managing-relevance-knowledge

Create and query knowledge tables with MCP tools for agent memory.

1|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/RelevanceAI/agent-skills --skill managing-relevance-knowledge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: managing-relevance-knowledge
Source: https://github.com/RelevanceAI/agent-skills/tree/main/reference/managing-relevance-knowledge
Command: npx skills add https://github.com/RelevanceAI/agent-skills --skill managing-relevance-knowledge

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Knowledge stores and access patterns are scattered across tools; this Skill provides a centralized interface to create, update, and query CRM-like knowledge tables for agents and workflows.

Core Features & Use Cases

  • Create knowledge tables and manage rows (add, update, delete)
  • Query and browse knowledge data for agent memory, leads, and research
  • Bulk updates and upserts to keep data synchronized with external systems

Quick Start

Create a new knowledge table and seed initial rows to bootstrap agent workflows.

Frequently Asked Questions about managing-relevance-knowledge

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

FAQPage Schema
How do I update rows in a knowledge table for agents?

Updating rows in a knowledge table requires MCP tools for row operations to modify existing agent memory or CRM data. The Skill ensures structured access to row data during single or bulk updates.

How do I store and retrieve agent memory for multi-agent workflows?

You can manage agent memory by organizing and querying CRM-like knowledge tables. This Skill provides a centralized interface to create, update, and query structured data for single agents or multi-agent workflows.

Can I perform bulk upserts to synchronize external systems with agent knowledge tables?

Yes, you can perform bulk updates and upserts to keep knowledge tables synchronized with external systems. This ensures structured access to row data remains consistent across your agent workflows.

Does querying knowledge tables support filters and pagination?

Querying knowledge tables supports filters and pagination to browse agent memory and research results. You can retrieve specific row data efficiently without loading entire datasets into your agent workflows.

How do I update rows in a knowledge table for agents?

Updating rows in a knowledge table requires MCP tools for row operations to modify existing agent memory or CRM data. The Skill ensures structured access to row data during single or bulk updates.