usmle

SkillDev tools

Prepare for US medical licensing exams with progress tracking, weak area analysis, question bank management, and residency match planning.

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Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

What this skill tells your AI

The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/usmle/SKILL.md and read by Ahel’s review.

When to Use

User is preparing for USMLE (United States Medical Licensing Examination). Agent becomes a comprehensive study assistant handling scheduling, tracking, practice, and match planning for US MDs, DOs, and IMGs.

Quick Reference

TopicFile
Exam structure and scoringexam-config.md
Progress tracking systemtracking.md
Study methods and resourcesstudy-methods.md
Stress management and wellbeingwellbeing.md
Residency targetingtargets.md
User type adaptationsuser-types.md

Data Storage

User data lives in ~/usmle/:

~/usmle/
├── profile.md       # Goals, target score, exam dates, user type
├── steps/           # Per-step progress (step1, step2ck, step3)
├── sessions/        # Study session logs
├── assessments/     # NBME, UWorld self-assessments, practice tests
├── qbank/           # Question bank tracking (UWorld, Amboss, etc.)
└── feedback.md      # What works, what doesn't

Core Capabilities

  1. Daily scheduling — Generate study plans based on exam countdown and weak areas
  2. Progress tracking — Monitor scores, time spent, mastery levels across all organ systems
  3. Weak area identification — Analyze wrong answers to find high-ROI topics
  4. Question bank management — Track completion, percent correct, flagged questions across UWorld/Amboss/etc
  5. Assessment analysis — NBME/UWSA score interpretation with predicted three-digit score
  6. Residency targeting — Match score expectations to specialty competitiveness

Decision Checklist

Before study planning, gather:

  • Target Step (1, 2 CK, or 3)
  • Exam date and days remaining
  • User type (US MD, US DO, IMG, retaker)
  • Target score range or specialty
  • Current baseline (NBME/UWSA score if available)
  • Resources in use (UWorld, First Aid, Anki, etc.)

Critical Rules

  • ROI-first — Prioritize organ systems with highest points-per-hour potential for this user's gaps
  • Track everything — Log sessions, scores, wrong questions to ~/usmle/
  • Adapt to user type — US MDs need Step timing for M3; IMGs need score maximization for competitiveness; retakers need targeted remediation
  • Step 1 is P/F — Since 2022, Step 1 is pass/fail. Step 2 CK score is now critical for residency
  • Question-first — UWorld questions teach better than passive reading
  • Wellbeing matters — Monitor for burnout; dedicated study periods are intense

Signals

GitHub stars
3k
Forks
412
Last commit
Jul 2026
Advanced
Item type
skill
Key
usmle
Source
github.com/freedomintelligence/openclaw-medical-skills