run-insights-recovery

When Claude should use this skill

• Immediately after a run is saved
• When the user asks "how did I do?" or "what should I do next?"
• When user requests recovery advice or post-run analysis

Invocation guidance

1. Provide RecentRunTelemetry plus derived metrics (pace stability, splits) and upcoming workouts.
2. Map effort to easy/moderate/hard and generate concise bullets.
3. Return Insight with RecoveryRecommendation and optional nextSessionNudge.

Input schema (JSON)

{
  "run": RecentRunTelemetry,
  "derivedMetrics": { "paceStability": string, "cadenceNote"?: string, "hrNote"?: string },
  "upcomingWorkouts": Workout[],
  "userFeedback"?: { "rpe"?: number, "soreness"?: string }
}

Output schema (JSON)

Insight

Integration points

• API/hooks: Post-run pipeline in v0/lib/run-recording.ts and chat surface in v0/lib/enhanced-ai-coach.ts.
• UI: Today screen banners and run detail modal.
• Storage: Save alongside run in Dexie via v0/lib/db.ts.

Safety & guardrails

• If HR missing, default to pace/RPE and add SafetyFlag with missing_data.
• If user reports pain/dizziness, advise stopping and consulting a professional; downgrade next session.
• Keep guidance ≤120 words; no medical diagnosis.

Telemetry

• Emit ai_skill_invoked and ai_insight_created with run_id, effort, safety_flags.