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AI Agents in PowerShell: Skills Over Prompts
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AI Agents in PowerShell: Skills Over Prompts

30 December Online

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About this event

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.

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Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

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