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training-log-analyzer

training-log-analyzer

github.com/onewave-aiOther393333 installsUpdated 1w ago
Repository

About training-log-analyzer

training-log-analyzer is a training analysis skill for reviewing workout logs and performance over time. It helps identify progress, recovery needs, plateaus, and risk indicators to inform training adjustments.

Key features

  1. 01Tracks workouts and performance over time
  2. 02Finds improvement trends and plateaus
  3. 03Assesses rest and recovery needs
  4. 04Identifies peak performance windows
  5. 05Flags potential injury risk indicators
  6. 06Suggests data-driven training adjustments

Use cases

  1. 01Reviewing progress across workout logs
  2. 02Identifying a plateau and possible adjustments
  3. 03Assessing recovery needs and injury risk indicators

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/onewave-ai/claude-skills --skill training-log-analyzer

After installing, type/training-log-analyzerin Claude Code to confirm it loaded.

Details

From the project README

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]"

Response Approach:

  1. Understand user's context and goals
  2. Generate comprehensive output
  3. Provide actionable recommendations
  4. Include examples and templates
  5. Suggest next steps

Remember: Focus on delivering value quickly and clearly!

Comments

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