Definition of Skill Repository A skill repository is a managed collection of reusable skills available to an AI agent for performing different tasks and subtasks. It can contain both pre-installed skills supplied as part of the agent’s default capabilities and custom skills that have been subsequently developed, tested, validated, and approved for reuse. Rather than requiring the agent to consider every available skill directly during every task, the repository provides an organized source from which a task-relevant subset of skills can be retrieved. For a skill repository $\mathcal{S}={s\_1,s\_2,\ldots,s\_n}$, where $\mathcal{S}$ (skill repository) represents the complete collection of available skills and each $s\_i$ (reusable skill) represents an individual skill, a new task $\tau$ (target task) can be used as the basis for task-aware skill retrieval. Retrieval may use skill metadata, semantic matching, keyword or metadata search, capability matching, constraint filtering, ranking, or combinations of these methods to derive $\mathcal{S}\_{\tau}\subseteq\mathcal{S}$, where $\mathcal{S}\_{\tau}$ (task-relevant skill set) contains the skills considered sufficiently relevant or potentially useful for the particular task. For more complex repositories or tasks, this retrieval and filtering process may be delegated to a specialized skill-selection subagent operating within its own context window, allowing it to examine the task requirements and available skill descriptions without unnecessarily occupying the main agent’s working context. The resulting task-relevant skill set can then be made available to the main agent, which dynamically determines which skill to invoke for a particular subtask or execution state as the task progresses. The repository therefore serves not merely as storage, but as an organized and extensible skill-management layer supporting skill registration, discovery, retrieval, selection, reuse, and continued expansion across different agentic tasks. ...