A comprehensive skill designed for researching on complex diagnosis problems.
3.1
Rating
0
Installs
AI & LLM
Category
The skill addresses a potentially valuable use case (diagnosis research via sub-agent) but lacks sufficient detail for practical use. The description is vague about what 'diagnosis problems' means and what capabilities the research agent provides. The single function signature with 'year' and 'week' parameters is unclear without context on what diagnosis data or workflow these relate to. The structure is simple and clear, though minimal. Novelty is moderate as coordinating research sub-agents could reduce token costs for complex diagnosis workflows, but the mock implementation provides no evidence of actual functionality. To improve: clarify the diagnosis domain, explain the research workflow, document expected inputs/outputs, and provide meaningful implementation details or references.
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