
Microsoft MVP | Author | Speaker | Power BI & Excel Developer & Instructor | Power Query & XLOOKUP | Purpose: Making life easier for people & improving the quality of information for decision makers
In a clear, practical YouTube walkthrough, Wyn Hopkins [MVP] introduces viewers to Excel’s new AI-driven feature set centered on Custom Skills. The video, presented as a hands-on demo, is organized with timestamps and short examples that make it easy to follow. Consequently, the material serves both beginners and experienced users who want to see how Copilot integrates with everyday Excel tasks. The presentation emphasizes that the feature sits in Copilot for Excel and is currently a Beta capability.
Wyn Hopkins explains that Custom Skills are essentially reusable, written instruction sets that teach Excel’s AI how to perform repeatable tasks in the way your team prefers. These skills are not traditional macros; instead, they act as contextual guides for the AI so it can reproduce consistent outcomes across files and workflows. For example, Hopkins shows how a single skill can standardize invoice reviews or convert formulas in a way that matches an organization’s style. Overall, the feature aims to reduce repeated explanations by embedding expectations into the skill definition.
The video demonstrates the required folder setup and the key file that powers each skill, namely the SKILL.md file within a subfolder in OneDrive. Hopkins walks through the file’s frontmatter, which uses metadata such as name and description, and its body, which contains the step-by-step instructions written in plain Markdown. He also highlights practical naming rules, like lowercase and hyphenation, so the skill folder name and the SKILL.md name match. As a result, Copilot can detect relevant skills and apply them when the document context matches the described scenario.
To make the feature tangible, the video includes short demos: formatting a sheet, undoing an action, converting VLOOKUP to XLOOKUP, and running a built-in calendar sample. Hopkins times each segment, so viewers can jump to the exact moment they want to review. The calibrated demos show not only success paths but also how to refresh and activate skills when Excel does not pick them up immediately. Therefore, viewers gain a realistic view of daily use rather than a purely theoretical description.
Custom Skills offer strong benefits: they increase consistency, automate repeatable work, and allow users to scale tailored processes without IT involvement. However, Hopkins balances this optimism by explaining the tradeoffs: while independence speeds deployment, it also creates governance and versioning challenges when many people publish skills in a shared environment. Moreover, storing skills in OneDrive simplifies access but raises questions about access control and auditability that teams must address. Consequently, organizations must weigh the immediate productivity gains against longer-term maintainability and security policies.
Hopkins pays attention to common failure modes, including mismatched names, syntax errors in the YAML frontmatter, and the need to refresh skills after edits. He suggests simple best practices like keeping examples small, naming consistently, and using companion files for reference rather than embedding everything in the single Markdown file. Additionally, Hopkins cautions that debugging can take time when complex logic or external references appear, and he recommends iterative testing using small datasets. In short, the path to productive automation requires careful design, testing, and lightweight governance.
Overall, the YouTube video by Wyn Hopkins [MVP] offers a practical entry point for Excel users who want AI-assisted automation tailored to their workflows. The feature suits analysts, finance teams, and power users who run repeatable tasks and want consistent, documented outcomes without deep programming skills. Yet, teams should plan for tradeoffs such as governance, access control, and ongoing maintenance so that skills remain reliable and secure. Finally, since the feature is still in Beta, organizations should pilot use on low-risk processes and refine governance before broader rollout.
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