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RelevanceAI
RelevanceAIOFFICIAL
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agent-optimiser

Analyze Relevance AI agents to identify configuration issues and optimize cost efficiency.

2|1|Updated May 1, 2026
Search Tags:#performance#optimization#agent#mcp#diagnostic#credit
One-click install
npx skills add https://github.com/RelevanceAI/relevance-builder-kit --skill agent-optimiser
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-optimiser
Source: https://github.com/RelevanceAI/relevance-builder-kit/tree/main/.claude/skills/agent-optimiser
Command: npx skills add https://github.com/RelevanceAI/relevance-builder-kit --skill agent-optimiser

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables users to diagnose performance issues, cost inefficiencies, and configuration problems within Relevance AI agents and workforces, facilitating targeted improvements.

Core Features & Use Cases

  • Agent Analysis: Summarize agent configurations, identify misconfigurations, and detect inefficient practices.
  • Usage Breakdown: Provide insights into credit spending, tool utilization, and error rates over specified periods.
  • Optimization Recommendations: Suggest specific configuration and prompt adjustments to reduce cost and improve reliability.
  • Example: Audit an agent performing slow customer support responses, identify excessive tool calls, and recommend prompt improvements to streamline interactions.

Quick Start

Input the agent name or ID to begin the diagnosis process and review the detailed analysis report.

Frequently Asked Questions about agent-optimiser

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

FAQPage Schema
How do I diagnose poor performance and high credit costs in my AI agents?▼

You can diagnose performance issues and cost inefficiencies by analyzing agent configurations, usage breakdowns, and error rates. This process identifies misconfigurations and provides targeted recommendations to optimize cost efficiency and improve reliability.

What is the best way to optimize Relevance AI agent configurations for cost efficiency?▼

The best way to optimize Relevance AI agent configurations for cost efficiency is to audit usage breakdowns and apply targeted prompt adjustments. This reduces excessive tool calls and streamlines interactions to lower credit spending.

How do I identify misconfigurations causing slow customer support responses in AI agents?▼

To identify misconfigurations causing slow customer support responses, analyze agent tool utilization and error rates. This diagnostic approach detects excessive tool calls and recommends specific prompt improvements to streamline interactions.

Do I need native MCP tools to perform agent health assessments and tuning?▼

Yes, you need access to native MCP tools and agent configuration data to perform agent health assessments and tuning. This access allows the diagnostic process to evaluate any connected project requiring performance optimization.

Can I audit credit spending and tool utilization for my AI workforces over a specific period?▼

Yes, you can audit credit spending and tool utilization for AI workforces over a specified period. The analysis provides detailed insights into usage breakdowns and error rates to facilitate targeted improvements.

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