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Get Started Free →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.
.claude/skills/bilal140202-marketing-audit-orchestrator/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 179% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 237% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 430% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 113% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 241% | 0% |
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.
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.
Before launching subagents, perform these discovery steps:
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.
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 |
Map the site architecture to identify:
Store this page map for all subagents to reference.
Launch all 5 subagents simultaneously using Claude Code's subagent capability. Each subagent receives the business type, page map, and fetched content.
Focus: Content quality, messaging clarity, copy effectiveness
Evaluates:
Scores: Content & Messaging (0-100)
Focus: CRO, funnels, landing pages, signup flows
Evaluates:
Scores: Conversion Optimization (0-100)
Focus: Competitive positioning, market landscape
Evaluates:
Scores: Competitive Positioning (0-100)
Focus: Technical SEO, site architecture, page speed
Evaluates:
Scores: SEO & Discoverability (0-100)
Focus: Overall strategy, pricing, growth opportunities
Evaluates:
Scores: Brand & Trust (0-100), Growth & Strategy (0-100)
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 |
Collect all recommendations from subagents and classify them:
Quick Wins (implement in < 1 week, low effort, high impact):
Strategic Recommendations (1-4 weeks, medium effort, high impact):
Long-Term Initiatives (1-3 months, high effort, transformative impact):
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/monthProvide 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 |
If the competitive subagent identified competitors, include a comparison:
markdown| 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 |
Write the final report to MARKETING-AUDIT.md in the current directory with this structure:
markdown# 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`*
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.mdCOMPETITOR-REPORT.md exists in the current directory, incorporate its findingsBRAND-VOICE.md exists, use it to contextualize content analysis/market copy, /market funnel, /market competitors for deeper dives| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-02 | fail→fail | 56,952 | 5,431 | -90% | 1 | 1 | 0% | 7,867 | 3,534 | -55% | 0 | 0 | — |
case-01 | fail→fail | 24,504 | 4,951 | -80% | 1 | 1 | 0% | 4,554 | 3,590 | -21% | 0 | 0 | — |
case-03 | fail→fail | 17,035 | 5,349 | -69% | 1 | 1 | 0% | 3,362 | 3,767 | +12% | 0 | 0 | — |
case-04 | fail→pass | 7,815 | 1,994 | -74% | 1 | 1 | 0% | 1,272 | 3,550 | +179% | 0 | 0 | — |
case-05 | fail→pass | 5,608 | 1,856 | -67% | 1 | 1 | 0% | 1,057 | 3,564 | +237% | 0 | 0 | — |
case-06 | fail→pass | 3,982 | 2,063 | -48% | 1 | 1 | 0% | 681 | 3,606 | +430% | 0 | 0 | — |
case-07 | pass→pass | 3,116 | 1,442 | -54% | 1 | 1 | 0% | 582 | 3,449 | +493% | 0 | 0 | — |
case-08 | fail→pass | 10,133 | 3,796 | -63% | 1 | 1 | 0% | 1,808 | 3,844 | +113% | 0 | 0 | — |
case-09 | pass→pass | 5,168 | 2,854 | -45% | 1 | 1 | 0% | 899 | 3,570 | +297% | 0 | 0 | — |
case-10 | pass→pass | 5,189 | 2,376 | -54% | 1 | 1 | 0% | 866 | 3,585 | +314% | 0 | 0 | — |
case-11 | pass→pass | 6,595 | 2,375 | -64% | 1 | 1 | 0% | 1,195 | 3,662 | +206% | 0 | 0 | — |
case-12 | fail→fail | 4,140 | 1,516 | -63% | 1 | 1 | 0% | 746 | 3,393 | +355% | 0 | 0 | — |
case-13 | fail→pass | 6,204 | 1,903 | -69% | 1 | 1 | 0% | 1,030 | 3,508 | +241% | 0 | 0 | — |
case-14 | fail→pass | 7,598 | 2,286 | -70% | 1 | 1 | 0% | 1,378 | 3,623 | +163% | 0 | 0 | — |
case-15 | pass→pass | 3,625 | 1,562 | -57% | 1 | 1 | 0% | 698 | 3,477 | +398% | 0 | 0 | — |
case-16 | fail→pass | 9,114 | 1,495 | -84% | 1 | 1 | 0% | 1,704 | 3,508 | +106% | 0 | 0 | — |
case-17 | pass→pass | 10,675 | 5,436 | -49% | 1 | 1 | 0% | 1,834 | 4,366 | +138% | 0 | 0 | — |
case-18 | pass→pass | 4,067 | 3,447 | -15% | 1 | 1 | 0% | 791 | 3,864 | +388% | 0 | 0 | — |
case-19 | fail→pass | 7,005 | 1,772 | -75% | 1 | 1 | 0% | 1,211 | 3,457 | +185% | 0 | 0 | — |
case-20 | pass→pass | 10,696 | 8,308 | -22% | 1 | 1 | 0% | 1,659 | 4,903 | +196% | 0 | 0 | — |
case-21 | fail→fail | 6,905 | 29,195 | +323% | 1 | 1 | 0% | 1,091 | 8,985 | +724% | 0 | 0 | — |
case-22 | fail→fail | 14,711 | 20,713 | +41% | 1 | 1 | 0% | 3,199 | 8,669 | +171% | 0 | 0 | — |
case-23 | pass→pass | 8,460 | 9,295 | +10% | 1 | 1 | 0% | 1,499 | 4,807 | +221% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted, and 20 counted toward the lift figure. The other 3 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +35 percentage points is the difference between those two pass rates over the 20 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.