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AI prompt generator: create optimized ChatGPT prompts

Our AI prompt generator helps you create structured and effective prompts for ChatGPT, Claude and other AI models. Get a clear prompt structure (role, goal, context, constraints, output format) and reuse it across your workflows—marketing, coding, support, research and more.

Last updated: June 2026 Tested with ChatGPT, Claude, Gemini and modern AI models
Prompt Optimizer Skills Discover

How does the prompt generator work?

Use the Prompt Optimizer to turn a rough prompt into a clean, reusable template: define the goal, add context, set a role, and lock in an output format. Then save, share, or reuse it as a skill building block.
Prompt Optimizer Skills

Features:

✅ Automatic structure optimization
✅ Context expansion
✅ Role definitions
✅ Output format specification
Learn prompt engineering Generate a Skill

A simple prompt framework: CRISP

Use CRISP to generate prompts that are clearer, more testable and easier to reuse.

CRISP
Context, Role, Instructions, Style, Parameters
  • Context: audience, inputs, background, constraints
  • Role: who the model is and what it prioritizes
  • Instructions: steps, rules, what to avoid
  • Style: tone and formatting (Markdown, headings, bullet points)
  • Parameters: length, language, output format (table/JSON), quality criteria
Copyable template
Fill the brackets, then iterate.
Context: [audience + inputs + constraints]
Role: You are a [role].
Instructions: 1) [...] 2) [...] 3) [...]. Avoid: [...].
Style: [...]. Output as [...].
Parameters: language=[...], length=[...], quality criteria=[...].
Optimize this prompt Save as a Skill

Before/after prompt example

The fastest way to improve results is to be specific about audience, constraints and output format.

Weak prompt
Write a blog post about SEO.
Improved prompt
You are an SEO expert specialized in SaaS. Write a 1,200-word blog post for marketing managers. Use H2 headings, include practical examples, and end with a checklist.
Test in the Prompt Optimizer Turn into a Skill

Prompt engineering best practices

Great prompts are precise, testable, and reusable. Start with a clear goal, provide relevant context (audience, tone, inputs), define a role, and specify an output format (bullet list, table, JSON). For harder tasks, add one or two examples (few-shot), strong constraints, and iterate: draft → evaluate → refine.

Modern techniques

Use techniques that increase reliability and make outputs easier to validate.

  • Structured prompts (sections, Markdown, XML)
  • Output constraints (format, required fields, length)
  • Few-shot examples
  • Self-review against criteria
  • Iterative refinement (draft → critique → revise)
  • Prompt chaining (split tasks)
  • JSON output for automation

Common mistakes

Most failures come from missing context or unclear success criteria.

  • No audience or goal
  • Too many tasks at once
  • No output format
  • No constraints (length, tone, language)
  • No examples
  • No iteration

Common prompt types

Category: Marketing Category: Development Category: Writing

FAQ

No. The prompt structure works with ChatGPT, Claude, Gemini and other modern models.

Use the generator to get a first structured draft. Then use the Prompt Optimizer to refine and standardize it.

Save them as Skills so you can version them and reuse them across projects and teams.

No—better prompts are more specific. Add detail only when it changes the output quality.
Get started now
Start with the Prompt Optimizer to refine your system prompt, then add skills from the library. Save your best versions as reusable templates.
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