working

templates/workflows/analyze_last_workout.txt

@@ -1,5 +1,8 @@
 Analyze my most recent cycling workout using the provided data.
 
+DATA QUALITY ASSESSMENT:
+{data_quality_note}
+
 {activity_summary_section}
 
 {user_info_section}
@@ -8,4 +11,17 @@ Analyze my most recent cycling workout using the provided data.
 
 {assessment_points}
 
-Focus on the provided activity details for your analysis.
+IMPORTANT ANALYSIS GUIDANCE:
+{if data_quality_is_indoor}
+This is an indoor cycling activity. Speed, elevation, and GPS data may be missing or estimated. Focus analysis on:
+- Power metrics (average power, max power, normalized power)
+- Heart rate zones and distribution
+- Duration and intensity relative to FTP
+- Cadence consistency
+- Training stress score (TSS)
+Avoid speed-based analysis or comparisons with outdoor rides.
+{else}
+This is an outdoor cycling activity with full metrics available. Consider all data points including speed, elevation, and route characteristics.
+{endif}
+
+Focus on the provided activity details for your analysis, accounting for any missing data as noted above.

templates/workflows/enhanced_analysis.txt

@@ -1,5 +1,17 @@
 Perform enhanced {analysis_type} analysis using all available data and tools.
 
+DATA QUALITY CONTEXT:
+{data_quality.note}
+
 Available cached data: {cached_data}
 
-Use MCP tools as needed to gather additional data for comprehensive analysis.
+Use MCP tools as needed to gather additional data for comprehensive analysis. When using tools, be aware of potential data limitations in recent activities.
+
+ANALYSIS GUIDANCE:
+{if data_quality.is_indoor}
+This is an indoor activity analysis. Focus on power-based metrics and heart rate zones. Speed and elevation data may be limited or estimated.
+{else}
+This is an outdoor activity analysis. Full metrics including speed, elevation, and route data are available.
+{endif}
+
+Account for missing or estimated data when performing the analysis.

templates/workflows/suggest_next_workout.txt

@@ -1,10 +1,22 @@
 Please suggest my next cycling workout based on my recent training history.
 
+RECENT DATA QUALITY:
+{data_quality.note}
+
 {training_rules_section}
 
 Please provide:
-1. Analysis of my recent training pattern
-2. Identified gaps or imbalances in my training
+1. Analysis of my recent training pattern, noting any data limitations from recent activities
+2. Identified gaps or imbalances in my training, considering data quality
 3. Specific workout recommendation for my next session
-4. Target zones (power, heart rate, duration)
-5. Rationale for the recommendation based on recent performance
+4. Target zones (power, heart rate, duration) - adjust for indoor vs outdoor based on recent data quality
+5. Rationale for the recommendation based on recent performance and data availability
+
+GUIDANCE FOR SUGGESTIONS:
+{if data_quality.is_indoor}
+Recent activities were indoor. Consider recommending outdoor rides if weather permits, or advanced indoor intervals if continuing indoor training.
+{else}
+Recent activities were outdoor. Balance with indoor options if needed for recovery or weather.
+{endif}
+
+Account for missing metrics in recent data when making recommendations.