How do I install the Readiness Check skill?

Run npx skillmds@latest add majiayu000/readiness-check in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Readiness Check safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Readiness Check?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Readiness Check free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Readiness Check?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Readiness Check by majiayu000 — Agent Skill

Name: Readiness Check
Rating: 4.5 (4 reviews)
Author: majiayu000

Readiness Check

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.

majiayu000 Updated Sep 9, 2026 567 repo stars

File contents

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

Supply UserProfile, recent TrainingHistory, and selfReport (sleep, soreness, mood).
Evaluate against load/monotony caps and health signals; prefer conservative outcomes.
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.

Frequently asked questions