Remember that scene in The Matrix where Neo learns kung fu in seconds? "I know kung fu," he says, and suddenly he does. This week, with Anthropic's announcement of Claude Skills, we're closer to that reality than you might think—except this time, you're teaching the AI instead of the other way around.
Claude Skills is deceptively simple: drop a markdown file into a folder, describe how to do something specific to your workflow, maybe add a script or two, and Claude can now do it.
Need it to follow your brand guidelines? Create a skill.
Want it to understand your industry's regulatory constraints? That's a skill.
Have a specific way you analyze customer feedback or structure campaign briefs? Skills.
You're essentially creating custom onboarding documents that transform a general-purpose AI into a specialist who understands your work. And because these skills stack—Claude automatically identifies which ones it needs and loads them on demand—you're not building isolated tools. You're building a knowledge base that compounds.
Another puzzle piece that just locked into place is the Microsoft 365 integration. It is what most companies actually run on, and now Claude can search your SharePoint documents, surface email threads from Outlook, and pull context from Teams conversations.
Imagine your morning routine shifting: instead of hunting through yesterday's messages, Claude delivers a brief. It summarizes team discussions, extracts action items (including ones from conversations you weren't even in), and automatically builds evolving knowledge base documents from scattered threads. This isn't theoretical—it's live for Team and Enterprise users right now (your IT department needs to configure it, though).
Quick sidenote: What makes this particularly interesting is how badly Microsoft fumbled this opportunity themselves. Copilot should have been this. Microsoft had the data, the distribution, and the existing workflows, and somehow Anthropic is the one connecting the dots.
The logical next step is already visible if you squint. Claude identifies your to-dos from scattered conversations and documents. Then, using the Skills you've taught it—how to draft proposals in your company's format, how to structure client reports, how to analyze campaign performance—it starts solving those to-dos automatically. Not all of them, not immediately, but the ones that follow learnable patterns.
We're watching the emergence of a new role: the AI tutor. Someone who understands both the work and how to codify that understanding into skills Claude (or any other AI agent) can execute. This might be your next competitive advantage—not just using AI, but teaching it to think like your best people.
— Torsten & Peter
Field Note: Scale Without Losing Control
We heard from a CMO who proudly said, “We’ve rolled AI out across every department.” Three weeks later, they were knee-deep in tool chaos and couldn’t tell which version of a campaign was live. That’s the myth: scale doesn’t mean maturity — it just multiplies whatever’s broken.
So we pulled them back to the 4-Step Rollout Model we use ourselves:
Pilot → start with one win, one workflow.
Package → document it, make it repeatable.
Share → spread the success story, not just the tool.
Expand → roll out with just enough governance to stay clean.
Scaling AI isn’t about doing more. It’s about repeating what works until it becomes culture.
» Inside Pro: Full AI Maturity Ladder and Rollout Planner templates from the Scaling & Governance Kit. Click here to upgrade to Pro.
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