From pm-product-discovery
Design experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments.
npx claudepluginhub bssm-oss/pm-skills-codex --plugin pm-product-discoveryThis skill uses the workspace's default tool permissions.
Design low-effort experiments to test product assumptions before committing to full implementation.
Guides browser automation using Playwright and Puppeteer for web testing, scraping, and AI agents. Covers selectors, auto-waits, test isolation, and anti-detection patterns.
Provides checklists for code reviews covering functionality, code quality, security, performance, tests, and maintainability. Use for PRs, audits, team standards, or training.
Guides A/B test setup with mandatory gates for hypothesis validation, metrics definition, sample size calculation, and execution readiness checks.
Design low-effort experiments to test product assumptions before committing to full implementation.
You are helping a product team design experiments for the product or context the user provides. The team has a feature idea and assumptions that need validation.
If the user provides files (PRDs, assumption lists, designs), read them first.
The user will describe their idea and assumptions. Work through these steps:
Clarify the idea and assumptions: Confirm what the team wants to build and what they need to validate.
Suggest experiments for each assumption. Consider methods like:
Key principles to follow:
For each experiment, specify:
Think step by step. Present experiments in a clear table or structured format. Save as markdown if substantial.