This is Part 3 of a three-part series on building Claude skills.
The workflow we're building today—whitepaper to finished blog posts—is just the example. What you're actually learning is how to turn any repeatable task into a reusable AI capability. Once you understand how skills work, you can apply the same approach to research workflows, email drafting, data analysis, client deliverables, whatever your work requires.
Here's where we've been:
- Part 1: One skill. One task. Consistent every time.
- Part 2: A second skill for a different job.
- Part 3 (this week): Chain them into a workflow.
New to skills? Part 1 covers what they are and how they're different from GPTs and Gems.
This week's playground: Chaining skills into a content workflow
In Part 1, you built a skill that extracts insights from whitepapers and creates blog outlines. In Part 2, you built a skill that writes in your voice.
Separately, each skill saves time. Together, they become a system.
This week, you're going to chain them—upload a whitepaper, ask Claude to run the workflow, and get three finished blog posts in your voice, delivered as a Word doc you can edit and publish.
One input. Three finished posts. Your voice. A file you can download.
Why this matters
Individual skills are useful. Chained skills are a workflow.
Most people use AI one step at a time. Extract insights, then start a new conversation to write the first post, then another conversation for the second, and then copy everything into a doc manually. Each step works, but the handoffs add friction.
When you chain skills, you're not managing steps—you're handing off the whole job. You've trained an expert on your process: what to look for, how to structure it, how to sound like you. Now hand it the input and let it work.
This is where AI stops being a tool you use and starts being a process you delegate.
What you need before starting
Make sure you have both skills from Parts 1 and 2 installed:
- Whitepaper to Blog Outline skill (Part 1)—extracts insights and creates structured outlines for your target audience
- Writing Voice skill (Part 2)—writes in your voice based on your analyzed style guide
If you skipped ahead, go back and build them first. The chain only works if the pieces exist.
Your AI experiment: Build the full content workflow
Here's what we're building: a single prompt that orchestrates both skills in sequence and outputs a Word document.
👉 Time to tinker: Make sure both skills are installed and upload your whitepaper. Now let Claude work.
📝 Prompt:
Here is a whitepaper. Extract insights and create blog outlines, then write full posts in my voice. Put all outputs into a Word doc I can download.
You'll get a Word document with the insights, outlines, and blog posts ready to edit and publish.
💡 Pro tips: Get more from your workflow
- Add a review checkpoint. If you want to approve outlines before Claude writes the full posts, split the workflow into two prompts. First: "Extract insights and create outlines using my whitepaper skill." Review and adjust. Then: "Now write full posts from these outlines using my writing voice skill, and give me a Word doc."
- Extend the workflow. Once you see how chaining works, you can add more steps. Run the posts through an editing skill. Generate social snippets for each post. Create an email newsletter version. The pattern scales.
What you've learned
Over three weeks, you've built:
- A skill that extracts insights and creates outlines—so you never re-explain that task
- A skill that captures your writing voice—so AI stops sounding generic
- A chained workflow that combines both—so you go from raw material to finished content in one shot
But more importantly, you've learned how to build skills. The whitepaper-to-blog-posts example is just one application. The same approach works for:
- Research workflows (gather sources → synthesize → create briefing doc)
- Client deliverables (intake form → analysis → formatted report)
- Email sequences (brief → draft variations → compile for review)
- Data analysis (raw data → insights → executive summary)
Any task you do repeatedly, the same way, is a candidate for a skill. Any sequence of tasks is a candidate for a chain.
And if you're not on Claude—ChatGPT has skills too. No excuses.
What did you discover?
This series wasn't about writing a prompt. It was about delegating a job.
Once these skills are built, you trigger them whenever you need them. No re-explaining. No starting over.
What workflows are you thinking about next?
Until next time — keep tinkering, keep prompting, keep innovating.
