ab-testing plugins

by Wondel.ai

Marketing and conversion optimization skills including CRO methodology, StoryBrand messaging, Scorecard Marketing lead generation, viral marketing (Contagious), and 1-Page Marketing Plan

by Robson Tigre

Causal inference plugin: plan, implement, and stress-test causal analyses in R and Python.

by Matt Corbett

Applied-statistics team — a specialist agent (applied-statistician) that answers 'is this difference/trend statistically REAL?' for SMB consulting: which test to use (decision-tree-driven), A/B-test and experiment design (power/MDE, primary + guardrail metrics, pre-registered analysis plans), regression and time-series forecasting review, a causal-inference primer, statistical QA of dashboard metrics, and multiple-comparison correction (FWER vs FDR). skills, a knowledge bank (Mermaid trees for test-selection, parametric-vs-nonparametric, regression, causal, time-series, and multiplicity-correction; a pitfalls guardrail; experiment-design; tooling tiers; a causal primer), a scenarios bank, a stdlib calculator (stat_calc.py: sample-size, p-value correction, effect-size, CI), templates, and an advisory hook. Python-first (scipy / statsmodels / pingouin Tier 1; PyMC Tier 2). Seams with data-platform. Method-before-library; report effect size + CI. Requires ravenclaude-core@>=0.7.0.

by Matt Corbett

Experimentation & growth-engineering team — agents (experimentation-architect, feature-flag-engineer, product-analytics-instrumentation-engineer) for the APPARATUS that lets a team learn fast and ship safely: feature flags + progressive delivery (kill switches, targeting, flag lifecycle/debt), A/B-test plumbing (assignment, exposure logging, SRM checks, sequential-peeking guards, the results read), and trustworthy event instrumentation (a tracking plan, a consistent event schema, identity stitching, a CDP). The engineering of experimentation — statistical VALIDITY (power/MDE, significance) is applied-statistics'. skills, a decision-tree knowledge bank (flag-vs-config + ship-decision trees + a dated 2026 map), best-practices, templates, commands, an advisory hook. Seams: significance -> applied-statistics, hypothesis/outcome -> product-management, rollout -> devops-cicd, pipelines -> data-platform. Requires ravenclaude-core@>=0.7.0.

by Matt Corbett

Search & Relevance Engineering specialist team — agents (search-relevance-lead, relevance-tuning-analyst, indexing-mapping-specialist, query-performance-specialist), skills, templates, commands, an advisory hook, best-practice rules, and a research-grounded knowledge bank. A search team for a relevance engineer or platform lead accountable for search quality, latency, and conversion — it measures relevance with NDCG/MRR, treats analyzer/mapping decisions as relevance decisions, builds a judgment list before tuning, and validates online with A/B. Inherits ravenclaude-core protocols.