eval-loop

Diagnose quality issues, set targets, and verify fixes iteratively.

104|31|Updated Dec 10, 2025
One-click install
npx skills add https://github.com/jacob-dietle/context-os --skill eval-loop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: eval-loop
Source: https://github.com/jacob-dietle/context-os/tree/main/.claude/skills/eval-loop
Command: npx skills add https://github.com/jacob-dietle/context-os --skill eval-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides systematic diagnosis and iterative fixing for quality problems in UX, data, architecture, and features, ensuring high-quality outcomes.

Core Features & Use Cases

  • Quality Diagnosis: Identifies root causes of quality issues.
  • Target Setting: Defines measurable targets with automated backpressure.
  • Iteration Loop: Continuously improves quality through iterative fixes and verifications.
  • Use Case: Use this Skill when shipping a new feature and needing to ensure its quality meets a high standard.

Quick Start

Run the eval-loop skill with the command 'eval-loop start' to begin the process.

Frequently Asked Questions about eval-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I systematically diagnose and fix software quality issues in features?

To diagnose quality issues, use an iterative loop of root cause analysis, measurable target setting, and verification. This systematic approach handles UX, data, architecture, and feature development problems to ensure high-quality outcomes.

What is the best way to ensure product quality iteratively when shipping new features?

Ensuring product quality iteratively requires continuous fixing and verification cycles. This approach sets measurable targets and applies backpressure validation to maintain high standards during feature development.

How does root cause analysis work for UX and architecture defects?

Root cause analysis for UX and architecture defects requires manual diagnosis within an iterative evaluation loop. It identifies underlying issues, sets measurable targets, and verifies fixes to drive iterative improvement.

Do I need manual diagnosis to automate quality assurance for software development?

Yes, automating quality assurance requires manual diagnosis to identify root causes and backpressure validation. The iterative loop then systematically targets and verifies fixes for data and architectural problems.

When should I use an iterative improvement loop for product quality?

Use an iterative improvement loop when shipping a new feature and needing to ensure its quality meets a high standard. It systematically manages UX, data, architecture, and feature development problems through continuous verification.