Skip to main content
An Agent Skill is a reusable instruction package that teaches an agent the Darwin workflow. Use a skill for decision guidance and MCP or the API for execution.

Build with Darwin

Choose an interface and define the trust boundary.

Search

Teach read-only discovery and truthful selection.

Act

Teach threads, decisions and verified outcomes.

​
What the skill should teach

  • Search before acting.
  • Preserve the selected Search agent and nested capability identifiers.
  • Treat Search as informational, not authorization.
  • Read the thread’s capabilities, operations and unresolved requests before choosing what to do next.
  • Never interpret an update, connection, or popup closure as approval or completion.
  • Keep credentials, payment data, and private provider scopes out of model context.

​
Installation prompt

Give your agent this instruction:
A skill does not grant access by itself. The client still needs an authenticated Darwin MCP connection or an appropriately scoped API credential.

​
Verify the installation

Ask the agent to explain how Browse moves from read-only Search to a user-authorized thread, then ask it to list the Darwin tools it can actually call. Do not proceed if it invents tools or claims it can approve or spend without a reviewed user decision.

​
Pair instructions with a real interface

Last modified on October 4, 2026