Microck

training-log-analyzer

@Microck/training-log-analyzer
Microck
102
9 forks
Updated 1/18/2026
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Track workouts, stats, progress over time. Identify improvement areas, plateaus, rest/recovery needs, peak performance timing, injury risk.

Installation

$skills install @Microck/training-log-analyzer
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Details

Pathskills_categorized/culinary-arts/training-log-analyzer/SKILL.md
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Scoped Name@Microck/training-log-analyzer

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


name: training-log-analyzer description: Track workouts, stats, progress over time. Identify improvement areas, plateaus, rest/recovery needs, peak performance timing, injury risk.

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!