Experimental Design skills and workflows surfaced by the site skill importer.
by alirezarezvani
research-ops-skills is a lightweight Research Operations orchestrator for routing clinical research planning, R&D finance, market research, and product/user research requests. Use it to classify workstreams, gather missing inputs, and produce executive-style digests from a single SKILL.md.
by alirezarezvani
clinical-research helps teams design prospective clinical studies before submission, with endpoint classification, two-arm sample size and power estimates, and feasibility phase-gate scoring. It includes Python tools, references, and a protocol synopsis template, while keeping outputs as estimates for clinician, biostatistician, and regulatory review.
by alirezarezvani
experiment-designer helps Product Management teams design A/B and feature experiments with testable hypotheses, metrics, sample-size planning, ICE prioritization, stopping rules, and result interpretation.
by alirezarezvani
ab-test-setup is a marketing experimentation skill for planning statistically sound A/B tests. Use it to define hypotheses, variants, primary and guardrail metrics, sample size assumptions, duration, decision rules, and pre-launch QA for conversion experiments.
by alirezarezvani
senior-data-scientist is a Claude skill for A/B test design, causal reasoning, feature engineering, and tabular ML evaluation. Use it to guide sample sizing, metric choice, leakage checks, SHAP review, and MLflow-style tracking; scripts are scaffold templates, not complete engines.
by phuryn
brainstorm-experiments-new helps Product Management teams design lean startup validation experiments for a new product idea. It creates an XYZ hypothesis and suggests low-effort tests like landing pages, explainer videos, email campaigns, pre-orders, waitlists, and concierge MVPs to validate demand before building.
by phuryn
brainstorm-experiments-existing helps you design low-effort experiments for an existing product, including prototypes, fake-door tests, A/B tests, technical spikes, Wizard of Oz flows, and behavioral surveys. Use it to validate assumptions, reduce risk, and decide what to build next. This brainstorm-experiments-existing guide is built for practical product validation and Workflow Automation support.
by phuryn
ab-test-analysis helps you evaluate A/B test results with statistical rigor, including sample size validation, confidence intervals, significance testing, and ship/extend/stop recommendations. Use it for experiment review, split-test interpretation, and decision-making for Data Analysis workflows.
by Eronred
ab-test-store-listing helps you plan and run App Store product page tests to improve Conversion. Use it to evaluate icons, screenshots, and preview video with Apple Product Page Optimization, understand PPO limits, and prepare the right App ID, traffic, and test hypothesis before you start.
by K-Dense-AI
scientific-brainstorming is a research ideation skill for open-ended scientific thinking. Use it to explore interdisciplinary links, challenge assumptions, identify research gaps, and shape early-stage project ideas before you have a tight dataset or final hypothesis.
