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RelevanceAI
RelevanceAIOFFICIAL
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managing-relevance-agents

Create, configure, run, and debug Relevance AI agents and workflows.

1|Updated Mar 12, 2026
Search Tags:#debugging#agents#mcp#triggers#tools#workflows#system-prompts
One-click install
npx skills add https://github.com/RelevanceAI/agent-skills --skill managing-relevance-agents
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: managing-relevance-agents
Source: https://github.com/RelevanceAI/agent-skills/tree/main/reference/managing-relevance-agents
Command: npx skills add https://github.com/RelevanceAI/agent-skills --skill managing-relevance-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables teams to create, configure, run, and debug Relevance AI agents by coordinating prompts, tools, and workflows in a centralized manner.

Core Features & Use Cases

  • Agent creation and configuration: define system prompts, memory, and actions; attach tools and triggers.
  • Tool orchestration: manage tool attachments, regions, and action behaviors across multi-tool workflows.
  • Debugging and testing: view conversations, verify tool outputs, and troubleshoot execution issues across environments.

Quick Start

Create a basic agent by merging a system prompt with a single tool, publish, and test with a trigger.

Frequently Asked Questions about managing-relevance-agents

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

FAQPage Schema
How do I configure and debug Relevance AI agents across different environments?▼

To create Relevance AI agents, merge a system prompt with a single tool, define actions with correct project and region fields, attach MCP tooling, publish, and test with a trigger.

What's the best way to orchestrate tools and triggers for agent workflows?▼

Orchestrate tools and triggers by managing tool attachments, regions, and action behaviors across multi-tool workflows, ensuring proper MCP tooling is attached and configured for your agents.

Why does my agent fail to execute tools correctly during workflow testing?▼

Agent tool execution fails when action definitions lack correct project and region fields, required MCP tooling is missing, or system prompts are improperly configured for the workflow.

Can I test agent conversations and verify tool outputs across staging and production?▼

Yes, you can view conversations, verify tool outputs, and troubleshoot execution issues across development, staging, and production environments to ensure agents perform correctly.

Do I need MCP tooling and system prompts to build agent-driven workflows?▼

Yes, proper system prompts and required MCP tooling are enforced when building agent-driven workflows, along with correct action definitions for project and region fields to ensure proper execution.

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