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beam-tracking-ml

4.3

by majiayu000

66Favorites
114Upvotes
0Downvotes

Design and refactor beam tracking ML/RL pipelines (CSI teacher vs RSRP student), enforce shape contracts, and produce inference-safe models.

beam-tracking

4.3

Rating

0

Installs

Machine Learning

Category

Quick Review

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.

LLM Signals

Description coverage4
Task knowledge6
Structure6
Novelty5

GitHub Signals

49
7
1
1
Last commit 0 days ago

Publisher

majiayu000

majiayu000

Skill Author

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Publisher

majiayu000 avatar
majiayu000

Skill Author

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