Vibe marketing skill

AI-powered marketing at scale — vibe marketing workflows for rapid content generation, creative iteration, campaign launches, and growth experiments using ChatGPT, Claude, Midjourney, Runway, HeyGen, ElevenLabs, and AI video tools.

by LeadMagic·MIT license·★ 62 Stars on the repo·GitHub ↗

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SKILL.md · the author's own words
# Vibe Marketing

## Overview

"Vibe marketing" is vibe coding applied to marketing: describe what you want
to an AI, iterate conversationally, and ship campaigns in hours instead of
weeks. The old model: copywriter drafts → designer creates → manager reviews →
revisions → launch (2-4 weeks). The vibe marketing model: prompt → AI
generates 5 variants → pick 2 → polish → launch (2-4 hours). This skill covers
the complete AI marketing stack: content generation, creative production,
campaign ideation, and the "prompt-to-publish" workflow that lets solo
marketers operate at team scale.

## Authoritative Foundations

- **Andrej Karpathy** — 'Vibe coding' applied to marketing: describe, generate, iterate

Word-for-word excerpt, not a result. Read the full SKILL.md ↓

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Vibe Marketing

Overview

"Vibe marketing" is vibe coding applied to marketing: describe what you want to an AI, iterate conversationally, and ship campaigns in hours instead of weeks. The old model: copywriter drafts → designer creates → manager reviews → revisions → launch (2-4 weeks). The vibe marketing model: prompt → AI generates 5 variants → pick 2 → polish → launch (2-4 hours). This skill covers the complete AI marketing stack: content generation, creative production, campaign ideation, and the "prompt-to-publish" workflow that lets solo marketers operate at team scale.

Authoritative Foundations

  • Andrej Karpathy — 'Vibe coding' applied to marketing: describe, generate, iterate
  • Gary Vaynerchuk — Content at scale: 64 pieces of content per day per platform
  • Dave Gerhardt (Exit Five) — B2B marketing that doesn't feel like marketing
  • Amanda Natividad (SparkToro) — Zero-click content, audience-first AI
  • Harry Dry (Marketing Examples) — Show, don't tell (visual proof)
  • Justin Welsh — Content operating system, repurposing lattice

When to Use

Trigger phrases: "vibe marketing", "AI marketing workflow", "scale content with AI", "AI campaign generation", "prompt to publish", "AI creative", "generate marketing content", "AI social media", "ChatGPT for marketing", "Claude for content", "Midjourney for ads", "AI marketing stack"

The AI Marketing Stack

Tool Marketing Use Cost Output Quality
Claude 4 / ChatGPT 4o Copywriting, strategy, outlines, email, social, ads $20/mo Production-ready with review
Claude Code / Cursor Landing pages, interactive tools $20/mo Production-ready
Midjourney / DALL-E 3 Ad creatives, social graphics, hero images $10-30/mo Production-ready
Runway / Pika Short-form video ads, social video $15-95/mo Needs editing
HeyGen / Synthesia AI spokesperson videos, personalized demos $29-89/mo Near-production
ElevenLabs Voiceover for ads, podcasts, video $5-99/mo Production-ready
Descript / Opus Clip Video editing, podcast clips, subtitles $19-29/mo Production-ready
Canva AI / Adobe Firefly Social graphics, presentations, one-pagers $13-25/mo Production-ready
Gamma / Tome AI decks, one-pagers, proposals $10-20/mo Production-ready
Perplexity / ChatGPT Search Research, competitive intel, data for content Free-$20/mo With verification

The Vibe Marketing Workflow

Phase 1: Research & Strategy (30 min — AI-assisted)

AI prompt chain for campaign strategy:

Prompt 1 (Research):
"You are a B2B SaaS marketing strategist. Research the top 5 competitors
for [my company] in the [space] market. For each: positioning, content
strategy, social presence, and what's working for them."

Prompt 2 (Strategy):
"Based on the competitive landscape, propose a 30-day content campaign
for [my company] targeting [ICP]. Include: content pillars, channel mix,
posting cadence, and key metrics."

Prompt 3 (Refinement):
"Narrow to the top 3 highest-ROI tactics. For each: specific execution
steps, AI tools to use, and expected outcomes."
Phase 2: Content Generation (1-2 hours — AI bulk generation)

The "prompt once, generate many" pattern:

Prompt:
"You are a B2B SaaS copywriter specializing in [industry]. Using the
following brand voice guide, generate a 30-day content calendar for
LinkedIn with:
- 5 long-form posts (educational frameworks)
- 5 short-form posts (contrarian takes)
- 5 engagement posts (questions, polls)
- 5 case-study style posts (customer wins)
- 5 carousel outlines (step-by-step guides)
- 5 video scripts (60-second tutorials)

Brand voice: [paste voice guide]
ICP: [describe target]
Key topics: [list 3-5 topics]"

This generates 30 pieces of raw content in one prompt. Of those 30:

  • 10 will be great with minor edits
  • 10 will be usable with significant edits
  • 10 will be garbage

Your job: identify the 10 great ones. Polish them in 15 minutes each. You've just created 2 weeks of content in 3 hours.

Phase 3: Visual Generation (1-2 hours — AI creative)

Social graphics pipeline:

1. Canva AI: "Generate a LinkedIn carousel about [topic]. 6 slides.
   Style: [brand colors], [typography], clean B2B aesthetic."
2. Midjourney: "Professional B2B illustration for [topic]. Clean style,
   [color palette], no text in image. --ar 16:9"
3. Remove.bg + Canva: Combine AI image with copy overlay

Ad creative pipeline (30 min per variant):

1. Claude: "Write 5 LinkedIn ad copy variants for [offer]. Each:
   headline (under 150 chars), body (under 300 chars), CTA."
2. Midjourney: Generate 3 image variants per copy variant
3. Combine in Canva: image + copy overlay = ad creative
4. Launch all 5 variants. Kill underperformers after 48 hours.
Phase 4: Video Generation (2-4 hours — AI video)

Short-form video workflow:

1. Claude: "Write a 60-second script about [topic]. Hook in first 3 seconds.
   One key point. CTA at end."
2. ElevenLabs: Generate voiceover from script (pick natural voice)
3. Runway/Pika: Generate B-roll footage for key moments
4. Descript/CapCut: Edit together — voiceover + B-roll + captions + branding
5. Opus Clip: Auto-generate 5 short clips from a longer video

AI spokesperson video workflow (HeyGen/Synthesia):

1. Claude: "Write a personalized demo video script for [customer name],
   [title] at [company]. Address their specific [pain point]. 90 seconds."
2. HeyGen: Create AI avatar video. Upload script. Select avatar.
   Personalize with customer name on-screen.
3. Send as personalized outreach — feels custom, costs $0.10 to produce.
Phase 5: Distribution & Testing (ongoing)

AI-powered distribution:

Prompt:
"You are a social media distribution strategist. Here is our content
calendar for the week. Generate:
1. 3 X/Twitter thread versions of each long-form post
2. 2 LinkedIn post variants (different hooks)
3. 5 comment templates for engaging with other accounts
4. 1 newsletter edition summarizing the week's insights"

AI-powered iteration: After 1 week of posting:

Prompt:
"Here are the analytics from last week's content: [paste data].
Which posts performed best? Why? Generate next week's calendar
doubling down on what worked and cutting what didn't."

The "Prompt-to-Publish" Pipeline (End-to-End)

A complete vibe marketing campaign in 4 hours:

HOUR 1 — Strategy + Copy:
- Claude: Generate campaign strategy, ICP targeting, channel plan
- Claude: Write all copy — landing page, emails, social posts, ad copy
- Claude: Write nurture sequence for leads

HOUR 2 — Visuals:
- Midjourney/Canva AI: Generate hero images, ad creatives, social graphics
- Gamma: Generate pitch deck / one-pager for sales enablement
- v0/Lovable: Build landing page (or update existing)

HOUR 3 — Video (if needed):
- Claude: Write video scripts
- ElevenLabs: Generate voiceover
- HeyGen/Synthesia: Generate AI spokesperson video (demo, explainer)
- Runway: Generate B-roll

HOUR 4 — Launch & Automate:
- Schedule all content (Buffer, Hootsuite, or native schedulers)
- Set up email sequence (ConvertKit, HubSpot, Customer.io)
- Launch ads (LinkedIn, Meta, Google)
- Set up analytics and tracking

This is 2-4 weeks of traditional marketing work, compressed into 4 hours. A team of 1 with AI operates like a team of 5 without.

Content Atomization (Justin Welsh Method, AI-Accelerated)

One core asset → 20+ derivative pieces:

CORE ASSET: 2,000-word blog post / framework / report

ATOMIZATION:
1. LinkedIn post (long-form) — extract the framework
2. LinkedIn post (short) — extract the contrarian take
3. LinkedIn carousel (6 slides) — step-by-step visual
4. X/Twitter thread (10 tweets) — break down the argument
5. Newsletter edition — deeper dive with personal story
6. YouTube Short / TikTok (60 sec) — say the one key insight
7. LinkedIn video (3 min) — walk through the framework
8. Podcast episode (15 min) — discuss with examples
9. Instagram/TikTok carousel — visual version
10. Reddit post — ask a question based on the insight
11. Quora answer — answer a question using the framework
12. Email to list — "I just published this"
13. Ad creative — turn the framework into a lead magnet ad
14. Sales one-pager — framework as leave-behind
15. Cold email hook — use the insight as an opener
16. Webinar topic — expand into a 30-min presentation
17. Guest post pitch — offer the framework to a publication
18. SlideShare / SpeakerDeck — upload the carousel as a deck
19. Infographic — visual summary (Canva AI)
20. Community post — share in Slack/Discord groups

AI can generate every one of these from the core asset in under 3 hours.

Expert Vibe Marketers to Follow

Expert Platform Vibe Marketing Specialty
Dave Gerhardt @davegerhardt (X) B2B marketing that feels human, not corporate
Amanda Natividad @amandanat (X) Zero-click content, audience-first strategy
Justin Welsh @thejustinwelsh (X) Content operating system, repurposing at scale
Harry Dry @harrydry (X) Visual proof marketing, Marketing Examples
Ross Simmonds @TheCoolestCool (X) Content distribution, repurposing, AI content
Blake Emal @heyblake (X) Copywriting frameworks, AI-assisted copy
Alex Garcia @alexgarcia_atx (X) Marketing experiments, AI tools
Aadit Sheth @aaditsh (X) AI content workflows, prompt engineering
Kieran Flanagan @searchbrat (X) AI + marketing (Zapier CMO)

Output Format

VIBE MARKETING SPRINT — [Week/Campaign]

GOAL: [specific outcome: signups, demos, revenue]
ICP: [target audience]
TIMEFRAME: [1-week sprint]

DAY 1 — Strategy & Copy:
- AI tools used: [Claude / ChatGPT]
- Assets created: [landing page copy, 10 social posts, 3 email drafts]

DAY 2 — Visuals:
- AI tools: [Midjourney / Canva AI / Gamma]
- Assets: [hero image, 10 social graphics, pitch deck]

DAY 3 — Video:
- AI tools: [HeyGen / Runway / ElevenLabs / Descript]
- Assets: [1 explainer video, 3 short clips, voiceover]

DAY 4 — Launch:
- Schedule: [all content scheduled, emails queued, ads live]
- Analytics: [tracking URLs, UTM parameters, dashboard]

DAY 5 — Review & Iterate:
- Top performers: [which content won]
- Next sprint: [what to double down on]

Implementation Checklist

  • AI-generated copy reviewed by human (AI writes, human edits)
  • AI-generated images checked for brand consistency
  • All claims fact-checked (AI hallucinates statistics)
  • Video content reviewed for accuracy before publishing
  • No AI "slop" — every piece earns its place or is cut
  • UTM parameters on all links for attribution
  • A/B test variants generated (at least 2 per ad/post)
  • Analytics dashboard live before launch

Quality Check

Before delivering, verify:

  • Output matches the user's stated request
  • Named frameworks or sources are reflected in the recommendation
  • The deliverable is specific enough for an agent to execute
  • Any assumptions, risks, or dependencies are explicit
  • No unsupported claims, invented facts, or private/internal references are included

Common Pitfalls

  1. AI slop at scale. "30 AI blog posts in 1 hour!" = 30 pieces of unreadable garbage. Fix: AI writes first drafts. Humans edit for voice, accuracy, and insight. 10 great posts > 100 AI-slop posts.

  2. No fact-checking. AI confidently hallucinates statistics, customer quotes, and case studies. Fix: Every stat needs a source. Every quote needs attribution. Every claim needs verification.

  3. Brand voice dilution. "Write a LinkedIn post" without brand voice context = generic AI voice. Fix: Paste your brand voice guide into every content prompt. Better yet: save it as a custom GPT.

  4. One-and-done prompting. First AI output is never the best. Fix: "That's good. Now write 4 more variants with different hooks." Pick the best. Iterate. AI gets better with direction.

  5. AI-only content with no human insight. AI can summarize what's already been said. Only humans can say something genuinely new. Fix: Your unique data, experiences, and opinions are the moat. AI is the amplifier, not the source.

  6. Ignoring distribution. AI makes creation 10x faster. Distribution is still the bottleneck. Fix: Spend 20% of time creating, 80% distributing. AI can help with distribution copy too.

Execution Artifacts

  • references/framework-notes.md — Named frameworks and reference tables
  • templates/output-template.md — Deliverable shell for agent output
  • scripts/check-output.py — Lightweight deliverable validator
  • vibe-coding — AI dev tools for building GTM assets
  • ai-content-creation — AI workflows for blog, social, email, ads
  • ai-video-creation — AI video tools for marketing
  • content-marketing — Content strategy, SEO, pillar pages
  • social-media-strategy — Per-platform content, posting cadence
  • copywriting — Marketing copy fundamentals
  • ad-creative-strategy — Creative formats per platform, testing
  • growth-hacking-tactics — Rapid experimentation and growth loops
1---
2name: vibe-marketing
3description: >-
4 AI-powered marketing at scale — vibe marketing workflows for rapid content
5 generation, creative iteration, campaign launches, and growth experiments
6 using ChatGPT, Claude, Midjourney, Runway, HeyGen, ElevenLabs, and AI
7 video tools. Based on the "vibe coding" philosophy applied to marketing.
8 Use when scaling content production with AI, launching campaigns fast,
9 generating creative variants, or building a marketing engine that runs
10 on prompts. Triggers on: "vibe marketing", "AI marketing", "AI content",
11 "scale content with AI", "AI campaign generation".
12license: MIT
13compatibility: Claude Code, Codex, GitHub Copilot, Cursor, Gemini CLI, OpenCode, Goose, Hermes, Windsurf, Zed
14metadata:
15 version: "1.0.0"
16 author: LeadMagic
17 category: creative
18 tags: [vibe-marketing, ai-marketing, ai-content, chatgpt, claude, midjourney, runway, heygen]
19 related_skills: [vibe-coding, ai-content-creation, ai-video-creation, content-marketing, social-media-strategy, copywriting, ad-creative-strategy, growth-hacking-tactics]
20 frameworks:
21 - "Andrej Karpathy — 'Vibe coding' applied to marketing: describe, generate, iterate"
22 - "Gary Vaynerchuk — Content at scale: 64 pieces of content per day per platform"
23 - "Dave Gerhardt (Exit Five) — B2B marketing that doesn't feel like marketing"
24 - "Amanda Natividad (SparkToro) — Zero-click content, audience-first AI"
25 - "Harry Dry (Marketing Examples) — Show, don't tell (visual proof)"
26 - "Justin Welsh — Content operating system, repurposing lattice"
27---
28 
29# Vibe Marketing
30 
31## Overview
32 
33"Vibe marketing" is vibe coding applied to marketing: describe what you want
34to an AI, iterate conversationally, and ship campaigns in hours instead of
35weeks. The old model: copywriter drafts → designer creates → manager reviews →
36revisions → launch (2-4 weeks). The vibe marketing model: prompt → AI
37generates 5 variants → pick 2 → polish → launch (2-4 hours). This skill covers
38the complete AI marketing stack: content generation, creative production,
39campaign ideation, and the "prompt-to-publish" workflow that lets solo
40marketers operate at team scale.
41 
42## Authoritative Foundations
43 
44- **Andrej Karpathy** — 'Vibe coding' applied to marketing: describe, generate, iterate
45- **Gary Vaynerchuk** — Content at scale: 64 pieces of content per day per platform
46- **Dave Gerhardt (Exit Five)** — B2B marketing that doesn't feel like marketing
47- **Amanda Natividad (SparkToro)** — Zero-click content, audience-first AI
48- **Harry Dry (Marketing Examples)** — Show, don't tell (visual proof)
49- **Justin Welsh** — Content operating system, repurposing lattice
50 
51## When to Use
52 
53Trigger phrases: "vibe marketing", "AI marketing workflow", "scale content
54with AI", "AI campaign generation", "prompt to publish", "AI creative",
55"generate marketing content", "AI social media", "ChatGPT for marketing",
56"Claude for content", "Midjourney for ads", "AI marketing stack"
57 
58## The AI Marketing Stack
59 
60| Tool | Marketing Use | Cost | Output Quality |
61|---|---|---|---|
62| **Claude 4 / ChatGPT 4o** | Copywriting, strategy, outlines, email, social, ads | $20/mo | Production-ready with review |
63| **Claude Code / Cursor** | Landing pages, interactive tools | $20/mo | Production-ready |
64| **Midjourney / DALL-E 3** | Ad creatives, social graphics, hero images | $10-30/mo | Production-ready |
65| **Runway / Pika** | Short-form video ads, social video | $15-95/mo | Needs editing |
66| **HeyGen / Synthesia** | AI spokesperson videos, personalized demos | $29-89/mo | Near-production |
67| **ElevenLabs** | Voiceover for ads, podcasts, video | $5-99/mo | Production-ready |
68| **Descript / Opus Clip** | Video editing, podcast clips, subtitles | $19-29/mo | Production-ready |
69| **Canva AI / Adobe Firefly** | Social graphics, presentations, one-pagers | $13-25/mo | Production-ready |
70| **Gamma / Tome** | AI decks, one-pagers, proposals | $10-20/mo | Production-ready |
71| **Perplexity / ChatGPT Search** | Research, competitive intel, data for content | Free-$20/mo | With verification |
72 
73## The Vibe Marketing Workflow
74 
75### Phase 1: Research & Strategy (30 min — AI-assisted)
76 
77**AI prompt chain for campaign strategy:**
78```
79Prompt 1 (Research):
80"You are a B2B SaaS marketing strategist. Research the top 5 competitors
81for [my company] in the [space] market. For each: positioning, content
82strategy, social presence, and what's working for them."
83 
84Prompt 2 (Strategy):
85"Based on the competitive landscape, propose a 30-day content campaign
86for [my company] targeting [ICP]. Include: content pillars, channel mix,
87posting cadence, and key metrics."
88 
89Prompt 3 (Refinement):
90"Narrow to the top 3 highest-ROI tactics. For each: specific execution
91steps, AI tools to use, and expected outcomes."
92```
93 
94### Phase 2: Content Generation (1-2 hours — AI bulk generation)
95 
96**The "prompt once, generate many" pattern:**
97 
98```
99Prompt:
100"You are a B2B SaaS copywriter specializing in [industry]. Using the
101following brand voice guide, generate a 30-day content calendar for
102LinkedIn with:
103- 5 long-form posts (educational frameworks)
104- 5 short-form posts (contrarian takes)
105- 5 engagement posts (questions, polls)
106- 5 case-study style posts (customer wins)
107- 5 carousel outlines (step-by-step guides)
108- 5 video scripts (60-second tutorials)
109 
110Brand voice: [paste voice guide]
111ICP: [describe target]
112Key topics: [list 3-5 topics]"
113```
114 
115This generates 30 pieces of raw content in one prompt. Of those 30:
116- 10 will be great with minor edits
117- 10 will be usable with significant edits
118- 10 will be garbage
119 
120Your job: identify the 10 great ones. Polish them in 15 minutes each.
121You've just created 2 weeks of content in 3 hours.
122 
123### Phase 3: Visual Generation (1-2 hours — AI creative)
124 
125**Social graphics pipeline:**
126```
1271. Canva AI: "Generate a LinkedIn carousel about [topic]. 6 slides.
128 Style: [brand colors], [typography], clean B2B aesthetic."
1292. Midjourney: "Professional B2B illustration for [topic]. Clean style,
130 [color palette], no text in image. --ar 16:9"
1313. Remove.bg + Canva: Combine AI image with copy overlay
132```
133 
134**Ad creative pipeline (30 min per variant):**
135```
1361. Claude: "Write 5 LinkedIn ad copy variants for [offer]. Each:
137 headline (under 150 chars), body (under 300 chars), CTA."
1382. Midjourney: Generate 3 image variants per copy variant
1393. Combine in Canva: image + copy overlay = ad creative
1404. Launch all 5 variants. Kill underperformers after 48 hours.
141```
142 
143### Phase 4: Video Generation (2-4 hours — AI video)
144 
145**Short-form video workflow:**
146```
1471. Claude: "Write a 60-second script about [topic]. Hook in first 3 seconds.
148 One key point. CTA at end."
1492. ElevenLabs: Generate voiceover from script (pick natural voice)
1503. Runway/Pika: Generate B-roll footage for key moments
1514. Descript/CapCut: Edit together — voiceover + B-roll + captions + branding
1525. Opus Clip: Auto-generate 5 short clips from a longer video
153```
154 
155**AI spokesperson video workflow (HeyGen/Synthesia):**
156```
1571. Claude: "Write a personalized demo video script for [customer name],
158 [title] at [company]. Address their specific [pain point]. 90 seconds."
1592. HeyGen: Create AI avatar video. Upload script. Select avatar.
160 Personalize with customer name on-screen.
1613. Send as personalized outreach — feels custom, costs $0.10 to produce.
162```
163 
164### Phase 5: Distribution & Testing (ongoing)
165 
166**AI-powered distribution:**
167```
168Prompt:
169"You are a social media distribution strategist. Here is our content
170calendar for the week. Generate:
1711. 3 X/Twitter thread versions of each long-form post
1722. 2 LinkedIn post variants (different hooks)
1733. 5 comment templates for engaging with other accounts
1744. 1 newsletter edition summarizing the week's insights"
175```
176 
177**AI-powered iteration:**
178After 1 week of posting:
179```
180Prompt:
181"Here are the analytics from last week's content: [paste data].
182Which posts performed best? Why? Generate next week's calendar
183doubling down on what worked and cutting what didn't."
184```
185 
186## The "Prompt-to-Publish" Pipeline (End-to-End)
187 
188**A complete vibe marketing campaign in 4 hours:**
189 
190```
191HOUR 1 — Strategy + Copy:
192- Claude: Generate campaign strategy, ICP targeting, channel plan
193- Claude: Write all copy — landing page, emails, social posts, ad copy
194- Claude: Write nurture sequence for leads
195 
196HOUR 2 — Visuals:
197- Midjourney/Canva AI: Generate hero images, ad creatives, social graphics
198- Gamma: Generate pitch deck / one-pager for sales enablement
199- v0/Lovable: Build landing page (or update existing)
200 
201HOUR 3 — Video (if needed):
202- Claude: Write video scripts
203- ElevenLabs: Generate voiceover
204- HeyGen/Synthesia: Generate AI spokesperson video (demo, explainer)
205- Runway: Generate B-roll
206 
207HOUR 4 — Launch & Automate:
208- Schedule all content (Buffer, Hootsuite, or native schedulers)
209- Set up email sequence (ConvertKit, HubSpot, Customer.io)
210- Launch ads (LinkedIn, Meta, Google)
211- Set up analytics and tracking
212```
213 
214**This is 2-4 weeks of traditional marketing work, compressed into 4 hours.
215A team of 1 with AI operates like a team of 5 without.**
216 
217## Content Atomization (Justin Welsh Method, AI-Accelerated)
218 
219**One core asset → 20+ derivative pieces:**
220 
221```
222CORE ASSET: 2,000-word blog post / framework / report
223 
224ATOMIZATION:
2251. LinkedIn post (long-form) — extract the framework
2262. LinkedIn post (short) — extract the contrarian take
2273. LinkedIn carousel (6 slides) — step-by-step visual
2284. X/Twitter thread (10 tweets) — break down the argument
2295. Newsletter edition — deeper dive with personal story
2306. YouTube Short / TikTok (60 sec) — say the one key insight
2317. LinkedIn video (3 min) — walk through the framework
2328. Podcast episode (15 min) — discuss with examples
2339. Instagram/TikTok carousel — visual version
23410. Reddit post — ask a question based on the insight
23511. Quora answer — answer a question using the framework
23612. Email to list — "I just published this"
23713. Ad creative — turn the framework into a lead magnet ad
23814. Sales one-pager — framework as leave-behind
23915. Cold email hook — use the insight as an opener
24016. Webinar topic — expand into a 30-min presentation
24117. Guest post pitch — offer the framework to a publication
24218. SlideShare / SpeakerDeck — upload the carousel as a deck
24319. Infographic — visual summary (Canva AI)
24420. Community post — share in Slack/Discord groups
245 
246AI can generate every one of these from the core asset in under 3 hours.
247```
248 
249## Expert Vibe Marketers to Follow
250 
251| Expert | Platform | Vibe Marketing Specialty |
252|---|---|---|
253| **Dave Gerhardt** | @davegerhardt (X) | B2B marketing that feels human, not corporate |
254| **Amanda Natividad** | @amandanat (X) | Zero-click content, audience-first strategy |
255| **Justin Welsh** | @thejustinwelsh (X) | Content operating system, repurposing at scale |
256| **Harry Dry** | @harrydry (X) | Visual proof marketing, Marketing Examples |
257| **Ross Simmonds** | @TheCoolestCool (X) | Content distribution, repurposing, AI content |
258| **Blake Emal** | @heyblake (X) | Copywriting frameworks, AI-assisted copy |
259| **Alex Garcia** | @alexgarcia_atx (X) | Marketing experiments, AI tools |
260| **Aadit Sheth** | @aaditsh (X) | AI content workflows, prompt engineering |
261| **Kieran Flanagan** | @searchbrat (X) | AI + marketing (Zapier CMO) |
262 
263## Output Format
264 
265```
266VIBE MARKETING SPRINT — [Week/Campaign]
267 
268GOAL: [specific outcome: signups, demos, revenue]
269ICP: [target audience]
270TIMEFRAME: [1-week sprint]
271 
272DAY 1 — Strategy & Copy:
273- AI tools used: [Claude / ChatGPT]
274- Assets created: [landing page copy, 10 social posts, 3 email drafts]
275 
276DAY 2 — Visuals:
277- AI tools: [Midjourney / Canva AI / Gamma]
278- Assets: [hero image, 10 social graphics, pitch deck]
279 
280DAY 3 — Video:
281- AI tools: [HeyGen / Runway / ElevenLabs / Descript]
282- Assets: [1 explainer video, 3 short clips, voiceover]
283 
284DAY 4 — Launch:
285- Schedule: [all content scheduled, emails queued, ads live]
286- Analytics: [tracking URLs, UTM parameters, dashboard]
287 
288DAY 5 — Review & Iterate:
289- Top performers: [which content won]
290- Next sprint: [what to double down on]
291```
292 
293## Implementation Checklist
294 
295- [ ] AI-generated copy reviewed by human (AI writes, human edits)
296- [ ] AI-generated images checked for brand consistency
297- [ ] All claims fact-checked (AI hallucinates statistics)
298- [ ] Video content reviewed for accuracy before publishing
299- [ ] No AI "slop" — every piece earns its place or is cut
300- [ ] UTM parameters on all links for attribution
301- [ ] A/B test variants generated (at least 2 per ad/post)
302- [ ] Analytics dashboard live before launch
303 
304## Quality Check
305 
306Before delivering, verify:
307 
308- [ ] Output matches the user's stated request
309- [ ] Named frameworks or sources are reflected in the recommendation
310- [ ] The deliverable is specific enough for an agent to execute
311- [ ] Any assumptions, risks, or dependencies are explicit
312- [ ] No unsupported claims, invented facts, or private/internal references are included
313 
314## Common Pitfalls
315 
3161. **AI slop at scale.** "30 AI blog posts in 1 hour!" = 30 pieces of
317 unreadable garbage. Fix: AI writes first drafts. Humans edit for voice,
318 accuracy, and insight. 10 great posts > 100 AI-slop posts.
319 
3202. **No fact-checking.** AI confidently hallucinates statistics, customer
321 quotes, and case studies. Fix: Every stat needs a source. Every quote
322 needs attribution. Every claim needs verification.
323 
3243. **Brand voice dilution.** "Write a LinkedIn post" without brand voice
325 context = generic AI voice. Fix: Paste your brand voice guide into every
326 content prompt. Better yet: save it as a custom GPT.
327 
3284. **One-and-done prompting.** First AI output is never the best. Fix:
329 "That's good. Now write 4 more variants with different hooks." Pick
330 the best. Iterate. AI gets better with direction.
331 
3325. **AI-only content with no human insight.** AI can summarize what's
333 already been said. Only humans can say something genuinely new. Fix:
334 Your unique data, experiences, and opinions are the moat. AI is the
335 amplifier, not the source.
336 
3376. **Ignoring distribution.** AI makes creation 10x faster. Distribution
338 is still the bottleneck. Fix: Spend 20% of time creating, 80%
339 distributing. AI can help with distribution copy too.
340 
341## Execution Artifacts
342 
343- `references/framework-notes.md` — Named frameworks and reference tables
344- `templates/output-template.md` — Deliverable shell for agent output
345- `scripts/check-output.py` — Lightweight deliverable validator
346 
347## Related Skills
348 
349- `vibe-coding` — AI dev tools for building GTM assets
350- `ai-content-creation` — AI workflows for blog, social, email, ads
351- `ai-video-creation` — AI video tools for marketing
352- `content-marketing` — Content strategy, SEO, pillar pages
353- `social-media-strategy` — Per-platform content, posting cadence
354- `copywriting` — Marketing copy fundamentals
355- `ad-creative-strategy` — Creative formats per platform, testing
356- `growth-hacking-tactics` — Rapid experimentation and growth loops

Discussion

Alternatives

Make a demo video with OpenScreenMake a polished video of an app or a feature with OpenScreen's MCP tools, from storyboard to recording, editing and export, then either attach it to a pull request or draft a post on X. Use when the user asks for a demo, a demo video, a screen recording, a product video, a launch clip, a video for X/Twitter, LinkedIn or a README, or to show a change in a pull request ("add a video to the PR", "show the feature to reviewers"). Also use to set OpenScreen up for an agent, and to continue an OpenScreen demo in a new session.Creator · MITFFmpeg for Video ProductionVideo and audio processing with FFmpeg. Use for format conversion, resizing, compression, audio extraction, and preparing assets for Remotion. Triggers include converting GIF to MP4, resizing video, extracting audio, compressing files, or any media transformation task.Creator · MITfake-screencast — screenshots → simulated screen recordingTurn static SCREENSHOTS into a simulated screen recording (TSX) — a fake screencast with an animated cursor that eases to targets and clicks, a browser URL bar that updates per page, hard-cut navigations, in-page filter crossfades, smooth scroll, and a ken-burns zoom onto the payoff. Use when a beat needs to show a walkthrough of a web app / dashboard / settings page and you'd rather build it from screenshots than get (or ask for) a real screen recording — "fake a screen recording", "turn these screenshots into a screencast", "simulate clicking through the dashboard", "animate this UI walkthrough", "cursor moving through the app". Built on remotion/src/lib/screencast.tsx. This is a technique WITHIN step 2 (make-tsx): defer timeline/render/bake orchestration to make-tsx and raw crash-free TSX rules to vidtsx-2d-generator. Not for a single static page clone (use WebBrowserFrame directly) and not when the point is genuine proof of real speed/output (use a real recording).Creator · MITKhan explainerUse when the user wants a Khan Academy style explainer video, a blackboard or whiteboard lesson, a hand-drawn chalk-talk animation, a short narrated video that teaches a concept ("explain X in a video", "explainer video", "teach X in 30 seconds"), or a tutorial that draws hand-written arrows, circles and captions over product screenshots ("draw over the UI", "annotated walkthrough"), or clips cut from a YouTube video or podcast where the speaker's real audio plays under a blackboard drawn to it ("khanify this video", "clip this with the Khan visual"), especially when it must be free, local, and use no paid APIs or keys. macOS only.Creator · MIT