I spend most of my weeks talking to leaders across industries about how they are using AI day to day. Last week I ran a lightning lesson on the Maven platform on workflow-based thinking, and hundreds of people signed up for it. The interest in the topic made me believe we are all beginning to ask a better question as leaders: how do we delegate the end-to-end work we do, rather than just doing one-off tasks faster.
Workflow-based thinking is what creates that leverage. But leverage that only lives with you personally has a ceiling. The thing that lets it scale, from you to your team to your whole organization, comes down to one distinction: the difference between a prompt and a Skill. That is what I want to walk through with you here.
The distinction: A prompt is something you say. A Skill is something your AI system keeps, so the task no longer depends on you remembering how to ask for it.
The Default
A prompt is where we all started. We write one when we need it, perfect it if the result is good, and save it if it's worth keeping: a Notes app, an email draft, a pinned Slack message. Then every time after that, we have to go find it and remember to use it.
A Skill skips that step. Anthropic, the company behind Claude, draws the line clearly in their own documentation. Prompts, in their words, "are the instructions you provide to Claude in natural language during a conversation. They're ephemeral, conversational, and reactive." Skills, on the other hand, "are folders containing instructions, scripts, and resources that Claude discovers and loads dynamically when relevant to a task." One disappears when the conversation ends. The other persists and loads itself the next time it is needed, without you asking.
Their own rule of thumb is worth quoting directly: "If you find yourself typing the same prompt repeatedly across multiple conversations, it's time to create a Skill."1
The Framework
Three questions decide which one you need:
Will this come up again? If it is genuinely one-time, a prompt is the right tool. Do not build infrastructure for a task you will never repeat.
Does it need to produce the same result every time, regardless of who runs it or how tired they are? A prompt drifts: phrased slightly differently each time, a step skipped, an old version grabbed by mistake. A Skill does not have that problem. It loads the same way every time, whether you are the one asking or someone else is.
Does this need to survive any one person being unavailable? If a task only works because it lives in one person's head, that is not a workflow. That is a dependency. A Skill turns it into something documented, something anyone can run, something that does not disappear when the person who built it goes on vacation or moves on.
Two or more yeses, build the Skill. Mostly no, the prompt is still the right call.
The Three Levels
INDIVIDUAL
This shows up as the task you personally repeat every week: a status update, a research summary, a first-draft outline. If it needs to look the same whether you write it fresh Monday morning or exhausted Friday afternoon, that is your first Skill. Start with the task you already know by heart. Save the quarterly ones for later.
TEAM
The test shifts from habits to consistency. If four people have each written their own prompt for the same task, none of them produce the same output, and quality depends on who happened to write the best one that day. A Skill is what gets handed to the whole team so the output stops depending on who is asking.
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ORGANIZATION
This becomes a governance question as much as a productivity one. A process that only works because it lives in one senior person's head is a risk the moment that person is out sick, on leave, or leaves the company. Turning that into a documented Skill is the AI-era version of writing down the standard operating procedure, the SOP, in the first place. The organizations that get ahead are the ones that noticed which knowledge was still living in someone's head and wrote it down before they had to find out the hard way that it mattered.
The ROI Unlock
The real gain is removing any one person as the single point of failure. A well-built Skill means the task runs the same way whether you are the one running it, a teammate is, or you are on a plane. That is hours back every week that would otherwise go to re-explaining, re-fixing, or redoing work that drifted from what was actually meant. At the organizational level, it is the difference between AI use that depends on your best people and AI use that survives them being unavailable.
The Rule
💡 A prompt you have to remember is a task depending on you. A Skill is a task depending on nothing but itself. If you catch yourself reaching for the same prompt a third time, that is your signal to stop asking and start building.
If you would like to build skills that drive real leverage, both in efficiency and in the kind of workflow thinking that is only possible now because of how these AI tools work, consider joining me in this course. Three outcomes leaders walk away with:
A working agentic AI system built around your real workflows, one that changes how work gets done across you, your team, and your organization.
10 to 50+ hours back a week, once the system is running.
A repeatable way to spot which of your tasks are ready to become a Skill, and the confidence to build one yourself.
Source:
1 Anthropic, Skills explained: How Skills compares to prompts, Projects, MCP, and subagents, March 2026
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