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training-log-analyzer

2.9

by OneWave-AI

108Favorites
115Upvotes
0Downvotes

Track workouts, stats, progress over time. Identify improvement areas, plateaus, rest/recovery needs, peak performance timing, injury risk.

fitness tracking

2.9

Rating

0

Installs

Data & Analytics

Category

Quick Review

The skill provides a basic framework for training log analysis with clear intent but lacks substantial implementation details. The description adequately conveys the high-level purpose (tracking workouts, identifying plateaus, injury risk), but the instructions are too generic. Critical missing elements include: specific metrics to track, analytical methods for detecting plateaus or injury risk, concrete examples of training log formats, algorithms or heuristics for performance trend analysis, and detailed workflows. The structure is clean but mostly template boilerplate. Novelty is moderate—while fitness analysis could benefit from specialized knowledge, the current implementation offers little beyond what a general-purpose CLI agent could attempt. To improve: add specific analytical frameworks, sample training logs, calculation methods for key metrics (fatigue ratios, training load, recovery indicators), and concrete examples showing before/after analysis.

LLM Signals

Description coverage4
Task knowledge2
Structure4
Novelty3

GitHub Signals

27
6
1
1
Last commit 92 days ago

Publisher

OneWave-AI

OneWave-AI

Skill Author

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OneWave-AI

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