SharePoint: Build Custom AI Skills

by HubSite 365 about Microsoft

Software Development Redmond, Washington

Pro User SharePoint Online Learning Selection

Build custom AI Skills in SharePoint to encode business rules and reuse insights across Power Platform and Copilot

Key insights

custom AI skills in SharePoint are reusable, site-level AI workflows that capture repeatable tasks and rules for a specific SharePoint site.
They let teams teach AI in SharePoint how to handle naming, formatting, review steps, and other routine work.
Authors with edit permissions write skills in plain language inside the SharePoint AI chat and then save the result.
Skill definitions are stored as Markdown (.md) files in the site’s Agent Assets library.
SharePoint can automatically load a relevant skill from a user prompt or let users explicitly invoke a skill by name.
Skills are designed to reuse the same workflow across files, libraries, lists, and quick steps on the site.
Skills run using native SharePoint AI features and do no custom code or external system calls.
They respect existing SharePoint permissions and help enforce site-level governance.
Key benefits include better consistency across content, less repetitive work to reduce manual work, and a no-code authoring model that non-developers can use.
That speeds routine tasks and keeps results aligned with team rules.
Microsoft began a public preview rollout in mid-April 2026 and planned general availability from late May through early July 2026.
The feature is described as enabled by default, though tenant or preview opt-in details may vary by flight or configuration.

Microsoft recently published a demonstration video that introduces custom AI Skills in SharePoint, and the recording centers on a community demo by Zach Rosenfield. The presentation shows how teams can teach SharePoint’s built-in AI to follow business rules, naming conventions, and repeatable processes so that the same logic can be reused across libraries, lists, and site styling. In this report, we summarize the video’s main points, explain practical tradeoffs, and highlight governance and rollout considerations for administrators.

What the demo shows

The video demonstrates creating a reusable workflow in the SharePoint AI experience by describing the task in natural language and saving the generated result as a skill. Zach walks through saving a skill artifact into the site’s Agent Assets library where it lives as a Markdown (.md) file inside a Skills folder, making the definition visible and versionable. He further shows how the AI can either auto-load a relevant skill based on a user prompt or run an explicitly invoked skill by name to enforce consistent behavior.

Moreover, the demo emphasizes that authors with edit permissions can create these skills without writing code, and that the skills chain built-in SharePoint AI actions like content understanding, summarization, and list updates. Zach also demonstrates sample scenarios such as document review checklists and metadata standardization to show how a single skill can reduce repetitive work. Overall, the presentation frames skills as a site-level way to capture repeatable procedures for later reuse.

How custom skills work in practice

In practice, a skill is a multi-step workflow asset that the SharePoint AI engine can call when processing content or answering user prompts. Skills reuse the platform’s native AI capabilities and intentionally do not run custom code or call external systems, which simplifies security and reduces integration complexity. Because definitions are stored in Markdown files in the site, teams can inspect and update skill text while keeping version history and site context intact.

Another operational detail shown is that skills respect existing SharePoint permissions, so the AI cannot perform actions that a user is not already permitted to do. This alignment with SharePoint access controls adds a governance layer, however it also means that skill effectiveness depends on correct permission design and careful role assignment. Consequently, organizations must treat skill definition and site permissions as linked governance tasks.

Benefits and tradeoffs

The demo highlights clear benefits: greater consistency across similar tasks, lower manual effort for recurring processes, and a lower barrier to entry for non-developers who can author workflows in natural language. Because skills are reusable and site-local, teams can build tailored procedures that reflect their naming, formatting, and review standards. Therefore, sites gain predictable outcomes without specialized engineering skills.

However, the approach involves tradeoffs. While the code-free model speeds adoption, it limits advanced customization and integration with external systems, which some scenarios require. Additionally, site-local skills encourage strong local control but can create fragmentation when many sites implement slightly different versions of the same policy, so organizations must weigh local flexibility against the need for tenant-wide consistency.

Governance, rollout, and admin considerations

Microsoft’s guidance reported in the video indicates a staged public preview and rollout schedule, with a preview beginning in mid-April 2026 and general availability planned through late May to early July 2026. The feature appears to be enabled by default at the site level, and that default behavior raises important administrative questions about discoverability and tenant governance. Some community testers also noted that tenant-level preview opt-in may still be required in certain flight scenarios, so admins should confirm tenant settings during rollout.

Because skills obey SharePoint permissions, governance focuses on controlling who can author and publish skills, reviewing skill content for compliance, and ensuring site owners coordinate with central policies. Administrators should also consider how to audit skill usage and how to standardize naming conventions if cross-site consistency is a goal. Thus, rollout planning should include both technical enablement and policy alignment.

Challenges and practical recommendations

Key challenges include discoverability of skills across sites, testing and validation of skill behavior, and managing divergent site-level rules that may conflict with enterprise standards. To address these issues, teams should establish clear authoring guidelines, use naming patterns for skill files, and create a review process before skills are broadly adopted. Moreover, documenting skills in team sites and pairing authors with compliance reviewers will reduce errors and increase trust in automated processes.

Looking ahead, organizations must balance rapid adoption with control. While the lack of external integrations simplifies risk profiles, some advanced scenarios will likely need richer APIs or export/import workflows for skills. Therefore, teams should pilot skills in a few sites, gather feedback, and iterate before scaling, while administrators monitor permission settings and audit trails to maintain security and consistency.

In summary, the Microsoft video introduces an approachable way to make SharePoint AI repeatable and aligned to site-specific needs through custom AI Skills in SharePoint. The feature promises faster, more consistent work with low technical barriers, yet it also requires deliberate governance, coordination, and planning to avoid fragmentation and to meet enterprise standards. As organizations evaluate this capability, they should weigh the benefits of site-local agility against the need for broader control and consistent policies across the tenant.