prompt-lab

What problem does it solve?

Prompt Lab helps teams systematically test and improve agent instructions by running structured experiments, collecting evidence, and turning findings into reusable patterns to guide prompt design.

Core Features & Use Cases

• Experiment-driven testing: Supports compliance, decay, adversarial, comparison, and reinforcement tests to reveal how prompts behave under different scenarios.
• Evidence-based analysis: Provides a structured framework (Observation → Measurement → Diagnosis → Prescription → Verification) to quantify results and drive improvement.
• Knowledge capture & reuse: Documents findings as case studies, patterns, and templates to accelerate future prompt work across teams.

Quick Start

Start by selecting a Skill unit (e.g., this one) and run a simple decay or compliance test using the provided templates. Design your task, embed the instruction, and record results with the standard YAML templates. Review the consolidated findings to iterate on prompt design.