marketingskills: A Library of Marketing Skills for AI Coding Agents

What marketingskills Provides and Who It Is For

marketingskills is a set of Markdown files that give AI coding agents specialized frameworks and workflows for marketing tasks. Rather than asking an agent to generate marketing copy from scratch, the skills provide structured approaches for specific tasks: planning an A/B test, writing cold email sequences, auditing conversion rate issues, performing competitor analysis, or optimizing for AI-powered search engines. The library targets technical marketers and founders who use coding agents for their work and want the agent to apply established marketing methodology rather than generic advice. It works with any agent that supports the Agent Skills specification at agentskills.io, including Claude Code, OpenAI Codex, Cursor, and Windsurf.

How the Skills Are Structured and How They Relate

Each skill is a Markdown file in the skills/ directory. Skills are organized around specific task types: ab-testing, ad-creative, ads, ai-seo, analytics, aso, attribution, churn-prevention, co-marketing, cold-email, community-marketing, competitor-profiling, competitors, content-strategy, copy-editing, copywriting, cro, customer-research, and directory-submissions are among the skills listed in the README. The product-marketing skill is the foundation. The README states that every other skill reads product-marketing first to understand the product, audience, and positioning before acting on any specific request. The skills reference each other; each skill's documentation includes a Related Skills section that maps the dependency chain. The repository's ASCII diagram in the README shows product-marketing at the center, with seven skill types branching from it.

Installing and Using the Skills in Claude Code

The repository includes a .claude-plugin/ directory at the top level, indicating native Claude Code plugin integration. AGENTS.md contains instructions for agent-based installation. The CLAUDE.md file in the repository provides Claude Code-specific guidance. The top-level directory also includes validate-skills.sh and validate-skills-official.sh for validating skill files, and a scripts/ directory for tooling. The README points to CONTRIBUTING.md for details on adding or modifying skills, and notes that contributions are welcome. For any agent that follows the Agent Skills spec, adding the skills directory to the agent's context makes the skills available when the agent recognizes a relevant task and reads the appropriate skill file. The repository homepage is marketing-skills.com, and the README links to a companion guide at codingformarketers.com for users who are new to coding agents and want an orientation before using the skills.

The Partner and Verified Integration System

The README describes a partner model that funds the library's development. Verified Partners are tool integrations disclosed in the README under a dedicated block, listed alongside neutral options in the tools/REGISTRY.md. The rules for partner inclusion are documented in tools/PARTNERS.md. At the time of the last README update, partners include Converly (conversion tracking) and Ploy (AI website and growth platform), each with integration guides in tools/integrations/. The README states that partners are vetted and disclosed, and that they never influence what the core skills recommend. The skills themselves remain MIT-licensed and free.

Where the Library Has Limits

marketingskills provides frameworks and workflows, not automation. A skill file tells the agent what questions to ask, what frameworks to apply, and what outputs to produce, but the agent must still interpret the skill correctly and the user must still supply product context and review outputs. The product-marketing skill is the foundation, but the README does not populate it with real product data; that context must be added by the user before any skill produces relevant output. Skills are also not executed code: they are Markdown instructions that the agent reads during a session. A poorly configured agent or one that does not fully read the skill before responding may ignore the framework entirely. The library includes validate-skills.sh and validate-skills-official.sh for structural validation of skill files, but these scripts check format and completeness, not the quality of the marketing output the agent produces. There is no automated benchmark for whether the skills improve agent performance on real marketing tasks.

Comparison to Asking an Agent Without a Skill

An AI coding agent asked to write a cold email without any skill loaded will produce output based on its training data. marketingskills' cold-email skill adds a specific framework: identifying the ideal customer profile, researching the recipient, following a structure for the email body, and defining a clear call to action. The practical difference is that the skill gives the agent a consistent methodology to follow rather than generating an email from general patterns. The same applies to CRO, SEO, and analytics tasks. A custom CLAUDE.md entry can achieve a similar effect for one skill in one project, but marketingskills packages more than 40 skills in a shareable, versioned format that works across projects and agents without per-project configuration. The README credits Corey Haines as the author and links to the Conversion Factory agency, Swipe Files newsletter, and an AI Marketing Training course as companion resources. The Magister autonomous marketing agent at magistermarketing.com is described as an implementation that uses these skills as its operating layer.

Maintenance and Release History

The last push to the main branch was on 2026-09-05, and the current version is v2.11.1. The release notes for v2.11.1 describe updates to the ai-seo skill including new format volatility documentation at references/format-volatility.md, which tracks how AI citation formats change over time. v2.11.0 added a new events skill covering hosting, sponsoring, speaking, and attending events. v2.10.5 added Founding Marketing enrichments across 15 skills. The VERSIONS.md file in the repository documents the version history in detail. The library is MIT-licensed and uses a partners.json file to manage the partner block in the README, with a sync script at scripts/sync-partners.mjs. Skills are versioned independently within the library; the skill table in the README lists each skill's description, and individual skill directories contain their own documentation.

Editorial conclusion

marketingskills is a practical starting point for technical marketers and founders who want AI coding agents to help with real marketing work, not just content generation. The library is only as useful as the agent that consumes it: skills are instructions in Markdown, and their effectiveness depends on the agent reading and following them. The product-marketing skill is the prerequisite for every other skill, so populating that file with accurate product context before using other skills will determine how well the agent's output fits your actual product. The last push was on 2026-09-05 with version v2.11.1 the current release.

Frequently asked questions

Official sources

1. Official documentation
2. Official README
3. Project repository
4. Release notes