Yakoub AI Plugins — Claude Code Marketplace

A Claude Code plugin marketplace with production-ready AI agents, skills, and tools.

Plugins

agent-mmm — Marketing Mix Model Framework

A complete MMM framework built on pymc-marketing v0.19.1+. Goes from raw CSV to stakeholder-ready reports with automated data auditing, Bayesian prior recommendation, iterative model improvement, and four stakeholder report formats.

Agents: agent-mmm (orchestrator), mmm-modeler, mmm-diagnostician, mmm-improver, mmm-reporter

Commands: /mmm-intake, /mmm-intake-quick, /mmm-analyze-data, /mmm-recommend-controls, /mmm-recommend-priors, /mmm-build, /mmm-fit, /mmm-diagnose, /mmm-improve, /mmm-report, /mmm-status

Skills: data quality, model building, diagnostics, attribution, budget optimization, API reference, intake questionnaire, GF/BF guide, external factors catalog, iterative improvement, stakeholder reporting, target units, multi-geo panel

Installation

Method 1 — Interactive (recommended)

1. Open Claude Code and type /plugins
2. Go to the Marketplaces tab → + Add Marketplace
3. Enter: https://github.com/Yakoub-ai/agent-mmm
4. Go to Discover → find agent-mmm → Install for you (user scope)
5. Restart Claude Code

Method 2 — Project-level (for teams)

Add to your project's .claude/settings.json:

{
  "extraKnownMarketplaces": {
    "yakoub-ai-plugins": {
      "source": {
        "source": "git",
        "url": "https://github.com/Yakoub-ai/agent-mmm"
      }
    }
  },
  "enabledPlugins": {
    "agent-mmm@yakoub-ai-plugins": true
  }
}

Requirements

• Claude Code with plugin support
• Python 3.11+ (for agent-mmm library)
• pymc-marketing >= 0.19.1