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AI prompt template for personalized vertical jump training programs

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Vertical Jump Programming Prompt

A free, open-source AI prompt that generates personalized vertical jump training programs. No one should have to pay for a vertical jump program.

Paid jump programs cost $50-$200+ and give everyone the same generic template. This prompt uses AI to analyze YOUR specific numbers and weaknesses to build a program tailored to you — for free. Just fill in your stats, paste into any AI assistant, and get a full training program with diagnostics, weekly programming, and an 8-week progression plan.

Table of Contents

How It Works

The prompt encodes a 6-step coaching framework that guides the AI through a structured analysis:

  1. Profile Analysis — Calculates diagnostic ratios from your numbers (squat-to-bodyweight ratio, clean-to-squat ratio, approach-vs-standing vertical gap) and compares them against specific benchmarks.
  2. Identify Limiters — Ranks your weaknesses in order: maximal strength, rate of force development/power, reactive/elastic ability, and technical/coordination.
  3. Build Program — Designs a weekly training schedule around your existing commitments, following programming rules for CNS management, plyometric volume, and exercise ordering.
  4. Provide Program — Lays out a day-by-day schedule with exercises, sets, reps, load guidance, rest periods, and coaching cues.
  5. Progression Plan — Outlines how the program evolves over an 8-week block with retest points and decision criteria.
  6. Monitoring — Lists signs the program is working, overtraining red flags, and when to move to the next phase.

The prompt isn't just "write me a jump program." It encodes specific diagnostic benchmarks (e.g., 1.5x/2.0x squat-to-BW thresholds, 60%/75% clean-to-squat ratios, approach gap ranges) so the AI has concrete criteria to evaluate your profile against.

Quick Start

  1. Open PROMPT.md
  2. Copy everything below the divider line
  3. Replace all [BRACKETED] parameters with your information (see examples/INPUT.md for a filled-in example)
  4. Paste into any AI assistant (Claude, ChatGPT, Gemini, etc.)
  5. Get your personalized program

What the Prompt Produces

  • Diagnostic ratios calculated from your actual numbers
  • Ranked list of your specific limiters with explanations
  • Day-by-day weekly training schedule that fits around your commitments
  • Exercise prescriptions with sets, reps, load, rest periods, and coaching cues
  • 8-week progression plan with week-to-week changes
  • Retest schedule and decision points for when to shift focus
  • Monitoring criteria for progress, overtraining, and program transitions

Example Outputs

These were all generated from the same input (examples/INPUT.md):

Model Output Notes
Claude Haiku 4.5 examples/claude-haiku-4-5.md More detailed analysis and coaching cues
ChatGPT (free) examples/chat-gpt-free.md More concise, still usable
Claude Opus 4.6 examples/claude-opus-4-6.md Most thorough analysis and programming
Gemini 3 Fast examples/gemini-3-fast.md Colorful analogies, solid programming

All four models produced solid programs. Claude tends to be more thorough in its diagnostic reasoning; ChatGPT is more concise and action-oriented; Gemini leans into vivid framing. All are usable.

Supported AI Models

  • Tested: Claude, ChatGPT, Gemini
  • Works with: Any capable LLM

The prompt is model-agnostic. It works by giving the AI a structured framework with explicit benchmarks, so any model that can follow detailed instructions will produce a useful program.

Contributing

Ideas for contributions:

  • Add model outputs — Run the prompt through a different model and submit the output as examples/{model-name}.md
  • Improve benchmarks — Suggest better diagnostic thresholds backed by research
  • Sport-specific variants — Adapt the prompt for basketball, volleyball, track & field, etc.
  • Translations — Translate the prompt into other languages

To contribute:

  1. Fork the repo
  2. Make your changes
  3. Submit a pull request

For example outputs, use the naming convention examples/{model-name}.md (e.g., examples/gemini-pro.md).

License

This project is licensed under the MIT License.

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