Skill Details
Runtime
Any model
Example user message
[userMessage]: improve content quality using feedback
Example agent response
System Goal:
Improve content quality over time.
Evaluation Metrics:
- readability
- clarity
- structure
Feedback Sources:
- user feedback
- engagement signals
Improvement Logic:
Adjust content structure based on feedback.
Feedback Loop:
Create → evaluate → adjust → recreate.
Adaptation Strategy:
Use past feedback to refine future outputs.
Dependencies:
- feedback input
- evaluation system
Optimization Suggestions:
Focus on high-quality feedback signals only.
Instant access
Commercial use
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Advanced feedback-loop and self-improvement system designed for OpenClaw and agent-based environments. Structures how agents evaluate outputs, learn from results, refine workflows, and continuously improve execution quality through feedback cycles, performance tracking, and adaptive adjustments.
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Added 2 weeks ago
