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Ai Marketing Claude

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 About Ai Marketing Claude

AI Marketing Suite for Claude Code. 15 marketing skills with parallel subagents — audit any website, generate copy, email sequences, ad campaigns, content calendars, competitive intelligence, and client-ready PDF reports.

Platforms

Web Self-hosted

Languages

Python

Links

Website Source Code

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Ai Marketing Claude

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AI Marketing Toolkit for Claude Code

telegram-cloud-document-4-5965526453918374200

License: MIT Claude Code Python

A production-grade marketing operations toolkit for Claude Code: 12 skills, 5 specialist subagents, 4 Python scripts, and 6 templates that turn Claude into a full marketing team.

Runs natively in Claude Code. Everything is routed through one command — /market — with subcommands for audits, CRO, SEO, copy, emails, social, ads, funnels, launches, proposals, and reports.

What you get

12 skills

Command Purpose
/market audit <url> Full 6-dimension audit with 5 parallel subagents → MARKETING-AUDIT.md
/market landing <url> Conversion rate optimization → LANDING-CRO.md
/market seo <url> On-page + technical + AI search (GEO) audit → SEO-AUDIT.md
/market brand <url> Voice, tone, archetype → BRAND-VOICE.md
/market competitors <url> Competitive intelligence + Wayback history → COMPETITOR-ANALYSIS.md
/market copy <page> Rewrite copy in brand voice
/market emails <type> Welcome, nurture, launch, cold, abandon, re-engage sequences
/market social <topic> Platform-native posts (X, LinkedIn, IG, TikTok, Shorts, Threads)
/market ads <product> Meta, Google, LinkedIn, TikTok ad copy
/market funnel <url> End-to-end funnel + GA4 event spec → FUNNEL-ANALYSIS.md
/market launch <product> 4-week launch orchestration → LAUNCH-PLAN.md
/market proposal <client> Client SOW with pricing calculator → PROPOSAL.md
/market report [--format pdf] <url> Consolidated client-ready report (Markdown or PDF)

5 subagents (used by /market audit in parallel)

  • market-content — content & messaging specialist
  • market-conversion — CRO specialist
  • market-technical — technical SEO specialist
  • market-competitive — competitive intelligence
  • market-strategy — brand, trust, and growth

4 scripts

  • analyze_page.py — HTML / SEO / schema / tracking extraction (stdlib only)
  • competitor_scanner.py — multi-URL positioning scan
  • social_calendar.py — pillar-based content calendar generator
  • generate_pdf_report.py — client-ready PDF via reportlab

6 templates

Welcome, nurture, and launch email sequences; content calendar; launch checklist; client proposal.

Install

curl -fsSL https://raw.githubusercontent.com/rediumvex/ai-marketing-claude/main/install.sh | bash

Or clone and run:

git clone https://github.com/rediumvex/ai-marketing-claude.git
cd ai-marketing-claude
./install.sh

This copies the skills, agents, scripts, and templates into ~/.claude/ so Claude Code can discover them.

PDF reports (optional)

pip3 install reportlab

Only needed if you use /market report --format pdf.

Quick start

# Full audit with all 5 specialists
/market audit https://example.com

# Just CRO
/market landing https://example.com/pricing

# Generate an email sequence in the detected brand voice
/market brand https://example.com      # run this first
/market emails welcome                  # matches the voice from BRAND-VOICE.md

# Final client deliverable
/market report --format pdf https://example.com

How it works

  1. Every skill is a Markdown file with YAML frontmatter that Claude Code reads to decide when to invoke it.
  2. The root market/SKILL.md is the router — it catches /market commands and hands off to the right specialist.
  3. The audit skill launches 5 subagents in parallel. Each scores its dimension and returns specific findings with quoted evidence.
  4. All artifacts land in the current project root (MARKETING-AUDIT.md, BRAND-VOICE.md, etc.) and downstream skills read them for context.
  5. The PDF report compiles everything into a client deliverable.

Scoring methodology

Weighted 6-category composite (0–100):

  • Content & Messaging — 25%
  • Conversion Optimization — 20%
  • SEO & Discoverability — 20%
  • Competitive Positioning — 15%
  • Brand & Trust — 10%
  • Growth & Strategy — 10%

Grades: 90+ A, 80+ B, 70+ C, 60+ D, <60 F.

Design principles

  • Evidence over opinion. Every finding quotes actual page copy.
  • Impact over activity. Fixes are ranked by traffic × expected CR lift × ARPU.
  • Specific over generic. Every recommendation includes a concrete rewrite.
  • Lean skills. Every skill fits under ~300 lines — no filler, no duplication.
  • Stdlib first. Scripts run without dependencies except the optional PDF generator.

License

MIT. Use it, modify it, ship it.