Marketing Skills for AI Agents — Complete Taxonomy & Master Map

Browse Skills Full Taxonomy Map

Marketing Skills Guide

Marketing Skills for AI Agents

A practical guide to choosing and using the right skills for your marketing team: function-by-function coverage, persona-based installs, workflow recipes, and integration options.

Last updated: April 9, 2026 Scope: 16 functions + infrastructure Status: Live draft

190+

skills mapped

130+

repositories

30+

mcp servers

9

platforms

Section 1

The 16 Marketing Functions

Function-level coverage map with lifecycle stage, skill density, and top repos to start with.

# Function Lifecycle Skills
1 Search & Discovery (SEO / AEO / GEO) Awareness -> Acquisition 14
2 Paid Media & Advertising Awareness -> Conversion 5
3 Conversion & CRO Consideration -> Conversion 8
4 Content Marketing & Editorial Awareness -> Retention 10
5 Product Marketing All stages 8
6 Demand Generation & Pipeline Awareness -> Qualification 4
7 GTM & Outbound Acquisition -> Revenue 8
8 Email & Lifecycle Marketing Engagement -> Advocacy 5
9 Social Media & Community Awareness -> Advocacy 7
10 Analytics & Measurement All stages 6
11 Marketing Operations & Automation Infrastructure 9
12 Brand & Creative All stages 4
13 Retention & Customer Marketing Retention -> Advocacy 4
14 Affiliate & Partner Marketing Acquisition -> Revenue 3
15 Localization & International Expansion 2
16 PR, Comms & Influencer Awareness -> Trust 3
01

Search & Discovery (SEO / AEO / GEO)

Awareness -> Acquisition

Personas: SEO Specialist, Content Marketer, Technical Marketer, Growth Engineer

Outcomes: Organic traffic, AI citations, featured snippets, domain authority

Top Repos

Browse all skills in directory
02

Paid Media & Advertising

Awareness -> Conversion

Personas: Paid Media Specialist, Performance Marketer, Growth Marketer, CMO

Outcomes: ROAS, CPA, qualified pipeline, ad-driven revenue

Top Repos

Browse all skills in directory
03

Conversion & CRO

Consideration -> Conversion
04

Content Marketing & Editorial

Awareness -> Retention
05

Product Marketing

All stages
06

Demand Generation & Pipeline

Awareness -> Qualification
07

GTM & Outbound

Acquisition -> Revenue
08

Email & Lifecycle Marketing

Engagement -> Advocacy
09

Social Media & Community

Awareness -> Advocacy
10

Analytics & Measurement

All stages
11

Marketing Operations & Automation

Infrastructure
12

Brand & Creative

All stages
13

Retention & Customer Marketing

Retention -> Advocacy
14

Affiliate & Partner Marketing

Acquisition -> Revenue
15

Localization & International

Expansion
16

PR, Comms & Influencer

Awareness -> Trust

Section 2

Comprehensive Skill Suites

Multi-function stacks that behave like a full marketing operating system.

146,948 stars

Everything Claude Code

affaan-m/everything-claude-code

Coverage: Content, Brand, Research, Social, Ops

Best for: Highest-quality baseline for most teams

1,674 stars

AI Marketing Skills

ericosiu/ai-marketing-skills

Coverage: Demand Gen, Analytics, Outbound, Content

Best for: Technical operators using executable scripts

375 stars

OpenClaudia Skills

OpenClaudia/openclaudia-skills

Coverage: SEO, Content, Email, Ads, Analytics, Growth

Best for: Modular pick-and-choose implementation

Section 3

What to Install First, by Role

Find your role, install in order. Each skill is ranked by time-to-value for that persona.

Section 4

Workflow Recipes

Battle-tested multi-skill chains mapped to common marketing delivery problems.

Full SEO + GEO Audit

Problem: Need traditional search plus AI answer-engine visibility report.

Example Prompt

Audit technical SEO and AI search visibility (ChatGPT, Perplexity, Google AI Overviews) and rank fixes by impact/effort.

Competitor Battlecard Sprint

Problem: Sales needs same-day competitor battlecards.

Example Prompt

Research competitor positioning, pricing, and objections, then produce a sales-ready battlecard with citations.

Outbound in 30 Minutes

Problem: Need signal-based outbound list and sequence fast.

Example Prompt

Build a signal-based target list and a 4-touch personalized outbound sequence for our ICP.

Affiliate Program From Zero

Problem: Need full affiliate/referral setup.

Example Prompt

Design commission tiers, onboarding sequence, landing page copy, and tracking requirements for our affiliate program.

Section 5

Data & Platform Connectors (MCP)

Live platform access layer for ads, analytics, email, SEO, and prospecting data.

Category Server Platforms Best For
Ads + Analytics elmandalorian-thx/mcp-marketing Google Ads, Analytics, Meta, YouTube Unified cross-platform reporting
Email damientilman/mailchimp-mcp-server Mailchimp (53 tools) Audience, campaign, and automation control
SEO Data seranking/seo-data-api-mcp-server SE Ranking Rank tracking + competitor SEO data
SEO Data dataforseo/mcp-server-typescript DataForSEO APIs SERP and keyword pipelines
Ads google-marketing-solutions/google_ads_mcp Google Ads Official Google Ads control and reporting
CRM + Outbound thevgergroup/apollo-io-mcp Apollo.io Prospect enrichment and outbound targeting

Section 6

Framework-Driven Skill Repos

These repos go beyond basic prompts — they're built on real marketing methodologies, books, and proven frameworks. Think structured playbooks, not one-off scripts.

487 stars

wondelai/skills

Book-backed SKILL.md implementations (Dunford, Cialdini, Hormozi, JTBD, CRO).

npx skills add wondelai/skills

Section 7

Pitfalls to Avoid

Common failure modes that destroy quality, trust, or ROI in agent-led marketing workflows.

1.Installing many skills before defining the bottleneck to solve.

2.Publishing directly without human review.

3.Skipping brand voice configuration first.

4.Automating broken strategy instead of fixing it.

5.Running outbound without enrichment/context data.

6.One-shot prompting instead of chained workflows.

7.Tracking only time saved instead of pipeline/revenue impact.

8.No weekly feedback loop from performance back into prompts.

9.Over-automating high-trust customer interactions.

10.Ignoring agent compatibility and skill format constraints.

11.Treating AI research as truth without source validation.

12.Not pinning versions or change-managing updates.