agile-agentic-analytics

Agile Agentic Analytics

A Claude Code plugin marketplace for agile agentic analytics.

Installation

Add this marketplace to Claude Code:

/plugin marketplace add weisberg/agile_agentic_analytics

Then browse and install plugins:

/plugin

Or install a specific plugin directly:

/plugin install <plugin-name>@agile-agentic-analytics

Available Plugins

A/B Testing

Install: /plugin install ab-testing@agile-agentic-analytics

Design, analyze, and review A/B tests with statistical rigor.

Component	Description
/ab-testing:design-experiment	Create structured experiment designs with hypothesis, metrics, and guardrails
/ab-testing:sample-size	Calculate required sample size and experiment duration
/ab-testing:analyze-results	Statistical analysis with SRM checks, effect sizes, and reproducible code
/ab-testing:experiment-report	Generate stakeholder-ready reports (technical or executive)
/ab-testing:review-experiment	Code review for assignment bugs, logging gaps, and bucketing leaks
statistician agent	Rigorous statistical analysis specialist
experiment-auditor agent	Systematic experiment lifecycle auditor

Marketing Analytics

Install: /plugin install marketing-analytics@agile-agentic-analytics

15 interconnected marketing analytics skills covering the full lifecycle from data extraction through compliance review.

P0 — Foundational

Skill	Description
/marketing-analytics:attribution-analysis	Bayesian MMM, multi-touch attribution, budget optimization
/marketing-analytics:experimentation	A/B testing, CUPED variance reduction, sequential testing
/marketing-analytics:paid-media	Cross-platform ad performance, anomaly detection, creative fatigue
/marketing-analytics:reporting	Executive dashboards, cross-skill synthesis, insight generation
/marketing-analytics:compliance-review	SEC/FINRA/FCA content screening for financial services

P1 — Strategic/Tactical

Skill	Description
/marketing-analytics:clv-modeling	BG/NBD, Gamma-Gamma, Bayesian CLV with confidence intervals
/marketing-analytics:audience-segmentation	RFM scoring, K-Means/DBSCAN clustering, cohort retention
/marketing-analytics:funnel-analysis	Multi-step funnels, bottleneck identification, revenue impact
/marketing-analytics:email-analytics	Deliverability, engagement (post-iOS 15), send-time optimization
/marketing-analytics:web-analytics	GA4 extraction, behavioral patterns, predictive audiences
/marketing-analytics:seo-content	Search Console, keyword tracking, AI search optimization (GEO)

P2 — Supporting

Skill	Description
/marketing-analytics:crm-lead-scoring	Predictive scoring, pipeline velocity, win/loss analysis
/marketing-analytics:social-analytics	Cross-platform social, sentiment analysis, share of voice
/marketing-analytics:competitive-intel	Keyword gap, ad creative monitoring, strategic synthesis
/marketing-analytics:voc-analytics	NPS/CSAT/CES, theme extraction, satisfaction-behavior correlation

Creating a Plugin

Each plugin lives in its own directory under plugins/. The minimum structure is:

plugins/my-plugin/
├── .claude-plugin/
│   └── plugin.json        # Plugin manifest (required)
├── skills/                 # Custom slash commands
│   └── my-skill/
│       └── SKILL.md
├── agents/                 # Custom subagents
│   └── my-agent.md
├── hooks/                  # Event handlers
│   └── hooks.json
├── .mcp.json               # MCP server configs
├── .lsp.json               # LSP server configs
├── settings.json           # Default settings
└── README.md

plugin.json

{
  "name": "my-plugin",
  "description": "What the plugin does",
  "version": "1.0.0",
  "author": {
    "name": "Your Name"
  },
  "license": "MIT"
}

After creating your plugin directory, register it in .claude-plugin/marketplace.json:

{
  "name": "my-plugin",
  "source": "./plugins/my-plugin",
  "description": "What the plugin does"
}

License

MIT