Self-Improving Agent
Overview
Agent-quality improvement workflow that analyses conversations, identifies improvement opportunities, and helps optimise response strategies over time.
Key Features
- Reviews conversation quality signals
- Identifies improvement opportunities from agent outputs
- Supports iterative response-strategy tuning
- Keeps optimisation grounded in observed interactions
Use Cases
- Operators improving support or workflow agents
- Teams reviewing response consistency over time
- Builders creating feedback loops for agent behaviour
Requirements
- OpenClaw workspace
- Conversation logs or review data supplied by the operator
- Human review for changes to production behaviour
Getting Started
After purchase, download and extract the skill package, then copy it into your OpenClaw skills directory.
cp -r self-improving-agent/ ~/.openclaw/workspace/skills/Documentation
Full usage notes are included with the skill package. Check the bundled SKILL.md and scripts for exact commands and configuration.
Support
Have questions? Visit GetAgentIQ.ai for documentation and support channels.