What problem does it solve? Navigating a large skill library of 88 entries (7 cognitive atoms, paper pipeline, research methodology, and AI/ML tools) is slow and error-prone without a structured index. This Skill provides a navigation layer that filters the core research stack by layer, query, and context, returning a structured list of matching skills. ## Core Features & Use Cases - Query-Based Skill Retrieval: Accepts layer, query, and context inputs and returns a skill_list of matching skills with names and descriptions, validated against the IO contract. - Contract-Enforced Error Handling: Returns an empty list with search suggestions when no match exists, and returns an error status with recovery advice when required parameters are missing instead of silently executing. - Use Case: A researcher asks which skills relate to hypothesis generation; the index returns hypothesis-generation and data-driven-hypothesis with descriptions, ready for the task router to invoke. ## Quick Start Ask the agent to search the core layer index for skills matching your research query, for example by providing layer 'core' and query '假设生成' to retrieve hypothesis-related skills.