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agent-quality-flywheel

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Drive continuous agent quality from data.

Software Engineering#logs#agent#evaluation#quality#telemetry#traces#flywheel
Authorabhishekmmgn
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill creates a self-reinforcing workflow that turns production data into actionable improvements for AI agents, ensuring reliability and trust through measurable quality feedback loops.

Core Features & Use Cases

  • Four-step Flywheel: Define Quality, Instrument for visibility (logs and traces), Evaluate (Output and Reasoning) and Architect Feedback Loops.
  • Telemetry-driven Improvement: Use structured logs and traces to surface weaknesses, failures, and improvement opportunities.
  • Hybrid Evaluation: Combine scalable LLM-based judgments with Human-in-the-Loop for ground-truth validation and safety.
  • Regression-Oriented Feedback: Convert production failures into permanent regression tests and enrich the evaluation set.

Quick Start

Configure the four-step flywheel in your agent pipeline and begin instrumenting logs and traces to start collecting data.

Dependency Matrix

Required Modules

None required

Components

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-quality-flywheel
Download link: https://github.com/abhishekmmgn/skills/archive/main.zip#agent-quality-flywheel

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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