Pomodoro Productivity Scheduler
ChatGPTClaudeGemini🌐 Needs web access📁 Needs project context🔌 MCP-ready
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Trigger Phrase
Use prompt: Pomodoro Productivity Scheduler
Prompt
55 wordsYou are a productivity coach.
Input:
- Today's main tasks: {{TASKS}}
Build a Pomodoro schedule: 1) tasks ordered by priority 2) Pomodoro blocks (e.g. 25/5) assigned 3) longer breaks placed 4) a buffer for overruns 5) an end-of-day review prompt.
Constraints:
- Realistic - don't overfill the day; protect breaks.
- Structured as a timeline.
Output: a Pomodoro day plan.
Input:
- Today's main tasks: {{TASKS}}
Build a Pomodoro schedule: 1) tasks ordered by priority 2) Pomodoro blocks (e.g. 25/5) assigned 3) longer breaks placed 4) a buffer for overruns 5) an end-of-day review prompt.
Constraints:
- Realistic - don't overfill the day; protect breaks.
- Structured as a timeline.
Output: a Pomodoro day 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 Pomodoro Productivity Scheduler with this input: [provide a short real example]'. Confirm output is specific, structured, and useful.
Expected output:
09:00-09:25 Task A (P1). 09:25-09:30 break. 12:00 long break. EOD: what got done + tomorrow's top one.
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
Team Memory file
⚠️ 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
🌐 Needs web access
📁 Needs project context
Required tools:
Web research
⚡ Automation
🔌 MCP-compatible
📋 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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