Can it help with specific sports like running or powerlifting?

Yes, it uses general sports science principles applicable to endurance, strength, and hypertrophy training to provide context-specific recommendations.

How does it identify injury risks?

The skill analyzes sudden spikes in training volume (acute:chronic workload ratio), insufficient recovery periods, and persistent performance dips that often precede overuse injuries.

Does this skill require specific data formats?

While it works best with consistent logging, the sports scientist persona is capable of interpreting most standard fitness tracking formats and manual entries.

What kind of training logs can I analyze?

You can provide structured or unstructured workout logs, including spreadsheets, markdown files, or raw text descriptions of your training sessions and physical stats.

Training Log Analyzer

Name: Training Log Analyzer
Author: workonthestreets

byworkonthestreets

0•

Analytics & Monitoring

Analyzes fitness data to identify performance trends, optimize recovery windows, and mitigate injury risks through data-driven insights.

The Training Log Analyzer transforms raw workout logs into actionable athletic intelligence by acting as a virtual sports scientist within your development environment. It identifies subtle patterns in training volume and intensity to pinpoint plateau periods, predict peak performance windows, and highlight potential overtraining risks before injuries occur. This skill is essential for athletes, coaches, and data-driven fitness enthusiasts who need to translate messy training logs into structured progress reports and evidence-based training adjustments.

Key Features

01Recovery optimization based on historical training load and frequency

02Identification of early-warning injury risk markers

03Automated trend analysis of workout volume and intensity

040 GitHub stars

05Data-driven forecasting for peak performance and competition timing

06Detection of performance plateaus with suggested training adjustments

Use Cases

01Monitoring recovery needs during high-volume competitive seasons

02Reviewing monthly training blocks to adjust future workout intensity

03Analyzing historical data to identify factors leading to a personal record

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add workonthestreets/wolo training-log-analyzer

For use in Claude.ai and ChatGPT

Key Features

01Recovery optimization based on historical training load and frequency

02Identification of early-warning injury risk markers

03Automated trend analysis of workout volume and intensity

040 GitHub stars

05Data-driven forecasting for peak performance and competition timing

06Detection of performance plateaus with suggested training adjustments

Use Cases

01Monitoring recovery needs during high-volume competitive seasons

02Reviewing monthly training blocks to adjust future workout intensity

03Analyzing historical data to identify factors leading to a personal record

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add workonthestreets/wolo training-log-analyzer

For use in Claude.ai and ChatGPT