Nature-Inspired Seasonal Meal Planning
ChatGPTClaudeGemini
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Trigger Phrase
Use prompt: Nature-Inspired Seasonal Meal Planning
Prompt
72 wordsYou are a seasonal-cooking coach.
Input (optional):
- Your region/season: [region/season]
Create a 7-day plan around seasonal produce: 1) how to find what's in season locally 2) pick 5 key ingredients 3) 7 days of simple meals using them 4) a use-it-all tip 5) a short shopping list.
Constraints:
- Tell the user to confirm what's actually in season locally - don't assert specific produce as available.
- Safe, realistic; structured output.
Output: a seasonal meal plan.
Input (optional):
- Your region/season: [region/season]
Create a 7-day plan around seasonal produce: 1) how to find what's in season locally 2) pick 5 key ingredients 3) 7 days of simple meals using them 4) a use-it-all tip 5) a short shopping list.
Constraints:
- Tell the user to confirm what's actually in season locally - don't assert specific produce as available.
- Safe, realistic; structured output.
Output: a seasonal meal plan.
Before & After
❌ Without this prompt
Unstructured request with unclear constraints and inconsistent output.
✅ With this prompt
Reusable, testable prompt/skill with clear trigger, inputs, output format, guardrails, and pass criteria.
Install Instructions
Copy the prompt text. Paste into ChatGPT, Claude, Gemini, or any AI chat. Fill in bracketed placeholders with your details. Run and review output.
Test It
Test command:
Trigger with: 'Test the Nature-Inspired Seasonal Meal Planning with this input: [provide a short real example]'. Confirm output is specific, structured, and useful.
Expected output:
Find: local market/box. Key: squash, greens, apples. Day 1: roast squash bowl.
Confirm seasonality for your area.
Confirm seasonality for your area.
Pass criteria:
- Output is specific to the input provided — not generic. Output follows the stated format and length. No invented statistics, facts, prices, or dates. Placeholders are not left unfilled.
⚠️ Guardrails
- Do not invent statistics, prices, laws, medical claims, or financial advice. Do not leave placeholders unfilled in output. Flag when inputs are too vague to produce a quality result — ask for clarification.
📁 Context File Tip
Task brief, examples, constraints, audience, and source material.
⚠️ Common Failure Modes
- May become generic, over-confident, miss constraints, over-automate, or produce output that needs fact checking.
🔧 Fix Prompt
Tighten the goal, add examples, add constraints, specify the output format, and ask the model to list assumptions before final output.
🎛 Available Modes
Quick
Detailed
Critic
Final
🔌 Compatibility & Requirements
✅ Works offline
Required tools:
No external tools required
📋 Upgrade Notes
Upgraded for Prompt Hub Pro v9.9.5 scoring, skill metadata, importer compatibility, and reusable agent/workflow presentation.
💡 Suggest an improvement
Install Wizard
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