Skills · Coding

Marketing Audit Orchestrator

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Originally by zubair-trabzada · MIT

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npx agentalley add market-audit

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market-audit/SKILL.md371 lines12.1 KBRawView on GitHub
Frontmatter: no frontmatter — costs points on criterion B3.
1# Marketing Audit OrchestratorA5No allowed-tools declared — no way to tell what this skill may touchB3Frontmatter: no frontmatter
2 
3You 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.
4 
5## When This Skill Is Invoked
6 
7The 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.
8 
9---
10 
11## Phase 1: Discovery (Pre-Analysis)
12 
13Before launching subagents, perform these discovery steps:
14 
15### 1.1 Fetch the Target URLA4This skill pulls in web or user content but never says to treat that content as data. A signal, not proof.
16 
17Use `WebFetch` to retrieve the homepage and up to 5 key interior pages (pricing, about, product/features, blog, contact). Store raw content for subagent consumption.
18 
19### 1.2 Detect Business Type
20 
21Classify the business into one of these categories. This classification shapes every subagent's analysis focus:
22 
23| Business Type | Detection Signals | Analysis Focus |
24|---------------|-------------------|----------------|
25| **SaaS/Software** | Free trial CTA, pricing tiers, feature pages, "login" link, API docs | Trial-to-paid conversion, onboarding, feature differentiation, churn signals |
26| **E-commerce** | Product listings, cart, checkout, product categories, reviews | Product pages, cart abandonment, upsells, reviews, AOV optimization |
27| **Agency/Services** | Case studies, portfolio, "work with us", testimonials, contact forms | Trust signals, case studies, positioning, lead qualification |
28| **Local Business** | Address, phone number, hours, "near me", Google Maps embed | Local SEO, Google Business Profile, reviews, NAP consistency |
29| **Creator/Course** | Lead magnets, email capture, course listings, community links | Email capture rate, funnel design, testimonials, content quality |
30| **Marketplace** | Two-sided messaging, buyer/seller flows, listing pages | Supply/demand balance, trust mechanisms, network effects |
31 
32### 1.3 Identify Key Pages
33 
34Map the site architecture to identify:
35- Homepage
36- Primary landing pages
37- Pricing page (if exists)
38- Product/feature pages
39- About/team page
40- Blog/content hub
41- Contact/signup/trial page
42- Legal pages (privacy, terms)
43 
44Store this page map for all subagents to reference.
45 
46---
47 
48## Phase 2: Analysis (Parallel Subagent Execution)
49 
50Launch all 5 subagents simultaneously using Claude Code's subagent capability. Each subagent receives the business type, page map, and fetched content.
51 
52### Subagent 1: market-content
53 
54**Focus:** Content quality, messaging clarity, copy effectiveness
55 
56Evaluates:
57- Headline clarity and specificity (does it pass the 5-second test?)
58- Value proposition strength (is the unique value immediately obvious?)
59- Body copy persuasion (does it speak to pain points and desired outcomes?)
60- Social proof quality (testimonials, logos, case studies, numbers)
61- Content depth and authority (blog quality, thought leadership)
62- Brand voice consistency across pages
63 
64**Scores:** Content & Messaging (0-100)
65 
66### Subagent 2: market-conversion
67 
68**Focus:** CRO, funnels, landing pages, signup flows
69 
70Evaluates:
71- CTA effectiveness (clarity, placement, contrast, urgency)
72- Form friction (number of fields, progressive disclosure, inline validation)
73- Page layout and visual hierarchy (does the eye flow toward conversion?)
74- Trust signals near conversion points (guarantees, security badges, testimonials)
75- Mobile conversion experience
76- Signup/checkout flow steps and drop-off risk
77- Pricing page effectiveness (anchoring, packaging, FAQ)
78 
79**Scores:** Conversion Optimization (0-100)
80 
81### Subagent 3: market-competitive
82 
83**Focus:** Competitive positioning, market landscape
84 
85Evaluates:
86- Unique positioning clarity (how differentiated is the messaging?)
87- Competitor awareness signals (comparison pages, "vs" pages, alternatives pages)
88- Market category definition (are they creating or joining a category?)
89- Pricing relative to likely competitors
90- Feature differentiation signals
91- Review/reputation presence on third-party sites
92 
93**Scores:** Competitive Positioning (0-100)
94 
95### Subagent 4: market-technical
96 
97**Focus:** Technical SEO, site architecture, page speed
98 
99Evaluates:
100- Title tags, meta descriptions, header hierarchy
101- URL structure and internal linking
102- Image optimization (alt tags, file sizes, modern formats)
103- Mobile responsiveness
104- Page load speed indicators (DOM size, resource count, render-blocking)
105- Schema markup / structured data
106- Sitemap and robots.txt
107- Core Web Vitals signals (where detectable)
108- Accessibility basics (contrast, form labels, skip navigation)
109 
110**Scores:** SEO & Discoverability (0-100)
111 
112### Subagent 5: market-strategy
113 
114**Focus:** Overall strategy, pricing, growth opportunities
115 
116Evaluates:
117- Business model clarity
118- Pricing strategy (value-based, competitor-based, cost-plus)
119- Growth loops (referral, viral, content, sales-led)
120- Retention signals (loyalty programs, community, email nurture)
121- Expansion revenue opportunities (upsells, cross-sells, tiers)
122- Market timing and trends alignment
123- Brand trust signals (about page, team, mission, social proof depth)
124 
125**Scores:** Brand & Trust (0-100), Growth & Strategy (0-100)
126 
127---
128 
129## Phase 3: Synthesis (Aggregation and Scoring)
130 
131### 3.1 Scoring Methodology
132 
133Compute the composite Marketing Score using weighted averages:
134 
135```
136Marketing Score = (
137 Content_Score * 0.25 +
138 Conversion_Score * 0.20 +
139 SEO_Score * 0.20 +
140 Competitive_Score * 0.15 +
141 Brand_Score * 0.10 +
142 Growth_Score * 0.10
143)
144```
145 
146**Score interpretation:**
147| Score Range | Grade | Meaning |
148|-------------|-------|---------|
149| 85-100 | A | Excellent — minor optimizations only |
150| 70-84 | B | Good — clear opportunities for improvement |
151| 55-69 | C | Average — significant gaps to address |
152| 40-54 | D | Below average — major overhaul needed |
153| 0-39 | F | Critical — fundamental marketing issues |
154 
155### 3.2 Aggregate Recommendations
156 
157Collect all recommendations from subagents and classify them:
158 
159**Quick Wins** (implement in < 1 week, low effort, high impact):
160- Copy changes to headlines and CTAs
161- Adding missing meta descriptions
162- Adding trust signals near CTAs
163- Fixing broken links or images
164- Adding urgency or social proof
165 
166**Strategic Recommendations** (1-4 weeks, medium effort, high impact):
167- Redesigning pricing page
168- Building comparison/alternatives pages
169- Creating lead magnets or content upgrades
170- Email sequence implementation
171- Landing page A/B test designs
172 
173**Long-Term Initiatives** (1-3 months, high effort, transformative impact):
174- Content marketing strategy overhaul
175- SEO content gap campaign
176- Funnel redesign
177- Brand repositioning
178- New growth channel development
179 
180### 3.3 Revenue Impact Estimates
181 
182For each recommendation, estimate the revenue impact:
183 
184```
185Revenue Impact Formula:
186 Current Monthly Traffic x Conversion Rate Improvement x Average Deal Value
187 = Estimated Monthly Revenue Lift
188 
189Example:
190 10,000 visitors x 0.5% conversion lift x $99 ARPU = $4,950/month
191```
192 
193Provide conservative, moderate, and aggressive estimates where possible. Use these qualifiers:
194 
195| Impact Level | Monthly Revenue Lift | Confidence |
196|-------------|---------------------|------------|
197| High Impact | >$5,000/mo or >20% improvement | Based on clear evidence from audit |
198| Medium Impact | $1,000-$5,000/mo or 5-20% improvement | Based on industry benchmarks |
199| Low Impact | <$1,000/mo or <5% improvement | Incremental optimization |
200 
201### 3.4 Competitor Comparison Table
202 
203If the competitive subagent identified competitors, include a comparison:
204 
205```markdown
206| Factor | [Target] | Competitor A | Competitor B | Competitor C |
207|--------|----------|-------------|-------------|-------------|
208| Headline Clarity | 6/10 | 8/10 | 5/10 | 7/10 |
209| Value Prop Strength | 5/10 | 7/10 | 6/10 | 8/10 |
210| Trust Signals | 7/10 | 9/10 | 4/10 | 6/10 |
211| CTA Effectiveness | 4/10 | 8/10 | 6/10 | 7/10 |
212| Pricing Clarity | 6/10 | 7/10 | 8/10 | 5/10 |
213| Content Depth | 5/10 | 9/10 | 3/10 | 6/10 |
214```
215 
216---
217 
218## Output Format: MARKETING-AUDIT.md
219 
220Write the final report to `MARKETING-AUDIT.md` in the current directory with this structure:
221 
222```markdown
223# Marketing Audit: [Business Name]
224**URL:** [url]
225**Date:** [current date]
226**Business Type:** [detected type]
227**Overall Marketing Score: [X]/100 (Grade: [letter])**
228 
229---
230 
231## Executive Summary
232 
233[3-5 paragraph summary for a non-technical stakeholder. Lead with the score,
234highlight the biggest strength, the biggest gap, and the top 3 actions
235that would move the needle most. Include estimated revenue impact of
236implementing all recommendations.]
237 
238---
239 
240## Score Breakdown
241 
242| Category | Score | Weight | Weighted Score | Key Finding |
243|----------|-------|--------|---------------|-------------|
244| Content & Messaging | X/100 | 25% | X | [one-line finding] |
245| Conversion Optimization | X/100 | 20% | X | [one-line finding] |
246| SEO & Discoverability | X/100 | 20% | X | [one-line finding] |
247| Competitive Positioning | X/100 | 15% | X | [one-line finding] |
248| Brand & Trust | X/100 | 10% | X | [one-line finding] |
249| Growth & Strategy | X/100 | 10% | X | [one-line finding] |
250| **TOTAL** | | **100%** | **X/100** | |
251 
252---
253 
254## Quick Wins (This Week)
255 
256[Numbered list of 5-10 quick wins with specific implementation steps.
257Each should include: what to change, where to change it, why it matters,
258and estimated impact.]
259 
260## Strategic Recommendations (This Month)
261 
262[Numbered list of 3-7 strategic recommendations with rationale,
263implementation steps, and expected outcomes.]
264 
265## Long-Term Initiatives (This Quarter)
266 
267[Numbered list of 2-5 long-term initiatives with business case,
268resource requirements, and projected ROI.]
269 
270---
271 
272## Detailed Analysis by Category
273 
274### Content & Messaging Analysis
275[Full findings from market-content subagent]
276 
277### Conversion Optimization Analysis
278[Full findings from market-conversion subagent]
279 
280### SEO & Discoverability Analysis
281[Full findings from market-technical subagent]
282 
283### Competitive Positioning Analysis
284[Full findings from market-competitive subagent]
285 
286### Brand & Trust Analysis
287[Full findings from market-strategy subagent — brand section]
288 
289### Growth & Strategy Analysis
290[Full findings from market-strategy subagent — growth section]
291 
292---
293 
294## Competitor Comparison
295 
296[Comparison table from Section 3.4]
297 
298---
299 
300## Revenue Impact Summary
301 
302| Recommendation | Est. Monthly Impact | Confidence | Timeline |
303|---------------|-------------------|------------|----------|
304| [recommendation 1] | $X,XXX | High/Med/Low | X weeks |
305| [recommendation 2] | $X,XXX | High/Med/Low | X weeks |
306| ... | | | |
307| **Total Potential** | **$XX,XXX/mo** | | |
308 
309---
310 
311## Next Steps
312 
3131. [Most critical action item]
3142. [Second priority]
3153. [Third priority]
316 
317*Generated by AI Marketing Suite — `/market audit`*
318```
319 
320---
321 
322## Terminal Output
323 
324In addition to the file, display a condensed summary in the terminal:
325 
326```
327=== MARKETING AUDIT COMPLETE ===
328 
329Business: [name] ([type])
330URL: [url]
331Marketing Score: [X]/100 (Grade: [letter])
332 
333Score Breakdown:
334 Content & Messaging: [XX]/100 ████████░░
335 Conversion Optimization: [XX]/100 ██████░░░░
336 SEO & Discoverability: [XX]/100 ███████░░░
337 Competitive Positioning: [XX]/100 █████░░░░░
338 Brand & Trust: [XX]/100 ████████░░
339 Growth & Strategy: [XX]/100 ██████░░░░
340 
341Top 3 Quick Wins:
342 1. [win]
343 2. [win]
344 3. [win]
345 
346Top 3 Strategic Moves:
347 1. [move]
348 2. [move]
349 3. [move]
350 
351Estimated Revenue Impact: $X,XXX-$XX,XXX/month
352 
353Full report saved to: MARKETING-AUDIT.md
354```
355 
356---
357 
358## Error Handling
359 
360- If the URL is unreachable, report the error and suggest checking the URL
361- If a subagent fails, continue with remaining subagents and note the gap in the report
362- If the site is behind authentication, note what was accessible and recommend manual review for gated content
363- If the site has very little content (single page), adapt the analysis accordingly and note limited scope
364 
365## Cross-Skill Integration
366 
367- If `COMPETITOR-REPORT.md` exists in the current directory, incorporate its findings
368- If `BRAND-VOICE.md` exists, use it to contextualize content analysis
369- Reference other available analyses in the executive summary
370- Suggest follow-up commands: `/market copy`, `/market funnel`, `/market competitors` for deeper dives
371 

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