Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add LeadMagic/gtm-skills --skill vibe-marketinggit clone --depth 1 https://github.com/LeadMagic/gtm-skillsWrote 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/leadmagic/gtm-skills/vibe-marketing)<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/vibe-marketing"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/vibe-marketing/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/leadmagic/gtm-skills/vibe-marketing"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/vibe-marketing.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 | $0.00119 | $0.03847 |
| Opus 5 | $0.00060 | $0.01924 |
| Sonnet 5 | $0.00024 | $0.00769 |
| Haiku 4.5 | $0.00012 | $0.00385 |
Grade A, and why
vibe-marketing 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 — 'Vibe coding' applied to marketing: describe, generate, iterate
- Gary Vaynerchuk — Content at scale: 64 pieces of content per day per platform — Content at scale: 64 pieces of content per day per platform
- Dave Gerhardt (Exit Five) — B2B marketing that doesn't feel like marketing — B2B marketing that doesn't feel like marketing
- Amanda Natividad (SparkToro) — Zero-click content, audience-first AI — Zero-click content, audience-first AI
- Harry Dry (Marketing Examples) — Show, don't tell (visual proof) — Show, don't tell (visual proof)
- Justin Welsh — Content operating system, repurposing lattice — 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 / Jesse | 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 |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago Changed adecd9a73c7e
- 11d ago First seen · 356 lines · 119 tokens per session scan A 6fae8534034f
vibe-marketing is a skill published in the GitHub repository LeadMagic/gtm-skills (49 stars, last pushed 4d ago), licensed MIT. It adds 119 tokens to every session and 3,847 once invoked, about $0.0006 per session on Opus 5. 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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