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RelevanceAI
RelevanceAIOFFICIAL
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managing-relevance-tools

Manage the full lifecycle of Relevance AI tools within MCP-enabled projects.

1|Updated Mar 12, 2026
Search Tags:#automation#oauth#MCP#transformations#version-control#tool-management#studio
One-click install
npx skills add https://github.com/RelevanceAI/agent-skills --skill managing-relevance-tools
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: managing-relevance-tools
Source: https://github.com/RelevanceAI/agent-skills/tree/main/reference/managing-relevance-tools
Command: npx skills add https://github.com/RelevanceAI/agent-skills --skill managing-relevance-tools

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manages the full lifecycle of Relevance AI tools (studios), from initial setup to ongoing maintenance, ensuring predictable deployment, governance, and recoverability across teams.

Core Features & Use Cases

  • Create and configure tools (studios) with transformations, state mappings, and metadata
  • Configure OAuth accounts and secure credentials for integrations
  • Run, test, and debug tool workflows, including version history and recovery
  • Use MCP tooling to discover, clone, and publish tools within projects

Quick Start

Create a new tool with a title, description, params_schema, transformations, and optional state_mapping to begin using it.

Frequently Asked Questions about managing-relevance-tools

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

FAQPage Schema
How do I automate tool creation and configuration for Relevance AI studios?▼

Automate tool creation by defining a title, description, params_schema, transformations, and optional state_mapping. This establishes the foundational configuration for Relevance AI studios.

How does OAuth setup work for Relevance AI tool integrations?▼

OAuth setup for Relevance AI tools involves configuring OAuth accounts and securing credentials for integrations. This process is managed end-to-end to ensure safe connectivity across your tool workflows.

Can I use MCP to discover and publish tools within my projects?▼

Yes, MCP tooling supports discovering, cloning, and publishing tools within projects. Discovery is specified via SKILL.md frontmatter containing the tool's name and description.

What is the best way to manage version control and recovery for tool workflows?▼

Manage version control and recovery by running, testing, and debugging tool workflows. The system tracks version history, enabling predictable deployment and recoverability across your team's tools.

What safety checks are enforced during tool management?▼

Safety checks for toxicity and dependencies are enforced during tool management. These checks ensure secure and stable operation across tool creation, configuration, and execution workflows.

Do I need specific directory structures to manage Relevance AI tools?▼

Specific directory structures are optional but supported, including scripts/, references/, and assets/ directories. These help organize components alongside the required SKILL.md frontmatter for discovery.

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