1Start with skills worth borrowing
Tour useful free skills and learn what to check before installing one.
live workshop · rsvp open
Claude Skills: Borrow, Tweak, Build, Chain, Schedule, Connect
Nate Grahek AI Educator @ The Rundown University
Build reusable AI skills in Claude and ChatGPT, then chain, schedule, and connect them into repeatable workflows.
- When
- Wednesday, September 16, 2026 · 2:00 PM EDT Wed, Sep 16 · 2:00 PM EDT
- Length
- 3 hours · 2 sessions
About this live course
Skills now run in both Claude and ChatGPT. A skill is a small file that tells your AI how you want a job done, so you stop re-explaining the work every time you open a new chat.
Part 1 runs Wednesday, September 16 at 1:00 PM Central and is a guided tour of the full loop: borrow free skills worth trying, tweak one until it sounds like you, build one from work you have already done, and test that it fires when it should.
Part 2 runs Thursday, September 17 at 1:00 PM Central and moves from one useful skill to a working system. We will chain skills, schedule them, connect email, files, and calendars, and decide where human approval belongs. Expect live builds and plenty of room for questions.
Both sessions are free to attend live. Replays require a paid membership to The Rundown University.
In this session, you'll learn
5 outcomes2Make a borrowed skill yours
Adjust instructions, voice, and output so a public skill fits the way you work.
3Build and test your first skill
Turn a task you have already done well into a reusable skill, then fix the trigger that decides when it runs.
4Chain and schedule repeatable work
Pass output from one skill to the next and put recurring workflows on a schedule.
5Connect tools without losing control
Bring email, files, and calendars into a skill while keeping human approval at the right checkpoints.
What to expect
Live on YouTube
Come back to this page when the session starts and join with one click.
Hands-on workflows
Real setups you can copy, not slideware.
Open Q&A
Bring the AI workflows you are trying to make more dependable.
Replay for 48 hours
The recording lives on this page for 48 hours after the session, with an AI summary PDF.
A preview of what we'll cover
- A clear way to identify repeated tasks that deserve a skill.
- A practical method for borrowing, adapting, and testing skills in Claude or ChatGPT.
- A working structure for handing output from one skill to the next.
- A safer approach to schedules, connectors, and human approval checkpoints.
- Simple habits for keeping a growing skill library useful and organized.
Tools used in this session
ClaudeChatGPT
Your instructor
Nate Grahek AI Educator @ The Rundown UniversityNate is a SaaS founder and Fractional CMO who helps product-driven businesses build marketing systems that actually work — without the fluff. He's spent years helping founders and operators cut through marketing complexity and put the right things on autopilot.
At Rundown University, Nate brings that same hands-on, no-jargon approach to AI education. His workshops and courses focus on practical automation and AI workflows you can deploy the same day — no engineering background required. If you've ever wanted to use AI to get your time back, Nate shows you exactly how.
