Is a skill the same as a system prompt?

A skill is related but more structured. System prompts are usually short personality instructions. Skills are full expert frameworks — they contain the actual knowledge, decision trees, and processes a specialist would use. They're longer, more opinionated, and designed to be installed permanently rather than typed each session.

Do skills work with free AI tools?

Yes. Skills work with free tiers of Claude, ChatGPT, and Perplexity. Some tools like Claude Code require a subscription, but the skill format itself has no cost. Most skills in the directory are free and open source.

How many skills can I install at once?

There's no hard limit. Most people start with 3–5 skills covering their core workflow. You can install all 394+ skills at once if you want, though more focused installs tend to produce better results since the AI has clear, specific context to work from.

What is a skill? — mktgskills.ai

A skill is a markdown file that tells your AI how to think about a specific marketing topic.

That's it. No plugin. No API key. No installation wizard. Just a text file — structured in a way that gives your AI the expertise of a specialist, on demand.

The one-sentence version

When you install a skill, you're loading a set of frameworks, heuristics, and expert knowledge directly into your AI's context — so it stops being a generalist and starts thinking like someone who's done this specific thing hundreds of times.

What a skill actually contains

Open any SKILL.md file and you'll find something like:

A role definition — "You are a senior SEO strategist with 10 years of B2B experience..."
Frameworks and mental models — the actual thinking process an expert uses
Decision trees — when to do X vs Y, and why
Output formats — so results come back structured and usable
Examples — so the AI has a reference point for quality

Skills are written by practitioners — people who actually do this work. They encode how an expert thinks, not just what to do.

What a skill is not

Not a plugin. Skills don't connect to APIs or run code. They're read by your AI, not executed by it.

Not a prompt template. A skill is designed to be installed once and persist across your project. You're not copying a prompt every time — you're giving your AI permanent expertise.

Not proprietary. Most skills are open source, published on GitHub, and free to install, fork, and modify.

Not magic. Skills make your AI more effective at a specific task. They don't make it infallible. You still review, edit, and apply judgment.

Why this approach works

AI tools like Claude, Cursor, and Lovable all share a common feature: they read files in your project to understand context. Skills exploit this.

When a skill is installed, the AI reads it before responding to any relevant request. It now has a specialist's framework in memory — without you having to explain it every time.

The result: instead of getting a generic answer about "email marketing best practices," you get a response structured around actual conversion frameworks, segmentation strategy, and deliverability considerations — because your AI just became an email specialist.

The difference in practice

Without a skill:

"Write me a subject line for this email."

The AI produces something generic. Maybe decent, maybe not. You iterate.

With the email-marketing skill installed:

"Write me a subject line for this email."

The AI thinks through open rate psychology, applies known subject line frameworks, considers your list's context, and gives you three options with rationale. You pick one and move on.

Same prompt. Completely different output. That's a skill.