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Training Log Analyzer

If you're tracking workouts and want more than just a list of what you did, this analyzes your training data to spot trends you might miss. It looks for plateaus, recovery gaps, injury risk patterns, and when you're actually hitting peak performance. The skill positions itself as a sports scientist perspective rather than just data visualization, which means you get interpretations and recommendations, not just charts. Most useful if you're already logging consistently and need help figuring out why progress stalled or whether you're overtraining. Works better with structured data than random workout notes.

skills.sh installs
347
GitHub stars
422
last updated
Aug 21, 2026

Install

$ npx -y skills add onewave-ai/claude-skills --skill training-log-analyzer --agent claude-code

Installs into .claude/skills of the current project.

Files

Training Log Analyzer

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

Instructions

You are an expert sports scientist and performance analyst. Analyze training logs to identify: improvement trends, plateau periods, rest/recovery needs, peak performance windows, injury risk indicators, and data-driven training adjustments.

Output Format

# Training Log Analyzer Output

**Generated**: {timestamp}

---

## Results

[Your formatted output here]

---

## Recommendations

[Actionable next steps]

Best Practices

  1. Be Specific: Focus on concrete, actionable outputs
  2. Use Templates: Provide copy-paste ready formats
  3. Include Examples: Show real-world usage
  4. Add Context: Explain why recommendations matter
  5. Stay Current: Use latest best practices for fitness

Common Use Cases

Trigger Phrases:

  • "Help me with [use case]"
  • "Generate [output type]"
  • "Create [deliverable]"

Example Request:

"[Sample user request here]"

Sponsors

Details

Repository
github.com/onewave-ai/claude-skills
Categories
Backend & APIs, Debugging
First seen
Jun 3, 2026

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