In a recent LinkedIn post, Linas Beliūnas discusses a significant, yet often overlooked, advancement in artificial intelligence: Anthropic’s Claude Skills 2.0. Beliūnas argues that this development marks a fundamental shift in how AI can be utilized, moving beyond the conventional chatbot interaction model.
According to Beliūnas, many users still interact with AI tools like Claude in a repetitive, manual fashion. He describes this common approach:
Most people still use Claude like a chatbot: Open chat → paste prompt → tweak → repeat tomorrow.
However, Beliūnas posits that this is not the optimal or most powerful way to leverage advanced AI. He introduces the concept of “Skills” as a paradigm shift for power users. A Skill, as defined by Beliūnas, is a persistent file that teaches Claude the user’s specific working methods. This allows the AI to automate tasks and apply user-specific parameters without constant manual input.
The Power of Persistent AI Workflows
Beliūnas highlights the benefits of building and utilizing these Skills. He explains that once a Skill is created, Claude can automatically adapt to the user’s style, execute defined workflows, follow specific steps, and even trigger actions when necessary. This eliminates the need for repetitive prompting and setup, transforming the AI experience.
He elaborates on this transformation, stating:
Write it once, and Claude automatically: → Applies your style → Runs your workflow → Follows your steps → Triggers when needed. No copy-paste. No setup.
This automation, according to Beliūnas, elevates AI from a simple conversational tool to a sophisticated operating system capable of managing complex workflows in the background.
Claude Skills 2.0: A Leap in AI Functionality
The recent release of Claude Skills 2.0, Beliūnas argues, represents a significant enhancement to this AI operating system concept. He points out that this version introduces advanced testing and refinement mechanisms managed by the AI itself.
Beliūnas details some of these new capabilities, noting:
Your Skill gets tested by AI → Claude benchmarks it vs itself → Sometimes deleting your Skill improves output → It rewrites triggers so it actually fires.
These features, he suggests, ensure that AI-driven workflows become more robust, efficient, and reliable. The AI actively participates in optimizing the Skills, a level of self-improvement that Beliūnas believes is crucial for realizing the full potential of AI as an operational system.
From Chatbot to Operating System
Beliūnas emphasizes that the core innovation lies in turning AI into an “AI operating system.” This means the AI doesn’t just respond to commands but proactively runs processes, manages tasks, and adapts to the user’s operational needs. He concludes by mentioning his detailed guide on building and optimizing these AI Skills, which aims to help users avoid common pitfalls and fully harness this technology.
📝 About This Content
This article is based on insights shared by Linas Beliūnas on LinkedIn.
📅 Originally posted on March 17, 2026 | View original post on LinkedIn →