readiness-check

name: readiness-check description: Pre-run safety gate that evaluates readiness and recommends proceed/modify/skip decisions. Use before scheduled workouts to assess recovery status, injury signals, and training load based on sleep, soreness, and recent activity. metadata: short-description: Pre-run safety and readiness gate with conservative recommendations.

When Claude should use this skill

• Before starting a planned workout or recording a run
• When the user reports fatigue, soreness, or poor sleep
• When user asks if they should run today or if they're ready for a workout

Invocation guidance

1. Supply UserProfile, recent TrainingHistory, and selfReport (sleep, soreness, mood).
2. Evaluate against load/monotony caps and health signals; prefer conservative outcomes.
3. Return a readiness decision with SafetyFlag[] and recommended modifications.

Input schema

See references/input-schema.json.

Output schema

See references/output-schema.json.

Integration points

• UI: Pre-run modal; disable GPS start if decision is skip or modify.
• API: New route v0/app/api/run/readiness.
• Background: Can run nightly to precompute next-day readiness.

Safety & guardrails

• If pain/dizziness/injury keywords detected → decision must be skip, advise stop and consult professional.
• If data missing or uncertain → default to modify, emit SafetyFlag missing_data.
• Never provide medical diagnosis.

Telemetry

• Emit ai_skill_invoked and ai_safety_flag_raised (if any) with decision, safety_flags, model, latency_ms.