
There is one feature in Claude Code that most people aren't utilizing, yet it effectively functions as a cheat code for productivity.
We’re talking about Skills.
Think of a Skill like a programmable Standard Operating Procedure (SOP). You show Claude exactly how to execute a task step-by-step, save it, and the system retains that capability permanently.
However, the real utility isn't just in building a single skill—it lies in a technique called "Daisy Chaining."
After refining workflows for content production, coding, and marketing, it has become clear that linking these skills together creates a unified workflow that standalone Agents simply can't match.
In this guide, we’ll walk you through how to use Skills to automate 80% of a creative process and how to build them using Claude's native tools.
It’s time to move beyond copy-pasting prompts.
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Creating a single skill is useful. Linking them together is transformative.
To illustrate this, let's look at a production workflow used to research and write technical video content. This process uses a "chain" of five specific skills within a single context window.
Effective content never starts from scratch; it starts with data.
The process begins with a custom YouTube Transcript Fetcher Skill.
This is a simple Python script (generated by Claude) where a user provides a URL, and the skill pulls the full transcript.
Once the context is loaded, there is no need to re-explain the topic. The next step is simply invoking the Script Writer Skill.
Because the transcripts are already present in the context window, the model analyzes the angles, identifies information gaps, and drafts a script that builds upon the existing research data.
This is where the chain becomes powerful. Most workflows stop at the draft. The "Daisy Chain" method continues in the same thread:
By chaining these skills, the workflow moves from raw research to a fully distributed piece of content without ever leaving the chat or losing context.
A common question arises: "Why not just use Agents for this?"
Many teams rely on specific Agents—an Email Agent, a LinkedIn Agent, a Script Agent.
The problem is memory.
When an Agent is spun up, it typically starts a new, clean thread. It has no memory of the previous work.
To get a LinkedIn Agent to write a post about a video script, a user usually has to:
With Skills, everything happens in one thread.
The research is loaded once. Every subsequent skill, Scripting, Packaging, LinkedIn, Email, reads from that same shared pool of context. There is no repetition.
The context stays consistent, meaning the output is of consistently higher quality.
Anthropic has provided the infrastructure to let Claude build them for you.
Here is the process to create a custom skill using the Skill Creator.
First, access the public skills repository. In the Claude Code terminal, run:
slash plugin marketplace add anthropic skills
Then, install the example skills plugin:
/plugin add example-skills
You need a process to teach Claude. For example, to create a Landing Page Auditor skill, find a comprehensive checklist or SOP for high-converting landing pages. Simply copy that text and paste it into the Claude thread.
Once the checklist is in the context, issue this command:
"Use the Skill Creator skill to make a landing page auditor based on the comprehensive checklist above."
Claude uses its own "Skill Creator" skill to write the code for the new skill.
It loads the knowledge into a reusable format. Now, whenever a landing page URL is provided, simply invoking the "Landing Page Auditor" will run that perfect checklist every time.
The difference between an amateur and a professional using AI isn't the model they use, it's the workflow they build.
If your team is constantly starting new chats and copy-pasting context, you are performing the digital equivalent of manual labor.
Start building your chain:
It takes minutes to set up, and it saves hours every single week.
Would you like us to generate the specific prompt you need to feed the "Skill Creator" to automate that task right now? Contact us!
We have probably built something similar before, let us help you