agent-tuning

Community

Optimize AI agents for peak performance.

Authoronesmartguy
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill guides you through optimizing ElevenLabs conversational AI agents for real estate, ensuring they achieve specific business objectives, sound natural, and perform efficiently. It helps you maximize conversion rates and user satisfaction by fine-tuning every aspect of your AI agent.

Core Features & Use Cases

  • Voice & Model Selection: Choose optimal voices and models (e.g., eleven_flash_v2_5 for low latency) for your target audience.
  • System Prompt Engineering: Craft detailed, effective prompts with clear objectives, guidelines, and constraints to guide agent behavior.
  • Parameter Configuration: Tune interruption sensitivity, response latency, and max duration for natural, human-like conversations.
  • A/B Testing & Performance Analysis: Design experiments, track KPIs (qualification rate, sentiment), and continuously improve agent performance.

Quick Start

Help me tune my ElevenLabs agent for lead qualification. Suggest a professional voice, draft an effective system prompt, and configure optimal parameters for low latency and natural turn-taking.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: agent-tuning
Download link: https://github.com/onesmartguy/next-level-real-estate/archive/main.zip#agent-tuning

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository