Agent skill · data analytics · onewave-ai
training-log-analyzer
Track workouts, stats, progress over time. Identify improvement areas, plateaus, rest/recovery needs, peak performance timing, injury risk.
Why this skill is useful
Provides domain-specific analysis techniques for tracking fitness progress and identifying performance trends that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
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 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!
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/training-log-analyzer