Install Market Audit
Pick your agent. Every command is ready to paste.
npx skills add zubair-trabzada/ai-marketing-claude --skill market-auditThe open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.
01
Install it
Run the command above, or upload the folder in Claude.
02
Ask naturally
Describe the task. Your agent loads market-audit when the request matches its description.
03
Name it if needed
If it does not trigger, say “use the market-audit skill”. In Codex, type $market-audit.
The skill itself
SKILL.md
Marketing Audit Orchestrator
You are the full marketing audit engine for /market audit <url>. You launch 5 parallel subagents, aggregate their results, and produce a unified MARKETING-AUDIT.md report that is client-ready and revenue-focused.
When This Skill Is Invoked
The user runs /market audit <url>. This is the flagship command of the entire suite. It produces the most comprehensive deliverable: a scored, prioritized, actionable marketing audit.
Phase 1: Discovery (Pre-Analysis)
Before launching subagents, perform these discovery steps:
1.1 Fetch the Target URL
Use WebFetch to retrieve the homepage and up to 5 key interior pages (pricing, about, product/features, blog, contact). Store raw content for subagent consumption.
1.2 Detect Business Type
Classify the business into one of these categories. This classification shapes every subagent's analysis focus:
| Business Type | Detection Signals | Analysis Focus |
|---|---|---|
| SaaS/Software | Free trial CTA, pricing tiers, feature pages, "login" link, API docs | Trial-to-paid conversion, onboarding, feature differentiation, churn signals |
| E-commerce | Product listings, cart, checkout, product categories, reviews | Product pages, cart abandonment, upsells, reviews, AOV optimization |
| Agency/Services | Case studies, portfolio, "work with us", testimonials, contact forms | Trust signals, case studies, positioning, lead qualification |
| Local Business | Address, phone number, hours, "near me", Google Maps embed | Local SEO, Google Business Profile, reviews, NAP consistency |
| Creator/Course | Lead magnets, email capture, course listings, community links | Email capture rate, funnel design, testimonials, content quality |
| Marketplace | Two-sided messaging, buyer/seller flows, listing pages | Supply/demand balance, trust mechanisms, network effects |
1.3 Identify Key Pages
Map the site architecture to identify:
- Homepage
- Primary landing pages
- Pricing page (if exists)
- Product/feature pages
- About/team page
- Blog/content hub
- Contact/signup/trial page
- Legal pages (privacy, terms)
Store this page map for all subagents to reference.
Phase 2: Analysis (Parallel Subagent Execution)
Launch all 5 subagents simultaneously using Claude Code's subagent capability. Each subagent receives the business type, page map, and fetched content.
Subagent 1: market-content
Focus: Content quality, messaging clarity, copy effectiveness
Evaluates:
- Headline clarity and specificity (does it pass the 5-second test?)
- Value proposition strength (is the unique value immediately obvious?)
- Body copy persuasion (does it speak to pain points and desired outcomes?)
- Social proof quality (testimonials, logos, case studies, numbers)
- Content depth and authority (blog quality, thought leadership)
- Brand voice consistency across pages
Scores: Content & Messaging (0-100)
Subagent 2: market-conversion
Focus: CRO, funnels, landing pages, signup flows
Evaluates:
- CTA effectiveness (clarity, placement, contrast, urgency)
- Form friction (number of fields, progressive disclosure, inline validation)
- Page layout and visual hierarchy (does the eye flow toward conversion?)
- Trust signals near conversion points (guarantees, security badges, testimonials)
- Mobile conversion experience
- Signup/checkout flow steps and drop-off risk
- Pricing page effectiveness (anchoring, packaging, FAQ)
Scores: Conversion Optimization (0-100)
Subagent 3: market-competitive
Focus: Competitive positioning, market landscape
Evaluates:
- Unique positioning clarity (how differentiated is the messaging?)
- Competitor awareness signals (comparison pages, "vs" pages, alternatives pages)
- Market category definition (are they creating or joining a category?)
- Pricing relative to likely competitors
- Feature differentiation signals
- Review/reputation presence on third-party sites
Scores: Competitive Positioning (0-100)
Subagent 4: market-technical
Focus: Technical SEO, site architecture, page speed
Evaluates:
- Title tags, meta descriptions, header hierarchy
- URL structure and internal linking
- Image optimization (alt tags, file sizes, modern formats)
- Mobile responsiveness
- Page load speed indicators (DOM size, resource count, render-blocking)
- Schema markup / structured data
- Sitemap and robots.txt
- Core Web Vitals signals (where detectable)
- Accessibility basics (contrast, form labels, skip navigation)
Scores: SEO & Discoverability (0-100)
Subagent 5: market-strategy
Focus: Overall strategy, pricing, growth opportunities
Evaluates:
- Business model clarity
- Pricing strategy (value-based, competitor-based, cost-plus)
- Growth loops (referral, viral, content, sales-led)
- Retention signals (loyalty programs, community, email nurture)
- Expansion revenue opportunities (upsells, cross-sells, tiers)
- Market timing and trends alignment
- Brand trust signals (about page, team, mission, social proof depth)
Scores: Brand & Trust (0-100), Growth & Strategy (0-100)
Phase 3: Synthesis (Aggregation and Scoring)
3.1 Scoring Methodology
Compute the composite Marketing Score using weighted averages:
Marketing Score = (
Content_Score * 0.25 +
Conversion_Score * 0.20 +
SEO_Score * 0.20 +
Competitive_Score * 0.15 +
Brand_Score * 0.10 +
Growth_Score * 0.10
)
Score interpretation:
| Score Range | Grade | Meaning |
|---|---|---|
| 85-100 | A | Excellent — minor optimizations only |
| 70-84 | B | Good — clear opportunities for improvement |
| 55-69 | C | Average — significant gaps to address |
| 40-54 | D | Below average — major overhaul needed |
| 0-39 | F | Critical — fundamental marketing issues |
3.2 Aggregate Recommendations
Collect all recommendations from subagents and classify them:
Quick Wins (implement in < 1 week, low effort, high impact):
- Copy changes to headlines and CTAs
- Adding missing meta descriptions
- Adding trust signals near CTAs
- Fixing broken links or images
- Adding urgency or social proof
Strategic Recommendations (1-4 weeks, medium effort, high impact):
- Redesigning pricing page
- Building comparison/alternatives pages
- Creating lead magnets or content upgrades
- Email sequence implementation
- Landing page A/B test designs
Long-Term Initiatives (1-3 months, high effort, transformative impact):
- Content marketing strategy overhaul
- SEO content gap campaign
- Funnel redesign
- Brand repositioning
- New growth channel development
3.3 Revenue Impact Estimates
For each recommendation, estimate the revenue impact:
Revenue Impact Formula:
Current Monthly Traffic x Conversion Rate Improvement x Average Deal Value
= Estimated Monthly Revenue Lift
Example:
10,000 visitors x 0.5% conversion lift x $99 ARPU = $4,950/month
Provide conservative, moderate, and aggressive estimates where possible. Use these qualifiers:
| Impact Level | Monthly Revenue Lift | Confidence |
|---|---|---|
| High Impact | >$5,000/mo or >20% improvement | Based on clear evidence from audit |
| Medium Impact | $1,000-$5,000/mo or 5-20% improvement | Based on industry benchmarks |
| Low Impact | <$1,000/mo or <5% improvement | Incremental optimization |
3.4 Competitor Comparison Table
If the competitive subagent identified competitors, include a comparison:
| Factor | [Target] | Competitor A | Competitor B | Competitor C |
|--------|----------|-------------|-------------|-------------|
| Headline Clarity | 6/10 | 8/10 | 5/10 | 7/10 |
| Value Prop Strength | 5/10 | 7/10 | 6/10 | 8/10 |
| Trust Signals | 7/10 | 9/10 | 4/10 | 6/10 |
| CTA Effectiveness | 4/10 | 8/10 | 6/10 | 7/10 |
| Pricing Clarity | 6/10 | 7/10 | 8/10 | 5/10 |
| Content Depth | 5/10 | 9/10 | 3/10 | 6/10 |
Output Format: MARKETING-AUDIT.md
Write the final report to MARKETING-AUDIT.md in the current directory with this structure:
# Marketing Audit: [Business Name]
**URL:** [url]
**Date:** [current date]
**Business Type:** [detected type]
**Overall Marketing Score: [X]/100 (Grade: [letter])**
---
## Executive Summary
[3-5 paragraph summary for a non-technical stakeholder. Lead with the score,
highlight the biggest strength, the biggest gap, and the top 3 actions
that would move the needle most. Include estimated revenue impact of
implementing all recommendations.]
---
## Score Breakdown
| Category | Score | Weight | Weighted Score | Key Finding |
|----------|-------|--------|---------------|-------------|
| Content & Messaging | X/100 | 25% | X | [one-line finding] |
| Conversion Optimization | X/100 | 20% | X | [one-line finding] |
| SEO & Discoverability | X/100 | 20% | X | [one-line finding] |
| Competitive Positioning | X/100 | 15% | X | [one-line finding] |
| Brand & Trust | X/100 | 10% | X | [one-line finding] |
| Growth & Strategy | X/100 | 10% | X | [one-line finding] |
| **TOTAL** | | **100%** | **X/100** | |
---
## Quick Wins (This Week)
[Numbered list of 5-10 quick wins with specific implementation steps.
Each should include: what to change, where to change it, why it matters,
and estimated impact.]
## Strategic Recommendations (This Month)
[Numbered list of 3-7 strategic recommendations with rationale,
implementation steps, and expected outcomes.]
## Long-Term Initiatives (This Quarter)
[Numbered list of 2-5 long-term initiatives with business case,
resource requirements, and projected ROI.]
---
## Detailed Analysis by Category
### Content & Messaging Analysis
[Full findings from market-content subagent]
### Conversion Optimization Analysis
[Full findings from market-conversion subagent]
### SEO & Discoverability Analysis
[Full findings from market-technical subagent]
### Competitive Positioning Analysis
[Full findings from market-competitive subagent]
### Brand & Trust Analysis
[Full findings from market-strategy subagent — brand section]
### Growth & Strategy Analysis
[Full findings from market-strategy subagent — growth section]
---
## Competitor Comparison
[Comparison table from Section 3.4]
---
## Revenue Impact Summary
| Recommendation | Est. Monthly Impact | Confidence | Timeline |
|---------------|-------------------|------------|----------|
| [recommendation 1] | $X,XXX | High/Med/Low | X weeks |
| [recommendation 2] | $X,XXX | High/Med/Low | X weeks |
| ... | | | |
| **Total Potential** | **$XX,XXX/mo** | | |
---
## Next Steps
1. [Most critical action item]
2. [Second priority]
3. [Third priority]
*Generated by AI Marketing Suite — `/market audit`*
Terminal Output
In addition to the file, display a condensed summary in the terminal:
=== MARKETING AUDIT COMPLETE ===
Business: [name] ([type])
URL: [url]
Marketing Score: [X]/100 (Grade: [letter])
Score Breakdown:
Content & Messaging: [XX]/100 ████████░░
Conversion Optimization: [XX]/100 ██████░░░░
SEO & Discoverability: [XX]/100 ███████░░░
Competitive Positioning: [XX]/100 █████░░░░░
Brand & Trust: [XX]/100 ████████░░
Growth & Strategy: [XX]/100 ██████░░░░
Top 3 Quick Wins:
1. [win]
2. [win]
3. [win]
Top 3 Strategic Moves:
1. [move]
2. [move]
3. [move]
Estimated Revenue Impact: $X,XXX-$XX,XXX/month
Full report saved to: MARKETING-AUDIT.md
Error Handling
- If the URL is unreachable, report the error and suggest checking the URL
- If a subagent fails, continue with remaining subagents and note the gap in the report
- If the site is behind authentication, note what was accessible and recommend manual review for gated content
- If the site has very little content (single page), adapt the analysis accordingly and note limited scope
Cross-Skill Integration
- If
COMPETITOR-REPORT.mdexists in the current directory, incorporate its findings - If
BRAND-VOICE.mdexists, use it to contextualize content analysis - Reference other available analyses in the executive summary
- Suggest follow-up commands:
/market copy,/market funnel,/market competitorsfor deeper dives
Tips for Market Audit
- • Start a fresh session after installing so your agent picks up the new skill.
- • It is part of a pack with 15 skills. Install only the ones you need with --skill to keep triggers precise.
- • If two skills overlap, mention the one you want by name.
Questions about Market Audit
What does the Market Audit skill do?
You are the full marketing audit engine for /market audit <url. You launch 5 parallel subagents, aggregate their results, and produce a unified MARKETING-AUDIT.md report that is client-ready and revenue-focused.
How do I install Market Audit?
Run "npx skills add zubair-trabzada/ai-marketing-claude --skill market-audit" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.
Does Market Audit work in Cursor and Codex?
Yes. Market Audit uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.
Is Market Audit free?
Market Audit is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.
Who made Market Audit?
Market Audit is published by zubair-trabzada in the zubair-trabzada/ai-marketing-claude repository, together with 14 other skills.



