Marketing Mix Model expert agent plugin for Claude Code - pymc-marketing v0.18.2+
Agent
Use this agent for any Marketing Mix Model (MMM) work — scoping and planning an MMM engagement, auditing and preparing data, designing model architecture and priors, building and fitting models, diagnosing convergence or attribution problems, interpreting contributions and ROAS, optimising budget, designing…
Agent
Specialist sub-agent for MMM diagnostics. Assesses convergence, fit, generalisation, baseline health, prior-to-posterior learning and attribution plausibility for a fitted run, and reports whether the results are safe to act on. Invoked by agent-mmm for review and debugging work.
Agent
Specialist sub-agent for the MMM iterative improvement loop. Runs the tournament of model variants, scores each run, and applies posterior-informed prior tightening to refine the best model. Invoked by agent-mmm when the task is improving or optimizing an existing MMM.
Agent
Specialist sub-agent for MMM model construction and fitting. Compiles a spec into a framework, generates priors, runs the prior-predictive → calibrate → fit → posterior-predictive pipeline, and saves run artefacts. Invoked by agent-mmm for build and fit work.
Agent
Specialist sub-agent for generating stakeholder-specific MMM reports. Produces CMO, CFO, Marketing Ops, and Data Science reports from fitted model results. Handles target-unit-aware framing (CPA vs ROAS, monetary vs acquisition). Invoked by agent-mmm when the task is report generation or results presentation.