agent-tuning
Optimize ElevenLabs conversational AI agents for real estate applications. Use when creating new agents, improving conversation quality, selecting voices, engineering system prompts, configuring agent parameters, or analyzing agent performance metrics. Includes voice selection, model tuning, prompt engineering, and A/B testing strategies.
npx skills add majiayu000/claude-skill-registry --skill agent-tuning --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Agent Tuning Skill Expert guidance for optimizing ElevenLabs Conversational AI agents for **Next Level Real Estate** platform. This skill provides systematic approaches to agent configuration, performance optimization, and continuous improvement. ## When to Use This Skill Invoke this skill when you need to: - ✅ Create a new conversational AI agent - ✅ Select the optimal voice for an agent - ✅ Craft or improve system prompts - ✅ Configure agent parameters (latency, turn-taking, language) - ✅ Design conversation flows for real estate use cases - ✅ Set up A/B testing for agent optimization - ✅ Analyze agent performance and identify improvements - ✅ Update knowledge bases with successful patterns ## Agent Configuration Framework ### 1. Define Agent Purpose Every agent needs a clear, specific purpose: **Good Examples:** - "Qualify wholesale leads within 3 minutes by assessing motivation, timeline, and property condition" - "Follow up with warm leads who haven't responded in 7 days, re-engage and schedule viewing" - "Conduct market research calls to gather intel on neighborhood pricing and seller motivations" **Bad Examples:** - "Talk to leads" (too vague) - "Do real estate stuff" (no
- When to Use This Skill
- Agent Configuration Framework
- 1. Define Agent Purpose
- 2. Voice Selection Process
- 3. Model Selection
- 4. System Prompt Engineering
- 5. Parameter Configuration
- 6. Knowledge Base Integration
- Conversation Flow Design
- Lead Qualification Flow
- Error Recovery Patterns
- A/B Testing Framework
- Test Design
- What to Test
Use MCP tool to browse voices Use mcp__elevenlabs__elevenlabs_list_voices with filters: Get voice details with preview URL Use mcp__elevenlabs__elevenlabs_get_voice with:
What does the agent-tuning skill do?
Optimize ElevenLabs conversational AI agents for real estate applications. Use when creating new agents, improving conversation quality, selecting voices, engineering system prompts, configuring agent parameters, or analyzing agent performance metrics. Includes voice selection, model tuning, prompt engineering, and A/B testing strategies.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill agent-tuning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.