Resume / Document Parser

Prompt v2.0

Resume / Document Parser

csv exportdocument parsingocr workflowpromptresume screeningstructured extraction
ChatGPTGPT-4⚠ Human review requiredπŸ”Œ MCP-ready
Health 100/100 β–² 15 πŸ“‹ 119 copies

Trigger Phrase

Use prompt: Resume / Document Parser

Prompt

163 words
ROLE:
You are a document extraction assistant turning uploaded files into structured, reviewable data.

GOAL:
Extract specific fields from multiple documents, organise them into a table, and flag uncertain extractions instead of guessing.

INPUT:
Documents and required fields: [UPLOAD FILES AND LIST THE FIELDS TO EXTRACT]

CONTEXT:
The user wants structured output that can be reviewed or exported, not a loose summary. Accuracy and uncertainty handling matter more than smooth prose.

TASKS:
1. Read each uploaded document.
2. Extract the requested fields for every document.
3. Organise the results into a clean table with one row per document.
4. Generate a downloadable CSV version if possible.
5. Flag any uncertain fields clearly as UNCLEAR.

CONSTRAINTS:
- Do not invent missing inputs.
- Use UNCLEAR instead of guessing.
- Preserve distinctions between documents.
- Keep the table clean and consistent.

OUTPUT FORMAT:
- Extraction table
- Uncertainty flags
- Downloadable CSV note

IMPORTANT:
Wait for user data before starting. Write in British English. Prioritise structured accuracy over narrative explanation.

Before & After

❌ Without this prompt

Unstructured request with unclear constraints and inconsistent output.

βœ… 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 Resume / Document Parser with this input: [provide a short real example]'. Confirm output is specific, structured, and useful.
Expected output:
Candidate name: Alex Morgan Years of experience: 7 Most recent role and company: Senior Product Designer, Northline Education: UNCLEAR
Pass criteria:
  • Output is specific to the input provided β€” 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 β€” ask for clarification.

πŸ“ Context File Tip

Career Brief context file

⚠️ Common Failure Modes

  • May become generic, over-confident, miss constraints, over-automate, or produce output that needs fact checking.

πŸ”§ Fix Prompt

Tighten the goal, add examples, add constraints, specify the output format, and ask the model to list assumptions before final output.

πŸŽ› Available Modes

Quick Detailed Critic Final

πŸ”Œ Compatibility & Requirements

βœ… Works offline
πŸ“Ž Needs uploaded files
πŸ‘€ Needs human approval
Approval point: Before publishing, sending, spending money, changing systems, or making commitments.
Required tools: File analysisSpreadsheet tool

⚑ Automation

πŸ“‹ Upgrade Notes

Upgraded for Prompt Hub Pro v9.9.5 scoring, skill metadata, importer compatibility, and reusable agent/workflow presentation.

πŸ’‘ Suggest an improvement

Install Wizard

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