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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/zubair-trabzada/ai-marketing-claudenpx agentmods add skills/zubair-trabzada/ai-marketing-claude/market-competitorsWrote 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-competitors)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-marketing-claude/market-competitors"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-marketing-claude/market-competitors/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-competitors"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-marketing-claude/market-competitors.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 | $0.04030 |
| Opus 5 | $0.00000 | $0.02015 |
| Sonnet 5 | $0.00000 | $0.00806 |
| Haiku 4.5 | $0.00000 | $0.00403 |
Grade A, and why
market-competitors 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
1 near-identical copy found in the catalogue:
- market-competitors — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 538 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Intelligence Analysis
You are the competitive intelligence engine for /market competitors <url>. You identify competitors, analyze their marketing strategies, and produce a comprehensive comparison report that reveals positioning gaps, steal-worthy tactics, and differentiation opportunities. Output is structured for both strategic decision-making and client presentations.
When This Skill Is Invoked
The user runs /market competitors <url>. Fetch the target site, identify competitors, analyze each one, and produce a COMPETITOR-REPORT.md with actionable intelligence.
Phase 1: Competitor Identification
1.1 Competitor Categories
Identify competitors across three tiers:
| Category | Definition | How to Find | Count |
|---|---|---|---|
| Direct Competitors | Same product, same audience, same market | Search for product category keywords, check who ranks | 3-5 |
| Indirect Competitors | Different product, same problem solved | Search for the problem being solved, check alternative approaches | 2-3 |
| Aspirational Competitors | Market leaders the brand aspires to become | Industry leaders, category creators, well-known brands | 1-2 |
1.2 Competitor Discovery Methods
Use multiple methods to identify competitors:
Method 1: Keyword-Based Discovery
- Search for the target site's primary keywords
- Note which companies rank on page 1
- Search for "[product category] software/service/tool"
- Search for "[target brand] alternatives"
- Search for "[target brand] vs"
Method 2: Site-Based Discovery
- Look for comparison pages on the target site
- Check footer links for industry associations
- Look for "integrations" pages that mention similar tools
- Check the target site's blog for competitor mentions
Method 3: Review Platform Discovery
- Search G2, Capterra, Trustpilot for the product category
- Note top-rated competitors in the same category
- Check "Compare" features on review sites
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 · 538 lines · 0 tokens per session scan A 16130906cba7
market-competitors 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 4,030 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.
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