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readiness-check

@majiayu000/claude-skill-registry
5
0

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.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

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 [object Object]

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.