Claude Skills for PPC: How to turn one-off prompts into scalable systems

Despite all the shiny new capabilities at our disposal, many professionals seem stuck in a cycle of “AI Groundhog Day.” 

You open a chat window, carefully craft a prompt, paste in your context, and get a great result. An hour later, you do it all over again. If this is how you use AI to automate, you’re still doing manual work — you’re just doing it in a chat box.

To move from using AI to building with it, you need to shift from a human doer to a true human orchestrator. That means stopping one-off prompts and starting to build systems. In this new phase of AI automation, what you really need are AI skills.

I explore this shift in my new book, “The AI Amplified Marketer,” where I look at how the human element of marketing remains vital even as new AI tools and shifting expectations evolve at a breakneck pace.

Below, I’ll show how to use Skills, a newer AI capability, to make you more efficient when managing PPC.

What’s a Claude Skill?

While many marketers have used ChatGPT’s Custom Instructions to set a general approach for how their AI works, a Skill is a more rigorous definition of how the AI needs to do things. These instructions can help it deliver more predictable outcomes that fit your expectations.

For example, I recently used a standard chat to rate search terms. While the AI’s logic was sound, the output was inconsistent: one session returned letter grades, another gave a percentage out of 100, and a third used a 1-10 scale.

In a professional setting, this inconsistency is a problem. It makes it difficult to integrate that prompt into a larger workflow where unpredictable grading might confuse other tools or team members.

A Skill solves this by providing a reusable set of instructions. It defines which tools and logic to use for a complex task and ensures the results are formatted exactly the same way every time.

It’s what turns the AI from a temperamental assistant into a reliable professional teammate.

And thanks to more recent agentic capabilities in Claude, a Skill is like turning your best multi-step PPC playbook into something an AI can execute on demand by delegating the various tasks to the right tools and subagents.

Whether it’s your agency’s proprietary account audit checklist or your framework for mining search query reports, a Skill encodes that process. It turns your PPC expertise into a scalable system that anyone on your team can use with their AI.

Dig deeper: Agentic AI and vibe coding: The next evolution of PPC management

How to build your first AI Skill

Creating a Skill is more straightforward than it might sound and you can do it through a simple chat session with your AI. Provide an account audit checklist, a standard operating procedure (SOP) from your team, or a blueprint to Claude. You can then ask it to convert that process into the formal structure of a Skill.

Interestingly, when you ask Claude to help build a Skill, it uses a specialized Skill-building protocol. This ensures your final output is structured correctly, follows best practices, and remains consistent with Anthropic’s underlying architecture.

Technically, a Skill is saved as a Markdown (.md) file that contains the playbook for the task at hand.

This file can be stored locally on your computer if you’re concerned about data privacy. Alternatively, you can share it in a central cloud repository. This makes it easy for your team to update and deploy best practices across your entire organization.

You don’t have to start from zero. Many pre-built Skills are available on platforms like GitHub. You can find examples for various marketing tasks, download them, and adapt them to fit your specific needs and workflows.

How to use a Skill in PPC

To use a skill, first make sure there are some available in your account.

Then, just tell the AI the task you want to do.

The AI will look through connected Skills and, if it finds one that matches the task, it will use those instructions to perform the work.

Sidenote: This means it is important not to have competing skills in your account. Imagine what could go wrong if you did: with two skills that both do Google Ads audits, you lose the predictability a Skill was supposed to give you in the first place, because it may randomly pick a different one and do the work in different ways as a result.

Dig deeper: Agentic PPC: What performance marketing could look like in 2030

PPC Skills need real-time data

A Skill provides powerful logic, but without access to live account data, it remains theoretical.

A Skill can define an analysis, such as “review search terms from the last 14 days with costs over $50 and zero conversions.” However, it doesn’t know how to pull that data from Google Ads on its own.

In the past, the workaround was to manually download static data, like a CSV from the Google Ads interface or a Google Ads Editor file. You would then feed this file to the AI as context. This works, but it’s slow, manual, and the data is outdated the moment you download it.

A more modern approach uses a Model Context Protocol (MCP) to connect your AI and its Skills to other systems, such as live data sources. For example, using the Optmyzr MCP, your Skill can dynamically pull the exact Google Ads data it needs, when it needs it. This connection turns a static set of instructions into a living, responsive tool. (Disclosure: I’m the cofounder and CEO of Optmyzr.)

Dig deeper: From scripts to agents: OpenAI’s new tools unlock the next phase of automation

From grunt work to system oversight

Combining a Skill with a tool like an MCP is where the real transformation happens. Your AI moves from being an assistant that requires constant direction to a system that can manage a process. It transitions from giving you ideas to executing your vision.

Let’s look at a common PPC task:

• Task: Search Term Analysis to Eliminate Irrelevant Clicks
• A Skill without tools is a task-oriented assistant: It might instruct you: “Paste in your search term report as a CSV, and I will identify potential negative keywords.” You’re still the one doing the grunt work of retrieving data and implementing the findings.
• A Skill with tools acts as a junior manager for that specific process: It can be configured to: “Pull the search term report for the last 7 days via the MCP, identify terms with high spend and no conversions, and apply them as exact match negatives to the appropriate campaign.” The entire workflow is handled, and your role shifts to one of oversight.

When you combine structured logic (Skills) with live data and execution capabilities (tools), you’re building more than a chatbot; you’re building a reliable teammate. It’s a grounded, practical system that handles defined tasks, freeing you up to be the orchestrator of your strategy.

Dig deeper: Scaling PPC with AI automation: Scripts, data, and custom tools

4 PPC Skills you can build today

To move from theory to practice, let’s look at four concrete examples of PPC Skills. In each case, notice how connecting these Skills to live tools transforms the AI from a passive analyst into an active participant.

1. Search term mining

This Skill’s logic guides the AI to analyze a search query report to find wasted spend and opportunities.

• Without tools: You provide a CSV. The Skill returns a structured list of recommended negative keywords and new keyword ideas. You have to implement them manually.
• With tools (MCP): The Skill automatically pulls the latest search query report data, identifies the negative keywords, and uses a tool function to apply them directly to your Google Ads account.

2. Ad copy generation

This Skill takes a landing page URL and target keywords to generate ad copy variations based on value propositions and user intent.

• Without tools: The Skill produces headlines and descriptions in a text format. You copy and paste them into Google Ads.
• With tools (MCP): The Skill finds underperforming ad assets in your account, and then generates the ad copy and pushes the new ads directly into the correct ad groups, potentially even setting up a new ad experiment.

3. Account auditing

This Skill runs a predefined checklist against an account, looking for issues like missing ad extensions, campaigns limited by budget, or ad groups with low CTR.

• Without tools: The Skill generates a report that lists all the problems it found. You then have to log in to the account and fix each one.
• With tools (MCP): The Skill not only identifies that an ad group is missing a callout extension but can also apply a relevant, pre-approved extension from extensions used elsewhere in the account. It doesn’t just report the problem; it fixes it.

4. Budget reallocation

This Skill analyzes campaign performance data to find opportunities to shift budget from underperforming campaigns to those with higher potential returns.

• Without tools: The Skill provides a recommendation, such as: “Decrease Campaign A’s budget by 20% and increase Campaign B’s budget by 15%.”
• With tTools (MCP): The Skill performs a dynamic analysis, pulling in exactly the right data with the appropriate lookback and time segmentation, and then executes the budget change directly, ensuring budgets are optimized as soon as the opportunity is identified.

The future of your role: From PPC doer to PPC designer

The combination of Skills and tools enables you to move from playing with AI to having AI do meaningful work. For years, AI has been good at generating ideas but weak at executing them inside the ad platforms. This solves the “last mile problem” by giving AI the logic, data, and permissions to act.

This also signals a change in the role of the PPC professional. Your job will shift from doing the repetitive work to designing the systems that do the work. Instead of manually analyzing reports and making changes, you will spend more time designing Skills, defining the rules and guardrails for automation, and reviewing the outcomes.

We’re at a point where the large language models are capable, the tools for connecting them to platforms are available, and the interfaces make it possible for non-developers to build. It’s time to rethink your processes and get AI to be a real teammate.

Dig deeper: AI tools for PPC, AI search, and social campaigns: What’s worth using now

The end of endless prompting

The cycle of endless prompting is a dead end. It keeps you in the role of a manual operator when you should be a systems designer. By embracing Claude Skills, you’re doing more than just working faster; you’re changing the very nature of your job. You’re moving from “doing PPC work” to “designing the PPC systems” that perform that work with predictability and at scale.

This is the ultimate expression of the AI-amplified marketer: building a true partner that codifies your expertise into a reliable, efficient engine.

The first step is to look at your daily tasks through the lens of a designer. What repetitive process is ready to be turned into your first Skill?