Design and refactor beam tracking ML/RL pipelines (CSI teacher vs RSRP student), enforce shape contracts, and produce inference-safe models.
4.3
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Machine Learning
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This skill addresses a specialized beam tracking ML/RL domain with clear guardrails and workflow steps. The description is somewhat vague (lacks concrete triggers for invocation), but the SKILL.md provides useful high-level guidance including a 4-step distillation workflow, shape contract enforcement, and architectural separation concerns. Structure is reasonable for a concise skill. Novelty is moderate—while beam tracking distillation is domain-specific, the core ML/RL patterns are standard. A CLI agent could benefit from this guidance but would need more concrete examples or code templates to fully execute the pipeline without significant token expenditure.
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