelligence gathering?

A limitation of scaling research effort for intelligence gathering is the reliance on tiered enrichment, which automatically adjusts depth based on entity importance. Extremely high volumes of contacts may require careful API integration management to avoid rate limits during web data synthesis.