Results for “service-discovery”

Discovers and installs agent skills from the open ecosystem when users ask for help with specific tasks or express interest in extending capabilities.

Build and maintain a custom project skill repertoire. Always use at new project bootstrap and when users ask for new domain capabilities. Detect active assistant folders first, recommend at least 5 skills per search batch, confirm installs, normalize install paths, and regenerate workflow files.

Discovers and installs agent skills from the open ecosystem using the Skills CLI, helping users find capabilities for tasks like web development, testing, and design.

Use when users do not know which skill fits a task, need to search available skill catalogs, compare candidates, install a matching skill, or route work to the best existing capability.

Discovers and evaluates community skills from skills.sh and awesome-openclaw-skills when local skills don't cover a need, scoring credibility and installing top recommendations with permission.

Discovers and invokes agent skills by mapping tasks to development phases, with core operating behaviors for assumption surfacing, confusion management, and scope discipline.

Discovers community skills when local ones are insufficient, scoring them by credibility and running safety checks before installation.

Guides users through structured discovery to create a shared knowledge repository capturing company or team distinctiveness, with options to link or extend existing repositories.

Identify skill coverage gaps and improvement opportunities. Use when analyzing missing skills for a task, creating skill gap issues, evaluating skill effectiveness, or refining skill progressive disclosure.