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Don't Build Agents, Build Skills Instead – Barry Zhang & Mahesh Murag, Anthropic

AI Engineer · 2025-12-08 · Read on 2026-08-23

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Key points, each with its quote

  • Anthropic is shifting focus from building specialized agents to building reusable 'Skills' that package procedural knowledge.
  • Agents have high intelligence but often lack the domain expertise required for real-world tasks like tax preparation or scientific research.
  • Code is viewed as the universal interface to the digital world, allowing a thin agent scaffolding (bash and file system) to handle diverse use cases.
  • Agent Skills are organized folders containing composable procedural knowledge, including scripts as tools, markdown instructions, and assets.
  • Skills solve issues with traditional tools by being self-documenting, modifiable, and stored in the file system rather than consuming context window space.
  • Skills are progressively disclosed: only metadata is shown to the model at runtime, with full details loaded only when needed.
  • The Skills ecosystem includes foundational skills (e.g., document creation), third-party partner skills (e.g., Browserbase, Notion), and enterprise-specific skills.
  • Enterprise teams use Skills to encode organizational best practices, code styles, and workflows for internal software.
  • Skills complement MCP servers; MCP provides connectivity while Skills provide the expertise and workflow orchestration.
  • Non-technical users in finance, legal, and recruiting are creating Skills, making agents more accessible for daily work.
  • Future evolution of Skills includes testing, evaluation, versioning, and explicit dependencies between Skills and packages.
  • Skills enable continuous learning, allowing agents to create and refine their own capabilities over time based on experience.
  • The long-term vision is a collective, evolving knowledge base where Skills created by one user benefit others in the community.
  • Anthropic compares Models to processors, Agent Runtimes to operating systems, and Skills to applications that deliver value.

Key points are LinkDigest's own; each quote was checked word for word: ✓ found in the post, ✗ not found.

Transcript

[music] All right, good morning and thank you for having us again. Last time we were here, we're still figuring out what an agent even is. Today, many of us are using agents on a daily basis. But we still notice gaps. We still have slots, right? Agents have intelligence and capabilities, but not alw…

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