#enterprise-workflows

#enterprise-workflows

"The agent underneath is actually more universal than we thought." Instead of building new agents for every use case, companies should rely on a single general agent powered by a library of skills, Zhang said. Skills are "organized collections of files that package composable procedural knowledge for agents," Zhang said. They are simply folders that contain whatever an agent needs to complete a task consistently and efficiently.

Anthropic's new 'Skills' feature lets Claude autonomously perform structured tasks, another sign that AI agents are moving beyond chat and into action. Model builders are moving beyond simple AI chatbots to creating comprehensive assistants that, in the words of AI dignitary Ethan Mollick, " do real work " in enterprise workflows. Anthropic is continuing its push in this area with a new feature, Agent Skills, which allows Claude to improve its execution of specific tasks. When relevant, the model can automatically access folders containing specific instructions, scripts, and other resources, then act on them with human approval.

A recent MIT report, titled "The GenAI Divide: State of AI in Business 2025," reveals that while U.S. businesses have collectively invested between $35 billion and $40 billion in AI initiatives, almost all of them (95%) are seeing zero return on their investments or no measurable impact on profits. Only 5% are seeing "value" from AI.

GitHub's shift to externalize the Remote MCP server is a technically deliberate response.