agent-tuning
CommunityOptimize AI agents for peak performance.
Product & Management#prompt engineering#ai agent#elevenlabs#conversational ai#voice selection#agent optimization#a/b testing
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_5for 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 requiredComponents
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.