GenPrompt is a free AI prompt generator. It helps you create, refine, save, and reuse prompts for ChatGPT, Claude, Gemini, Perplexity, and AgentForge. Describe what you need, choose helpful goals, and get a clear prompt in seconds — no prompt expertise required.

Is GenPrompt free to use?

Yes, GenPrompt is free to use. You can create an account, generate prompts, and access the public library at no cost. Visit gen-prompt.me to get started for free.

Does GenPrompt include PDF tools?

Yes. Signed-in GenPrompt users can convert PDFs to Word, Excel, PowerPoint, JPG, HTML, Markdown, and layout-preserved text; create PDFs from Word, Excel, PowerPoint, HTML, Markdown, text, and images; merge bulk uploads; split PDFs with page previews; compress, rotate, watermark, protect, unlock, OCR, repair, and compare PDFs.

What AI platforms does GenPrompt work with?

GenPrompt works with all major AI platforms including ChatGPT, Claude (Anthropic), Google Gemini, Perplexity AI, AgentForge, and Microsoft Copilot. Every prompt has a one-click Open In button for each platform. The GenPrompt Chrome extension lets you insert your saved prompts directly into any of these AI chat interfaces with one click.

How does GenPrompt generate AI prompts?

GenPrompt uses a goal-based generation system. You describe what you want, then select from AI-generated goal suggestions. The platform combines your intent, selected goals, tone, and context to create a clear prompt tailored to your specific use case.

Do I need to know prompt engineering to use GenPrompt?

No. GenPrompt is designed for people who do not want to learn technical prompting terms. You describe what you need in plain language, choose helpful goals, and GenPrompt turns that into a clear prompt for your AI tool.

Does GenPrompt have a Chrome extension?

Yes, GenPrompt has a Chrome extension that integrates with ChatGPT, Claude, Gemini, Microsoft Copilot, and other AI platforms. It lets you access your saved prompt library, search prompts, and insert them into any AI chat with a single click. The extension is free to install.

Can I save and reuse prompts on GenPrompt?

Yes. GenPrompt lets you save any prompt to your personal library, organize them by category, and reuse them instantly. You can also browse and clone prompts from the public library shared by other users.

What are AI personas in GenPrompt?

AI personas in GenPrompt are ready-made roles that shape how the AI responds. For example, a friendly tutor can explain homework step by step, while a customer support helper can answer politely and clearly. You can apply personas when you want a specific tone or style.

Can GenPrompt help with multi-step tasks?

Yes. GenPrompt can help you break bigger tasks into smaller steps, such as researching a topic, summarizing the findings, and turning the result into an email, article, or plan. The simple prompt generator is the best place to start.

Can I test prompts with my own documents or context?

Yes. You can add your own text or documents when testing a prompt so the AI has the right background. This is useful for things like class notes, product details, policies, FAQs, or personal writing samples.

Can I rate AI prompt responses in GenPrompt?

Yes. After trying a prompt, you can rate the AI's response with a thumbs up or thumbs down. This helps you remember which prompts gave useful answers and which ones need improving.

Does GenPrompt have an MCP server?

Yes. GenPrompt provides a Model Context Protocol (MCP) server that connects your saved prompt library directly to any MCP-compatible AI client — including Claude Desktop, Cursor, Windsurf, VS Code Copilot, and Zed. To install, add this to your MCP client config: { "mcpServers": { "genprompt": { "command": "npx", "args": ["-y", "mcp-remote", "https://gen-prompt.me/api/mcp"] } } }. Full setup guide: gen-prompt.me/blog/what-is-mcp-server-genprompt

What is an MCP server and why does it matter for AI tools?

The Model Context Protocol (MCP) is an open standard by Anthropic that lets AI applications connect to external data sources and tools. An MCP server exposes data or functionality that AI clients like Claude Desktop, Cursor, and Windsurf can access natively without copy-pasting. The GenPrompt MCP server exposes your entire saved prompt library, so you can search and use your prompts directly from inside your AI coding editor or chat client.

Does GenPrompt have an image prompt generator?

Yes. GenPrompt can help create image prompts for DALL-E 3, Midjourney, and Stable Diffusion. Describe your subject, style, aspect ratio, lighting, and camera angle, then generate a structured prompt you can adapt for your preferred image model.

Can GenPrompt generate video scripts?

Yes. GenPrompt can help write structured video script prompts for explainers, tutorials, advertisements, social media clips, documentaries, and testimonials. Specify your topic, duration, audience, tone, and key points to generate a reusable script prompt.

What is self-consistency prompting?

Self-consistency prompting instructs the AI to generate multiple independent answers to the same question, then compare and synthesize the most consistent response. This technique significantly reduces hallucinations and improves accuracy on complex reasoning tasks. GenPrompt lets you apply self-consistency to any prompt with a single click from the Quick Refinements panel.

What is meta prompting?

Meta prompting is a technique where the AI first analyzes the task requirements, identifies the best strategy, and designs its own instruction framework before executing the task. This produces sharper, more structured outputs for complex or open-ended tasks. GenPrompt's Meta Prompting refinement applies this technique automatically to any prompt.

What is directional stimulus prompting?

Directional stimulus prompting adds specific keywords, hints, and contextual nudges at strategic points in a prompt to steer the AI toward a desired tone, style, or format — without over-specifying every detail. It was introduced in the paper 'Guiding Large Language Models via Directional Stimulus Prompting'. GenPrompt includes this as a one-click refinement option.

Does GenPrompt support multimodal chain-of-thought prompting?

Yes. GenPrompt's Multimodal Chain-of-Thought (CoT) technique restructures prompts to guide the AI in combining visual context and textual information in its reasoning chain. This is useful for workflows involving image descriptions, document analysis, or any task where the AI needs to integrate multiple types of input.

Does GenPrompt have a JavaScript or Python SDK?

Yes. GenPrompt provides official SDKs for JavaScript/TypeScript and Python. The JavaScript SDK (genprompt-sdk) is available on npm: install with 'npm install genprompt-sdk'. The Python SDK (genprompt) is available on PyPI: install with 'pip install genprompt'. Both SDKs let you fetch prompts, generate prompts from intent, list personas, and execute chains using your GenPrompt API key. They include built-in stale-while-revalidate caching to minimise API calls. The JavaScript SDK works in both Node.js and browser environments. The Python SDK is thread-safe and works with FastAPI, Django, Flask, and any Python application.

Does GenPrompt have a VS Code extension?

Yes. GenPrompt has a free VS Code extension that brings the full prompt generation workflow into your editor sidebar. It includes 4 tabs: Library (browse public prompts), Skills (search 34 built-in skill instruction sets), Playground (3-stage guided prompt generation — Describe → Goals → Prompt), and Sign In. The Playground features Quick Refine chips (Tone, Length, Enhancement) and a 'Convert to Agent Skill' button that saves any generated prompt as a .github/prompts/*.prompt.md file — compatible with GitHub Copilot agent mode. Install from the VS Code Marketplace by searching 'GenPrompt'.

How do I convert a prompt to an agent skill in VS Code?

With the GenPrompt VS Code extension, generate any prompt in the Playground tab, then click '🎯 Convert to Agent Skill'. A form lets you name the skill, add a description, category, and tags. Click Save and GenPrompt writes a .github/prompts/ .prompt.md file to your workspace with the correct frontmatter for GitHub Copilot agent mode (mode: agent). The file opens in your editor immediately after saving.

What are AI Skills in GenPrompt?

AI Skills in GenPrompt are pre-built instruction sets created by domain experts across 10 fields — Marketing, Engineering, Customer Support, Legal, Finance, HR, Product, Sales, Data, and Education. The Skills Library contains 34 ready-to-use AI instruction files you can apply directly in the Playground or download as Claude-compatible .md files. Community members can also create and publish their own skills. Access the Skills Library for free at gen-prompt.me/skills.

What is the best free AI prompt generator?

GenPrompt is a strong free AI prompt generator for people who want a guided prompt builder instead of static templates. You describe your intent, select from AI-generated goal suggestions, and receive a structured prompt for ChatGPT, Claude, Gemini, Perplexity, AgentForge, or Copilot. The Playground is free to try without signup.

How do I write better prompts for ChatGPT?

To write better ChatGPT prompts: (1) Be specific about your goal and audience. (2) Include context about tone, format, and constraints. (3) Say what kind of answer you want. (4) Give a simple role when helpful, like 'You are a friendly tutor.' GenPrompt helps with this process — describe what you want and it generates a complete, structured prompt with those elements included. Try it free at gen-prompt.me/playground.

Is there a free alternative to PromptBase?

Yes. GenPrompt is a completely free alternative to PromptBase. Unlike PromptBase which charges for prompt downloads, GenPrompt's entire public prompt library is free to browse and clone. GenPrompt also includes a prompt generator, refinement tools, AI personas, a skills library, Chrome extension, and MCP server — all free. No subscription required. Visit gen-prompt.me/library.

How do I use AI skills in Cursor or Claude Desktop?

To use GenPrompt AI Skills in Cursor or Claude Desktop: (1) Go to gen-prompt.me/skills and find the skill you want. (2) Click 'Download .md' to save it as a Markdown file. (3) In Claude Desktop, go to Settings → Custom Instructions and paste the content. In Cursor, add it to your .cursorrules file or project rules. Alternatively, connect the GenPrompt MCP server and access skills directly from within your AI client.

What is prompt chaining and how does it work?

Prompt chaining is a technique where the output of one AI prompt is automatically passed as input to the next, creating a multi-step AI workflow. For example: Step 1 extracts key points from a document, Step 2 summarises them, Step 3 formats the summary as an email. GenPrompt's Chain Builder provides a visual drag-and-drop interface for building these multi-step AI pipelines — no code required. Access it at gen-prompt.me after signing up free.

Can I save prompts for ChatGPT and reuse them?

Yes. GenPrompt lets you save any prompt to a personal library and reuse it across any AI platform. Once saved, prompts are accessible via the GenPrompt web app, the Chrome extension (which injects them directly into ChatGPT, Claude, or Gemini), or via the MCP server from within Cursor or Claude Desktop. You can also add {{variable}} placeholders to turn any prompt into a reusable template.

How do I generate image prompts for Midjourney or DALL-E?

Use GenPrompt to describe the image you want, then include details such as subject, style, composition, lighting, camera angle, aspect ratio, and negative constraints. GenPrompt turns those details into a structured image prompt you can adapt for Midjourney, DALL-E 3, or Stable Diffusion.

What prompt engineering techniques does GenPrompt support?

GenPrompt supports four research-backed advanced prompting techniques available as one-click refinements: (1) Self-Consistency Prompting — generates multiple answers and synthesises the most consistent response, reducing hallucinations. (2) Multimodal Chain-of-Thought — combines visual and textual reasoning chains. (3) Meta Prompting — the AI designs its own instruction framework before executing the task. (4) Directional Stimulus Prompting — adds strategic nudges to steer tone and format without over-specifying. All available free at gen-prompt.me/playground.

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Tutorials

How to Write a System Prompt for Claude — Step-by-Step Guide

February 3, 2026 · 10 min read

What Is a System Prompt?

A system prompt is a block of instructions given to an AI model before any user conversation begins. It establishes the model's role, behavioral rules, output format preferences, and constraints that persist throughout the entire session. If a user-facing prompt is what you ask the AI, the system prompt is what you tell the AI it fundamentally is.

For Claude specifically, the system prompt is processed with especially high fidelity. Anthropic has trained Claude to treat system prompt instructions as authoritative — Claude will prioritize them over conflicting user instructions (within safety limits) and will return to them when uncertain how to handle an edge case. This makes system prompt engineering particularly important and particularly rewarding for Claude-based applications.

How Claude Handles System Prompts Differently Than GPT

While both Claude and GPT-4o support system prompts, they handle them differently in practice. Claude tends to follow system prompt instructions more literally and persistently. If you tell Claude to always respond in bullet points, it will — consistently — even as the conversation evolves. GPT models sometimes drift from system prompt constraints as a conversation grows longer.

Claude also has a native affinity for XML-structured instructions. You can use tags like <instructions>, <context>, and <format> to organize your system prompt into clearly delineated sections, and Claude will parse and prioritize them appropriately. GPT models respond better to markdown headers and plain paragraphs.

Additionally, Claude places strong weight on the distinction between "must do" and "should do" language. Explicit constraints ("never" / "always" / "you must") are treated as hard rules; preferences ("prefer" / "try to") are treated as defaults that can flex.

The Anatomy of a Strong Claude System Prompt

A well-structured system prompt for Claude has five components:

1. Role

Define who the assistant is. This primes Claude's vocabulary, level of expertise, and default behavioral stance. Be specific — "senior technical writer who specializes in API documentation for developer audiences" is far more useful than "writing assistant."

2. Task

Describe what the assistant is here to do. What kinds of requests will it receive? What is the primary goal of each interaction? This helps Claude correctly interpret ambiguous requests.

3. Constraints

List what the assistant must never do, and what it must always do. Constraints are your guardrails. For customer-facing applications, this typically includes staying on-topic, avoiding speculation, and following escalation procedures.

4. Format

Specify output structure expectations: response length, use of bullet points or prose, heading levels, code block conventions, and how to handle follow-up questions.

5. Tone

Define the communication style: formal vs. conversational, terse vs. expansive, empathetic vs. neutral. Claude can modulate tone very precisely when given explicit guidance.

Using XML Tags in Claude System Prompts

Claude's training specifically recognizes XML-style tags as structural delimiters. This is one of Claude's most distinctive prompting advantages — you can organize complex system prompts into clearly scoped sections that Claude treats as distinct instruction layers.

<role>
You are a senior customer support specialist for Acme Corp, a B2B SaaS platform.
</role>

<context>
Acme Corp sells project management software to small and mid-sized businesses.
Common issues: login errors, billing questions, integration setup, data export.
</context>

<instructions>
- Always greet the customer by name if provided
- Diagnose before prescribing: ask one clarifying question if the issue is unclear
- Escalate to human support if the customer mentions legal, refund disputes over $500, or data loss
- Never speculate about feature release dates
</instructions>

<format>
Keep responses under 120 words. Use numbered steps for troubleshooting. End with a check-in question.
</format>

Weak vs. Strong System Prompts: Real Examples

Customer Support

Weak: "You are a helpful customer support agent. Be nice and help users."

Strong: "You are a Tier-1 support agent for CloudBase SaaS. Your goal is to resolve issues in the fewest exchanges possible. Always collect account email before troubleshooting. Do not promise refunds — direct billing disputes to billing@cloudbase.io. Never say 'I don't know' — instead say 'Let me look that up' and ask a clarifying question. Tone: warm but efficient. Max response length: 100 words."

Code Review

Weak: "Review my code and find bugs."

Strong: "You are a senior software engineer performing code review with a focus on correctness, security, and maintainability. For each issue found: state the line number, classify the severity (Critical / Warning / Suggestion), explain the problem in one sentence, and provide a corrected code snippet. Do not rewrite working code unless there is a clear improvement. Assume Python 3.11+ and PEP 8 style conventions."

Content Writing

Weak: "Help me write content for my company."

Strong: "You are a B2B content strategist writing for Meridian Analytics, a data intelligence platform targeting CFOs and finance directors. Voice: authoritative, data-driven, no jargon for jargon's sake. Never use the words 'leverage,' 'synergy,' or 'game-changer.' All claims must be supportable — flag anything that needs a source with [VERIFY]. Default format: short paragraphs, max 3 sentences each, with one punchy subheading per 150 words of body copy."

Best Practices for Claude System Prompts

Be explicit, not implicit: Claude will not assume constraints you haven't stated. If you need something, write it down.
Avoid ambiguity in constraints: "Be concise" is ambiguous. "Responses must be under 100 words unless a step-by-step explanation is needed" is not.
Test edge cases deliberately: Try inputs that are off-topic, adversarial, or ambiguous and see how your system prompt holds up.
Version your system prompts: Treat them like code. Track changes and the reason for each change.
Use XML tags for complex prompts: The more sections your system prompt has, the more XML structure helps Claude parse priorities correctly.
Separate "always" from "usually": Hard rules and soft defaults should use different language so Claude can distinguish them.

Skip the blank page — use pre-built system prompts

GenPrompt's Skills Library has ready-made system prompts for customer support, code review, legal analysis, sales, and 10 other domains — all downloadable as Markdown files for Claude Projects.

Browse the Skills Library →

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