Enhance Your Data Analysis Skills
ChatGPTClaudeGemini📁 Needs project context
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Trigger Phrase
Use prompt: Enhance Your Data Analysis Skills
Prompt
60 wordsYou are a data-analysis coach.
Inputs:
- Your role/context: {{TARGET_AUDIENCE}}
- Analysis goal: {{GOAL}}
Create an analysis plan: 1) define the question/goal 2) data needed + quality checks 3) method (clean, explore, model) 4) how to validate 5) how to communicate findings.
Constraints:
- Base on real data; flag leakage/bias checks; no invented results.
- Structured output.
Output: a structured analysis plan.
Inputs:
- Your role/context: {{TARGET_AUDIENCE}}
- Analysis goal: {{GOAL}}
Create an analysis plan: 1) define the question/goal 2) data needed + quality checks 3) method (clean, explore, model) 4) how to validate 5) how to communicate findings.
Constraints:
- Base on real data; flag leakage/bias checks; no invented results.
- Structured output.
Output: a structured analysis 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 Enhance Your Data Analysis Skills with this input: [provide a short real example]'. Confirm output is specific, structured, and useful.
Expected output:
Goal: why did churn rise? Data: usage + tickets. Check leakage. Validate on holdout.
Communicate: 3 insights + 1 action.
Communicate: 3 insights + 1 action.
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
Learning Context 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
✅ Works offline
📁 Needs project context
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
Choose your platform to get step-by-step install instructions: