Optimizing Prompt Engineering: A Collection of 140+ Shortcuts for ChatGPT, Claude, and Gemini

Prompt Engineering is not merely typing regular questions into a chat box; it is the art of establishing precise context to unlock the AI model’s full reasoning capabilities. This collection of over 140 prompt shortcuts has been standardized specifically for ChatGPT, Claude, and Google Gemini, helping you cut down communication time by 80% while still achieving outstanding results.

Prompt engineering shortcut collection for AI — A standardized shortcut system for controlling ChatGPT, Claude, and Gemini

1. Technically Standard Shortcut Combination Formula

To achieve the highest efficiency and prevent the AI from giving rambling responses, apply the following 4-component combination formula when sending a prompt:

Combined Prompt Structure

[ROLE CODE] + [TASK CODE] + [CONTENT / CONTEXT] + [OUTPUT FORMAT CODE]

Practical example when auditing the security of an authentication source code snippet:

Command Chaining Example

/ROLE_ARCHITECT /AUDIT_SECURITY [Paste JWT authentication code snippet here] /OUTPUT_CHECKLIST

OPERATING PRINCIPLE

Splitting commands into tags helps the model immediately recognize its professional role and the required output data format, cutting out 90% of unnecessary conversational filler.

2. Programming & Code Architecture Command Group (/DEV)

Dedicated to developers, system engineers, and web professionals when working with Claude Code, Cursor, or ChatGPT:

Dev Command Group

# SOFTWARE DEVELOPMENT COMMAND GROUP (/DEV)
/CODE_REVIEW     : Review the entire codebase for optimization, scalability, and adherence to SOLID principles.
/SEC_AUDIT       : Scan for security vulnerabilities: SQL Injection, XSS, CSRF, token leaks, and exposed secret keys.
/REFACTOR        : Refactor source code to reduce Cyclomatic complexity without altering business logic.
/OPTIMIZE_PERF   : Detect CPU bottlenecks, memory leaks, or N+1 query issues.
/GEN_TESTS       : Generate a comprehensive suite of Unit Tests, including edge cases, with high test coverage.
/EXPLAIN_AST     : Break down complex function logic into step-by-step explanations accompanied by data flow diagrams.

/CODE_REVIEW: Review the entire codebase for optimization, scalability, and adherence to SOLID principles.
/SEC_AUDIT: Scan for common security vulnerabilities such as SQL Injection, XSS, CSRF, and leaked environment variables.
/REFACTOR: Refactor source code to make it cleaner and reduce algorithmic complexity without altering behavior.
/OPTIMIZE_PERF: Detect code that causes CPU bottlenecks, memory leaks, or N+1 database queries.
/GEN_TESTS: Automatically generate a comprehensive suite of unit tests, including edge cases, with high test coverage.
/EXPLAIN_AST: Break down complex function logic into clear, easy-to-understand explanations accompanied by data flow diagrams.

3. Research & Data Analysis Command Group (/RESEARCH)

Leverage the large-context document processing capabilities of Claude Sonnet and Google Gemini 1.5 Pro:

Research Group Command Code

# RESEARCH & DATA COMMAND GROUP (/RESEARCH)
/DEEP_RESEARCH   : Break down a broad topic into 5 sub-research directions, cross-referencing multiple sources.
/SYNTHESIZE      : Read dozens of document pages and extract a summary table of 5 key findings.
/DEVIL_ADVOCATE  : Act as a tough critic to uncover every weakness and risk in the plan.
/COMPETITOR_SCAN : Analyze competitor strategies based on feature data and user feedback.
/DATA_EXTRACT    : Convert unstructured text (emails, contracts, quotes) into a standardized JSON data table.

/DEEP_RESEARCH: Break down a broad topic into 5 sub-research directions, cross-referencing multiple documentation sources to eliminate false information.
/SYNTHESIZE: Read dozens of document pages and extract a summary table of the 5 most critical findings.
/DEVIL_ADVOCATE: Prompt the AI to act as a tough critic, identifying every weakness and loophole in the business plan.
/COMPETITOR_SCAN: Analyze competitor strategies using feature data, pricing, and customer reviews.
/DATA_EXTRACT: Convert unstructured text (emails, contracts, quotes) into a standardized JSON data table.

4. Content Editing & SEO Optimization Command Group (/CONTENT)

Turn AI into a senior editor with a natural tone and no trace of machine generation:

Content Group Commands

# CONTENT EDITING COMMAND GROUP (/CONTENT)
/HUMANIZE        : Rewrite paragraphs with a natural storytelling style, stripping out 100% of AI clichés.
/HOOK_MASTER     : Generate 5 sensational, curiosity-sparking opening hooks based on behavioral psychology.
/SEO_OPTIMIZE    : Naturally distribute keywords into Headings, Image Alt text, and opening tags following E-E-A-T standards.
/STORYTELLING    : Transform dry technical topics into a compelling problem-solving journey.
/CTA_CONVERT     : Craft sharp calls-to-action addressing core pain points to drive conversions.

/HUMANIZE: Rewrites paragraphs with an image-rich storytelling style, stripping out 100% of common AI clichés.
/HOOK_MASTER: Generates 5 sensational, curiosity-sparking hooks for blog posts or short-form videos based on behavioral psychology.
/SEO_OPTIMIZE: Naturally distributes keywords into Heading tags, Image Alt tags, and opening paragraphs according to Google’s E-E-A-T standards.
/STORYTELLING: Transforms a dry technical narrative into an engaging problem-solving journey using the Hero’s Journey framework.
/CTA_CONVERT: Crafts sharp calls-to-action addressing customer pain points to drive form submissions or purchases.

5. Output Format Control Command Group (/OUTPUT)

Precisely defines how the AI presents the response, eliminating unnecessary introductory and concluding filler:

Output Group Commands

# OUTPUT FORMAT COMMAND GROUP (/OUTPUT)
/OUTPUT_TABLE    : Present all results in a Markdown table with clearly categorized columns.
/OUTPUT_JSON     : Output pure JSON formatted data without any greetings or explanations.
/OUTPUT_EXEC     : Executive summary, maximum 150 words, focusing on financial metrics and action items.
/OUTPUT_STEPS    : Step-by-step 1, 2, 3 practical guide with ready-to-run terminal commands.

/OUTPUT_TABLE: Present all results in a Markdown table with clearly categorized columns.
/OUTPUT_JSON: Output pure JSON formatted data without any greetings or explanations at the beginning or end.
/OUTPUT_EXEC: Executive summary, maximum 150 words, focusing on financial metrics and next action items.
/OUTPUT_STEPS: Step-by-step 1, 2, 3 practical guide with copy-paste, ready-to-run terminal commands.

6. Ready-to-Use Chained Prompt Templates (Production Ready)

Below are 2 pre-optimized chained prompt templates for you to copy and use right away in your daily workflow:

Template 1: API Source Code Security Audit

API Audit Prompt

/ROLE_SECURITY_EXPERT /SEC_AUDIT
Please review the OAuth2 authentication source code below:
[Paste NodeJS / Python code here]
/OUTPUT_TABLE

Template 2: Business Strategy Critique

Project Critique Prompt

/ROLE_BUSINESS_STRATEGIST /DEVIL_ADVOCATE
Here is our new SaaS product development plan:
[Paste product idea summary here]
/OUTPUT_EXEC

7. Common Errors and Troubleshooting

A compilation of solutions for issues encountered when using the Prompt Engineering shortcut command system:

What should I do if the AI doesn’t understand shortcuts like /CODE_REVIEW?
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Cause: Some smaller model versions might not yet grasp tag conventions. Simply send a setup instruction at the beginning of the chat session: ‘In this chat, whenever I use the /COMMAND syntax, it triggers the corresponding function. Please adhere strictly to this’.

Does the AI still prepend ‘Here is the JSON file’ when using /OUTPUT_JSON?
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Append a stricter instruction: /OUTPUT_JSON (Raw JSON only, no markdown wrapping, no conversational filler). The AI will output a 100% clean data string.

Can these commands be used on mobile apps?
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Absolutely. You can save frequently used shortcut commands into the Text Replacement feature on iOS or Android for quick typing.

How many shortcut commands should be combined at maximum in a single prompt?
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The optimal formula is 3 to 4 tags (1 Role + 1 Task + 1 Format). Avoid overloading conflicting tasks within the same prompt.

Do shortcut commands work well across ChatGPT, Claude, and Gemini?
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All three major large language model (LLM) platforms currently recognize this hierarchical tag structure extremely well, with Claude and Gemini being especially responsive to formatting prefixes.

8. Frequently Asked Questions (FAQ)

Answering common questions about boosting productivity using the Prompt Shortcuts system:

Why do shortcut commands help AI provide smarter responses?
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Shortcut commands act as ‘Context Anchors’, forcing the model to narrow its probability distribution space and activate specialized neural weights instead of reasoning at a general level.

How can I create custom shortcut commands for my business?
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Simply follow the uppercase naming convention with underscores (e.g., /BRAND_GUIDELINES, /TONE_FRIENDLY) and provide a concise definition of that tag in your account’s Custom Instructions.

Should I pre-configure these shortcut commands in Custom Instructions?
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Highly recommended. By pre-configuring the command definitions in your Personalization settings, you only need to type the tag name during daily chat sessions without having to re-explain its meaning.

Is this shortcut suite compatible with CLI tools like Claude Code?
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Fully compatible. When working with Claude Code CLI or Cursor, these command prefixes help the AI define the code modification scope with extreme precision.