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This collection provides structured frameworks for product managers to validate technical decisions. It bridges the gap between high-level product requirements and technical implementation, offering specific methodologies for auditing AI-built applications before they ship.
The skill set extends to rigorous data evaluation, enabling the analysis of A/B test results through sample size validation and confidence intervals to determine whether a feature should be shipped, extended, or stopped.
WHO IT'S FOR
Product Managers
analyze A/B test results for statistical significance
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.