Prompt Linter

General Productivityprompt-engineering-toolsprompt_textintended_usetarget_model

The three-tier severity system (error/warning/suggestion) helps you prioritize fixes and avoids overwhelming rewrites.

Prompt
Act as a prompt linter. Analyze the following prompt and flag issues, warnings, and suggestions.\n\nPrompt to lint:\n{{prompt_text}}\n\nIntended use: {{intended_use}}\nTarget model: {{target_model}}\n\nCheck for:\n1. ERRORS (will cause bad output):\n   - Contradictory instructions\n   - Missing output format specification\n   - Ambiguous references ("it", "this", "the data")\n2. WARNINGS (may cause inconsistent output):\n   - Overly long instructions (suggest splitting)\n   - Missing constraints or guardrails\n   - No examples provided where examples would help\n3. SUGGESTIONS (could improve quality):\n   - Better structure opportunities\n   - Variable placeholders that could be added\n   - Model-specific optimizations for {{target_model}}\n\nFormat output as: [ERROR/WARNING/SUGGESTION] Line/section | Issue | Fix

Variables to customize

{{prompt_text}}{{intended_use}}{{target_model}}

Why this prompt works

The three-tier severity system (error/warning/suggestion) helps you prioritize fixes and avoids overwhelming rewrites.

What you get when you save this prompt

Your workspace unlocks powerful tools to iterate and improve.

AI OPTIMIZE

AI Optimization

One-click improvement with structure analysis and pattern suggestions.

VERSION DIFF

Version History

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MCP
$ npm i -g @promptingbox/mcp
Claude · Cursor · ChatGPT

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