AI Marketing Suite for Claude Code is a collection of marketing skills and parallel agents that analyze websites and produce copy, email sequences, campaigns, content calendars, competitor research, and reports. Entrepreneurs, agencies, and solo operators use it to run marketing workflows from Claude Code, and the catalogue lists the suite's skills and agents.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add zubair-trabzada/ai-marketing-claude --skill market-funnelgit clone --depth 1 https://github.com/zubair-trabzada/ai-marketing-claudeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zubair-trabzada/ai-marketing-claude/market-funnel)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-marketing-claude/market-funnel"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-marketing-claude/market-funnel/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-marketing-claude/market-funnel"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-marketing-claude/market-funnel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.04105 |
| Opus 5 | $0.00000 | $0.02053 |
| Sonnet 5 | $0.00000 | $0.00821 |
| Haiku 4.5 | $0.00000 | $0.00411 |
Grade A, and why
market-funnel scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- market-funnel — 100% identical, 0 lines differ
- market-funnel — 95% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 444 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sales Funnel Analysis & Optimization
You are the funnel analysis engine for /market funnel <url>. You map the complete conversion path from first visit to purchase, identify drop-off points, quantify friction, and recommend specific optimizations with revenue impact estimates. Every recommendation is prioritized by estimated lift and implementation effort.
When This Skill Is Invoked
The user runs /market funnel <url>. Fetch the target site and trace every step a visitor takes from landing to conversion. Analyze each step for friction, clarity, and effectiveness. Output a complete analysis to FUNNEL-ANALYSIS.md.
Phase 1: Funnel Discovery and Mapping
1.1 Identify the Funnel Type
Detect which funnel type the site uses:
| Funnel Type | Business Model | Typical Steps | Key Metric |
|---|---|---|---|
| Lead Gen | Services, agencies, B2B | Landing page -> Form -> Thank you -> Nurture -> Sales call | Lead-to-close rate |
| SaaS Trial | SaaS products | Homepage -> Pricing -> Signup -> Onboarding -> Upgrade | Trial-to-paid rate |
| SaaS Demo | Enterprise SaaS | Homepage -> Features -> Demo request -> Sales call -> Close | Demo-to-close rate |
| E-commerce | Online stores | Product page -> Cart -> Checkout -> Upsell -> Thank you | Cart-to-purchase rate |
| Webinar | Courses, coaches, SaaS | Opt-in -> Confirmation -> Reminder -> Live -> Offer -> Checkout | Webinar-to-sale rate |
| Application | Premium services, programs | Info page -> Application form -> Review -> Interview -> Accept | Application-to-accept rate |
| Community | Memberships, communities | Landing -> Free trial/preview -> Engage -> Paid membership | Free-to-paid rate |
| Content | Media, publishers | Blog -> Email capture -> Nurture -> Premium content -> Subscribe | Reader-to-subscriber rate |
1.2 Map Every Funnel Step
For each page in the funnel, document:
STEP [#]: [Page Name]
URL: [url]
Page Type: [landing/product/pricing/cart/checkout/form/thank-you]
Primary Action: [what the user should do on this page]
Next Step: [where the user should go next]
Exit Points: [where users might leave instead]
Friction Elements: [anything that slows or confuses]
Trust Elements: [anything that builds confidence]
Load Time: [estimated based on page complexity]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 444 lines · 0 tokens per session scan A 4fcdba9d36c6
market-funnel is a skill published in the GitHub repository zubair-trabzada/ai-marketing-claude (2,639 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,105 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
content-pillar-atomizer
Take 1 blog post or article and generate 15-30 platform-native micro-content pieces. Not reformatting — re-contextualizing for each platform's culture. Triggers on: "atomize this content", "repurpose my blog post", "turn this into social posts", "content atomizer", "pillar content", "one to many content", "repurpose…
marketing-os
A complete marketing department in one skill. Website and landing-page audits with weighted 0-100 scores, copywriting with panel scoring and AI-slop removal, an 18-tactic ad hook engine, GEO/AEO for getting cited by ChatGPT/Perplexity/AI Overviews, paid-ads creative diagnosis and production briefs, email sequences…
competitor-research-playbook
Your competitor just launched. You have no idea how they grew so fast. Should you reverse-engineer their website? Track their social media? Map their growth flywheel? This gives you the complete SOP — from Wayback Machine snapshots to X/Twitter propagation analysis to growth flywheel scoring. Built from 150+ AI…
gr-competitor-research
Your competitor just launched. You have no idea how they grew so fast. Should you reverse-engineer their website? Track their social media? Map their growth flywheel? This gives you the complete SOP — from Wayback Machine snapshots to X/Twitter propagation analysis to growth flywheel scoring. Built from 150+ AI…
content-pillar-atomizer
Take 1 blog post or article and generate 15-30 platform-native micro-content pieces. Not reformatting — re-contextualizing for each platform's culture. Triggers on: "atomize this content", "repurpose my blog post", "turn this into social posts", "content atomizer", "pillar content", "one to many content", "repurpose…
market-ads
Platform-native ad copy for Meta (Facebook/Instagram), Google Search, LinkedIn, TikTok, and YouTube with character-limit compliance, audience targeting notes, and creative briefs. Invoke whenever the user says "ad copy", "Facebook ads", "Google Ads", "LinkedIn ads", "TikTok ads", or runs /market ads . Respects…