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A Skill is a named capability your primary agent can activate mid-call: a focused playbook (instructions) plus optional dedicated tools. Skills follow progressive disclosure (the Anthropic Agent Skills pattern) so the agent stays fast:
  • Discovery (call start): only each skill’s name + description are loaded — about 30-50 tokens each — via a built-in use_skill tool. The full instructions are not in the prompt yet.
  • Activation (the model calls use_skill): the chosen skill’s instructions are layered into the system prompt and its tools are unlocked — inline, in the same agent loop. There is no sub-agent spawn and no extra round-trip, so a skill adds no latency the way a delegated agent would.
Skills are additive: the base prompt and existing tools stay, the skill stacks on top, and it remains active for the rest of the call. (This is the opposite of a handoff, which replaces the agent one-way.)

When to use it

  • Your agent handles several distinct procedures (refunds, scheduling, troubleshooting) and you don’t want every procedure’s full instructions in the prompt for every call.
  • A procedure needs its own tools that should only be reachable once the agent has committed to that procedure.
  • You want the model to decide which playbook fits, rather than cramming all of them into one long system prompt.

Quickstart

At call start the model sees a use_skill tool listing refunds and its description. When a caller asks for a refund, the model calls use_skill({ skill_name: 'refunds' }); from that point on the refund playbook is in its context and process_refund is callable.

The Skill type

Naming rules

Skill tool names must not collide with:
  • the reserved built-ins transfer_call, end_call, handoff_to, use_skill;
  • your top-level tools;
  • another skill’s tools.
These are checked when you build the agent, so a collision fails fast with a clear error instead of surfacing mid-call.

Behaviour notes

  • Idempotent: calling use_skill again for an already-active skill is a no-op (it returns already_active, no double-layering).
  • Stackable: activating a second skill layers it on top of the first; both stay active.
  • Realtime and Pipeline: skills work the same in both modes — Realtime pushes the new instructions/tools via a session update, Pipeline swaps them into the next turn.
  • With handoffs: a handoff_to replaces the prompt, so it resets the active skills to the target agent’s skills.

Skills vs. the other primitives