[ ANTHROPIC SKILLS ]
Anthropic Skills and Claude Agent Development
Anthropic's Skills standard, opened in October 2025, gave the agent ecosystem its second open primitive after MCP. Skills package repeatable workflows that an agent can load on demand, edited by the operator without touching code. Combined with the Claude Agent SDK, Skills are how Claude becomes a production agent platform, not just a chat model.
[ THE LEVENT POINT OF VIEW ]
Skills turn the operator into the agent designer.
The interesting thing about Skills is not the technical mechanism. It is the role shift. The recruiter, analyst, or compliance officer can author and tune the workflow that the agent runs, without a sprint of engineering work. Engineering builds the platform. Operators build the workflows on top of it. That is how agentic AI scales beyond the pilot team.
[ WHAT THIS MEANS IN PRACTICE ]
Progressive disclosure is the pattern Skills was designed around. The base context stays lean; the agent loads a Skill only when it needs it. We use the same pattern in our Recruitment Lifecycle Platform, where role-specific evaluation Skills load only when the agent processes a candidate for that role. Token costs stay flat as the catalogue grows.
Anthropic Managed Agents (in beta in early 2026) let Claude run agentic workloads inside Anthropic's infrastructure rather than self-managed via the Agent SDK. We engage on both: Managed Agents when the customer wants minimum operational surface, Agent SDK when they need deeper integration with their own runtime.
The authoring workflow for Skills is what makes the operator handover real. We deliver the platform with a Skill template, a validation step, and a preview environment so the recruiter, analyst, or operations lead can write, test, and ship a Skill in an afternoon. The first thing we do on every engagement is teach the operator team to author at least one Skill, because the platform that needs an engineer for every change is not the platform we are trying to ship.
Skills versus MCP is a question we get asked weekly. The short answer: MCP is how agents reach data and tools across the perimeter; Skills are how agents follow repeatable workflows inside the runtime. They compose. A Skill calls MCP tools to do its work; an MCP server might package multiple Skills as a domain-specific surface. We design them together because that is how Anthropic intended the standards to fit.
The Skills format is open. That matters for portability and for the broader ecosystem. We design Skills to be readable and revisable by non-engineers, because an opaque Skill is a black box that defeats the point.
[ HOW WE DELIVER THIS ]
How we deliver this
Engineering and Build delivers the Skills authoring layer and the agent platform underneath. Enable trains your operators to author and tune Skills. Operate manages the Skills catalogue in production with the same discipline as any other versioned artefact.
[ PROOF, NOT PROMISES ]
Accelerators that ship this in production today.
[ RECRUITMENT LIFECYCLE PLATFORM ]
Smarequ
An autonomous AI recruiter that screens, profiles, and orchestrates multi-round interviews. Designed to compress per-candidate processing from hours of recruiter time to minutes, with role-specific scoring the recruiter still controls.
See the accelerator →