Mixseek Evaluator Config
This skill configures Mixseek’s evaluator to prioritize specific criteria, ensuring more relevant and accurate search results for your music needs.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add mixseek-evaluator-config npx -- -y @trustedskills/mixseek-evaluator-config
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"mixseek-evaluator-config": {
"command": "npx",
"args": [
"-y",
"@trustedskills/mixseek-evaluator-config"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The mixseek-evaluator-config skill allows you to configure and manage evaluation settings for MixSeek, a tool designed to improve AI agent performance. It provides control over how agents are assessed, enabling customization of scoring metrics and thresholds. This facilitates fine-tuning agent behavior and ensuring desired outcomes in various applications.
When to use it
- Customizing Agent Scoring: When you need to adjust the criteria used to evaluate an AI agent's performance beyond default settings.
- Defining Success Thresholds: To set specific benchmarks for agent actions, triggering alerts or adjustments when those thresholds aren’t met.
- Experimenting with Evaluation Metrics: When testing different evaluation methods to determine which best reflects desired agent behavior.
- Integrating with Existing Systems: To align agent evaluations with existing monitoring and reporting infrastructure.
Key capabilities
- Configuration of scoring metrics
- Setting performance thresholds
- Customization of evaluation criteria
- Integration with MixSeek framework
Example prompts
- "Set the 'completion_rate' metric threshold to 0.8."
- "Configure the evaluator to prioritize 'accuracy' over 'speed'."
- "What are the currently configured evaluation metrics?"
Tips & gotchas
This skill requires a working installation of MixSeek. Ensure that your agent is properly integrated with the MixSeek framework before attempting to configure its evaluation settings.
Tags
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