AI Agents in PowerShell: Skills Over Prompts
Details
The last stream showed that AI agents are simple.
This one shows how they stay simple as they grow.
Claude Skills helped popularize the idea of skills-based agents. That implementation is bash-centric.
This session explores the same architectural pattern, implemented natively in PowerShell.
Skills aren’t a Claude feature.
They’re a design pattern.
Bash is one implementation. PowerShell is another.
In this livestream, we evolve a basic PowerShell AI agent into a reusable system by replacing prompt sprawl with structured, discoverable skills.
Skills are defined as folders with metadata and intent, not giant prompts stuffed into a context window.
We’ll cover:
- Why skills beat prompts as agents grow
- Implementing Claude-style skills in native PowerShell
- Skill discovery and progressive disclosure
- Safety rails and constrained execution
- Keeping agents composable without frameworks
- Why PowerShell’s object model matters here
This session is for builders who already got an agent working and immediately asked, “How do I not ruin this?”
About Doug
Doug Finke is a 16-time Microsoft MVP and creator of the PowerShell AI module — chat in your console, NLP in your scripts — plus other popular tools like PowerShell + Excel integration.
With 40+ years in tech (from punch cards to AI), Doug now focuses on the next evolution: building autonomous tools and showing others how to think, type, get with AI — not just code around it.
AI summary
By Meetup
Online livestream for builders with an existing PowerShell AI agent: replace prompt sprawl with structured skills to build reusable, safe agents.
AI summary
By Meetup
Online livestream for builders with an existing PowerShell AI agent: replace prompt sprawl with structured skills to build reusable, safe agents.
