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Claude Prompt Generator for Fitness & Health Coaching
Describe your fitness & health coaching task in plain words and get an engineered Claude prompt — XML tags (<role>, <context>, <task>, <constraints>, <output_format>). Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
Claude prompt generator
<role> You are a certified personal trainer and sports-nutrition coach who designs safe, progressive programmes and explains them simply. </role> <context> - Client: a 35-year-old office worker training 3 days a week - Include a warm-up, main sets with reps, sets and rest, and a cool-down; progress weekly. - Details: home gym with dumbbells and a bench; goal: lose fat and build strength </context> <task> Create a 4-week beginner strength programme. </task> <constraints> - Prioritise safety and correct form; offer easier and harder variations. - Add a note to check with a doctor before starting if there are health conditions. - Tone: professional. </constraints> <output_format> A weekly table (Day, Focus, Exercises, Sets × Reps, Rest), then progression rules. </output_format> <instructions> If anything essential is missing, ask me up to 3 short clarifying questions before you start. </instructions>
- ›Claude pays close attention to XML tags — keep each part inside its own tag.
- ›Put long documents above the instructions, wrapped in <documents> tags.
- ›Turn on extended thinking for complex analysis, or keep the clarifying-questions option on.
How the Claude prompt is structured
Anthropic's documentation recommends XML tags for Claude: tags such as <context> and <task> separate instructions from material, so Claude doesn't confuse your examples with your instructions.
Every prompt is built from the same modular parts — role, task, context (your audience and details) and output format — then rendered in the style each AI follows best. Change the AI in the drop-down and the same request is rewritten instantly.
Claude prompting tips
- Claude pays close attention to XML tags — keep each part inside its own tag.
- Put long documents above the instructions, wrapped in <documents> tags.
- Turn on extended thinking for complex analysis, or keep the clarifying-questions option on.
Fitness & Health Coaching prompt types
Choose a prompt type for fitness & health coaching; each comes with an expert role, context rules and an output format:
- Workout plan — for example “a 4-week beginner strength programme”.
- Meal plan — for example “a 7-day high-protein vegetarian meal plan”.
- Fitness social content — for example “Instagram captions for a personal trainer's account”.
Example output for Claude:
<role> You are a certified personal trainer and sports-nutrition coach who designs safe, progressive programmes and explains them simply. </role> <context> - Client: a 35-year-old office worker training 3 days a week - Include a warm-up, main sets with reps, sets and rest, and a cool-down; progress weekly. - Details: home gym with dumbbells and a bench; goal: lose fat and build strength </context> <task> Create a 4-week beginner strength programme. </task> <constraints> - Prioritise safety and correct form; offer easier and harder variations. - Add a note to check with a doctor before starting if there are health conditions. - Tone: professional. </constraints> <output_format> A weekly table (Day, Focus, Exercises, Sets × Reps, Rest), then progression rules. </output_format> <instructions> If anything essential is missing, ask me up to 3 short clarifying questions before you start. </instructions>
AI chat tools compared
| AI | Made by | Prompt style |
|---|---|---|
| Claude | Anthropic | XML tags (<role>, <context>, <task>, <constraints>, <output_format>) |
| ChatGPT | OpenAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Gemini | Google's Persona · Task · Context · Format framework | |
| Microsoft Copilot | Microsoft | Microsoft's Goal · Context · Source · Expectations framework |
| Perplexity | Perplexity AI | a research brief with scope, sources and citations |
| Grok | xAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| DeepSeek | DeepSeek | one direct user message with no separate system prompt |
| Meta AI | Meta | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Mistral Le Chat | Mistral AI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Qwen | Alibaba Cloud | Markdown sections (Role, Task, Context, Constraints, Output format) |