skill-finder

To make an ai-agent discover and install missing capabilities, use a deterministic workflow that searches skill registries, installs the matching skill into the workspace, and reads its SKILL.md file to activate it immediately.

The best way to bootstrap a new integration is to trigger proactive skill discovery, which searches registries for skills matching the requested service, installs the chosen skill, and activates its capabilities without manual intervention.

Skill discovery automates agent self-extension by detecting capability gaps, querying registries for relevant skills, installing the target skill automatically, and reading its configuration to enable immediate activation for the new task.

Yes, you can use registry-search to locate skills, and the automated workflow handles the installation and activation seamlessly by installing the skill into the workspace and reading its SKILL.md to enable it without manual steps.

No dependencies are required to automate skill installation and bootstrap workflows, as the process relies on a deterministic workflow using built-in functions to find, install, and activate skills directly from the registry.

You should not use automated skill discovery when a specific capability is already present in the workspace, as the workflow is designed specifically to detect missing capabilities and bootstrap new integrations on demand.