AI tools are evolving fast. One of the biggest shifts is the move from one-off prompts to reusable AI skills. Instead of rewriting the same instructions every time you use ChatGPT, Claude or Copilot, you can package your best workflows into portable skills that deliver consistent, repeatable results.
In this special episode, recorded as the Digital Marketing Podcast celebrates its 16th anniversary, Daniel Rowles and Ciaran Rogers explore why AI skills could fundamentally change the way marketers work. They explain how skills fit alongside projects, agents and prompts, why they are becoming an emerging standard across the major AI platforms, and how to start building your own library of reusable expertise.
Along the way, they also reflect on sixteen years of podcasting, discuss the rapid pace of AI adoption within organisations, and share practical advice for creating skills that become more valuable every time you use them.
How AI skills differ from prompts, projects and agents.
Why reusable skills help create consistent marketing outputs across teams.
How to build a brand skill that captures tone of voice, design principles and coding standards.
Using skills to create websites, dashboards, articles and creative assets that stay on brand.
Why updating a skill after every use makes it progressively more accurate.
How skills can be shared between team members and even moved between AI platforms.
The relationship between ChatGPT Agents, Claude Projects, Gemini Gems and Microsoft Copilot.
How to turn your best prompts into reusable skills.
Why marketers should organise AI conversations more deliberately as AI memory improves.
Practical advice for creating libraries of reusable marketing workflows.
Develop your best prompts first, then convert them into reusable skills.
Treat skills as repeatable processes rather than one-off conversations.
Build separate skills for different purposes, such as branding, content creation, web development or analysis.
Use multiple skills together to combine different areas of expertise within a single task.
Continuously refine your skills by asking AI to update them after each iteration.
Think carefully about when to use a prompt, project, skill or agent depending on the task.
Organise your AI workspace to avoid confusion as conversations and memories accumulate.
Create shared skills that help maintain quality and consistency across your entire marketing team.
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