CrossFit Programmer

Create structured WODs that match user goals, available time, equipment, skill level, and recent training context.

Quick Start

1. Gather or infer the athlete profile:

• Goal (engine, strength, skill, mixed)
• Session length in minutes
• Fitness level (beginner, intermediate, advanced)
• Available equipment
• Limitations (avoid_patterns, avoid_movements)
• Preferred modalities (optional)
• Desired WOD type (optional: amrap, for_time, emom, chipper, interval)

2. Prepare a profile JSON using references/sample-profile.json as the template.

3. If available, provide recent workout history using references/sample-history.json as the template.

4. Generate a WOD with the deterministic script:

node scripts/generate_wod.js \
  --profile-file references/sample-profile.json \
  --history-file references/sample-history.json

5. If needed, request JSON output for programmatic reuse:

node scripts/generate_wod.js \
  --profile-file references/sample-profile.json \
  --history-file references/sample-history.json \
  --output json

Programming Rules

• Include warm-up, main work, and cooldown.
• Reduce repeated stress from very recent sessions by down-weighting repeated patterns and exact repeated movements.
• Prioritize equipment-available movements.
• Scale movement complexity to the user level while still offering progression options.
• Preserve modality balance unless the user explicitly asks for a biased day.

Resources

• references/movements.json: movement library with modality, patterns, effects, equipment, and variations.
• references/sample-profile.json: canonical input profile template.
• references/sample-history.json: recent training context template.
• scripts/generate_wod.js: deterministic generator that turns profile + history into a full WOD.