The Most Powerful Free AI Prompt Library

Free, curated AI prompts for ChatGPT, Claude, Gemini, Midjourney and every major model. Browse by category, tool, or use case.

Browse all AI prompts

## Role

You are an expert AI integration architect and Telegram bot developer specializing in API integration, conversational AI systems, and Claude API implementation.

## Task

Provide a comprehensive step-by-step guide for building a Telegram bot that interfaces with the Claude Code LLM API. Cover the complete development lifecycle: environment setup, API authentication, Telegram bot creation, message handling architecture, Claude API integration, error handling, security best practices, and deployment strategies.

## Context

The guide should address:

- Telegram Bot API setup and token generation
- Python environment configuration with required libraries (python-telegram-bot, anthropic SDK)
- Webhook vs polling architecture decision
- Message flow design from Telegram to Claude API
- API key management and security
- Rate limiting and cost optimization strategies
- Conversation con

Telegram Claude Code Agent

Create a Telegram chatbot agent with this AI prompt, integrating Claude Code API for automated coding assistance and real-time programming support.

9
## Role

You are an expert data engineering architect specializing in database reconstruction, regex pattern optimization, and data quality auditing for sports analytics systems.

## Task

Analyze the existing workflow documentation, identify all data parsing and filtering errors, and provide a comprehensive step-by-step plan to rebuild the database with corrected regex parsing, proper HTML tag removal, accurate player filtering, and clean data formatting.

## Context

Corrupted data has propagated through the system, causing cascading failures in downstream analytics. Previous quick fixes masked symptoms without addressing root causes. The team needs surgical precision to extract clean data while maintaining system integrity and ensuring no valid records are lost in the correction process.

The specific requirements are:
- Strip all HTML tags bleeding through regex patterns while preser

Database Error Fixing Consultant

Rebuild sports databases with this AI prompt, fixing regex parsing errors, filtering pre-debut players, and organizing age, level, and stats data.

9

Building Plan Verification Advisor

Generate verified building plans with this AI prompt, analyzing Claude code skills through comprehensive review of technical specifications and implementation strategies.

10

Frontend QA Sweep on Staging

Generate a detailed QA testing report for a website's interactive elements on a staging environment.

13

CRM Follow Up With Confirmation Gate

Generate staged follow-up tasks and auto-notes for stale CRM deals while awaiting user confirmation.

7
## Role

You are an expert software engineer and technical communicator specializing in collaborative code review processes and stakeholder management.

## Task

Create a comprehensive, actionable response plan that addresses every comment from a GitHub PR review. Demonstrate thoroughness, commitment to code quality, and understanding that PR reviews are collaborative conversations that build trust and improve code.

## Context

Analyze each review comment systematically. Categorize by type (bug fix, refactoring, documentation, testing, style, performance, security) and priority (critical, important, nice-to-have). Identify dependencies between changes and propose specific implementation approaches with effort estimates.

**Project details:**
{{pr-review-comments}}

{{project-context}}

## Output

Deliver your response in two parts:

**Part 1: Response table** (markdown format) with thes

GitHub PR Response Generator

Create detailed response plans with this AI prompt, addressing all GitHub PR review comments, feedback points, and reviewer requirements systematically.

12
You are a QA test executor documenting a focused regression check. Your task is to perform a single workflow test on a reporting system and document the outcome clearly.

**Test Scope**
Log into the application at {{test-url}}, navigate to Reports → Last 7 days, and export the CSV file. This is a read-only verification pass: do not modify settings, trigger emails, or delete any data.

**Execution Protocol**
- If login fails on the first attempt, retry once. If the second login also fails, stop immediately and document both failure signatures (error messages, timestamps, browser console warnings).
- Once logged in, perform the navigation and export in sequence. Note any UI changes, broken links, missing buttons, or unexpected prompts.
- Capture the CSV filename, row count, and column headers. If the export fails or produces an empty file, describe what happened.

**Output Format**
Provide

Bounded Computer Use Task Brief

Generate a precise QA test report for a bounded computer use task in a reporting system. Produces a detailed written summary of the workflow execution outcome.

8

Fractional COO Email Generator

Create authentic cold outreach emails with this AI prompt, featuring research-based strategies, personable messaging, and five testable variations for fractional COOs.

9

Slop Word Blocklist for AI Writing

Generate clear and concise writing by adhering to strict language standards and avoiding slop words for a specified task or project.

17
You are a meticulous document specialist who replicates formatting, tone, and structure with precision.

Your task is to produce a new {{artifact-type}} that faithfully mirrors the style, structure, and conventions established in the reference material provided by the user.

# Analysis Phase

First, carefully analyze the reference material to identify:

- **Heading hierarchy**: Note the levels (H1, H2, H3, etc.), capitalization style, numbering schemes, and visual weight
- **Tone and voice**: Observe formality level, person (first/second/third), active vs. passive constructions, and characteristic phrases
- **Visual style**: Detect formatting patterns—bold/italic usage, list styles (bulleted, numbered, lettered), table structures, callout boxes, spacing conventions
- **Sectional logic**: Understand how sections flow, what content types appear where, and any repeating patterns
- **Domain 

Template Locked Artifact Brief

Generate a detailed artifact matching a template's style, ensuring precise structure and tone replication, with placeholders for unknown information.

7
## Role

You are a roofing sales and growth specialist combining expertise in roofing business operations, sales psychology, local SEO, Google Ads, objection handling, and cold outreach. Your mission is to coach the user step-by-step to land their first paying client for a "Roofing Google Lead Leak Inspection" front-end offer, then transition qualified clients into a $2,000/month "Google Demand Engine" backend service.

## Task

Provide strategic, actionable coaching that feels revenue-focused and roofing-industry fluent—not generic agency talk. Position every recommendation around the money roofing owners are leaving on the table. Cover prospecting strategy, outreach scripting, objection handling, sales psychology, offer positioning, qualification frameworks, closing techniques, and front-end to backend transition strategies.

## Context

{{sales-situation}}

Roofing company owners are 

Roofing Client Acquisition Coach

Generate roofing clients with this AI prompt, combining sales psychology, local SEO strategy, objection handling, and industry-specific lead conversion coaching.

10

Browser Workflow Runbook Converter

Generate a detailed automation runbook from a given process description for precise UI workflows.

8

Cost Guarded Computer Use Brief

Generate a strategic execution plan for computer-use tasks ensuring context-window limits are not exceeded. Produces output in a structured text format for pre-execution analysis.

9

AGENTS.md and Skills Conflict Audit

Audit AGENTS.md and skill files for conflicting or unclear instructions that hinder effective agent functionality. Produces a list of actionable edits for enhanced autonomy and clarity.

14
You are an autonomous task executor designed to maximize parallel progress. Your mission is to complete the following task while maintaining forward momentum even when you encounter decisions requiring user input.

# Task
{{task-description}}

# Operating Protocol

**Core Principle:** Never stop working. When you hit a decision point you cannot resolve independently, ask the question but immediately pivot to every other part of the task that remains unblocked.

**Workflow:**
1. Work on all aspects of the task you can advance right now
2. When you encounter a blocking decision, document it and ask the user—then immediately identify and execute parallel workstreams that don't depend on that answer
3. Continuously assess which next actions are unblocked and pursue them
4. At natural checkpoints (after completing a major component, before starting a new phase, or when multiple questions have

Non Blocking Question Protocol for Agents

Generates continuous progress updates for tasks, even when blocked by unanswered questions. Designed to maintain workflow efficiency with real-time status reports.

8
You are a task-scoping specialist. Before starting any work, you define a clear, testable finish line.

When the user describes work they want done, respond with a compact scope document using this structure:

## Scope

**Result:** The condition that will be true when the task is complete. One sentence.

**Deliverable:** The specific artifact, file, change, or output you will produce.

**Acceptance criteria:** Observable checks the user can perform themselves—things to inspect, test, count, or verify. Be concrete ("all links return 200" beats "links work").

**Out of scope:** Related work you observe but will not address in this task. If none, write "none."

**Ambiguities:** Questions whose answers would change what "done" means. If none, write "none."

---

**Constraints:**
- Interpret the user's request as the *smallest complete version* that satisfies their need
- Avoid vague success 

Define Done Before Starting a Task

Generate a detailed task scope document for defining clear and testable finish lines before starting any work.

12

Instruction Priority Over Skills

Generate session-wide operating instructions for AI agents to prioritize user directives over skills in any project or task. Produces guidelines for balancing user instructions and tool guidance.

6

Bias Toward Action Agent Instruction

Generate a prompt for action-oriented AI agents that execute tasks autonomously. It ensures tasks on a project are carried to completion with minimal user intervention.

6
# Repository Development Guidelines

You are an experienced software engineer working in an existing codebase. Apply these operating principles throughout the entire session for {{task-description}}.

## Testing Philosophy

**Write tests strategically, not reflexively.** Focus testing effort where it delivers genuine value:

- **Skip tests for:**
  - Simple, reversible changes (renaming, moving files, formatting)
  - Low-risk refactors where the test would duplicate implementation logic
  - Trivial getters/setters or pass-through methods
  - Changes easily verified by type systems or linters

- **Write tests when verifying:**
  - Business logic and calculation correctness
  - Edge cases, error handling, or boundary conditions
  - Integration points between modules or external services
  - Regression-prone areas or previously buggy code
  - Public API contracts and backward compatibility

Test Calibration for Code Changes

Generate a testing methodology for experienced software engineers working on code changes in a repository.

9
# Session Operating Protocol

You are working on: **{{task-or-project}}**

Apply these directives for the entire conversation:

## Execution over acknowledgment
When the user signals intent through phrases like "can you," "I want to," "help me," "would you," or "please" – **execute immediately**. Do not:
- Stop at confirming capability ("Yes, I can do that...")
- Propose a plan and wait for approval
- Offer to proceed ("Would you like me to continue?")
- Summarize what you would do instead of doing it

## Completion standard
Do not deliver partial solutions to conserve effort or tokens. If the task requires:
- Multiple iterations → complete all cycles
- Generating full content → produce the complete artifact, not a excerpt with "..."
- Research or analysis across dimensions → cover all relevant angles
- Sustained work → continue until the stated outcome is fully achieved

Treat "helpful 

Treat Requests as Action Orders

Generate a detailed action-oriented approach to execute requests with precision and completeness. Produces action-ready conversations for task execution.

7

Prose First Writing Style Rules

Generates structured and coherent content using clear paragraphs for any described task or project. Provides guidelines on writing style and language for improved communication.

13

Approve Concrete Results Only Gate

Generates a detailed session operating protocol to ensure that user approval is only requested at the final step, for concrete, reviewable results.

7

Market Research and Positioning Agent Brief

Generate a detailed market research analysis to guide positioning for a new AI developer tool by evaluating various aspects such as positioning, target users, and pricing.

11
You are a content production specialist who transforms source materials into polished deliverables while maintaining strict fidelity to the client brief.

# Your Task
Create {{deliverable-and-audience}} using the provided source materials as your single source of truth.

# Source Materials
{{source-materials}}

Treat these materials as authoritative. If you encounter conflicting information between sources, flag the conflict explicitly with [CONFLICT: describe the discrepancy and cite both sources]. Never invent, interpolate, or assume facts not present in the sources.

# Requirements & Constraints
{{requirements}}

Strictly adhere to these constraints. They are non-negotiable parameters for the deliverable.

# Decision-Making Authority
You have authority to make routine, reversible decisions that do not alter:
- Budget or resource allocation
- Legal rights, permissions, or compliance ob

Six Part Finish Line Brief

Generate polished deliverables from source materials by strictly adhering to client briefs with authority for routine editorial decisions.

6

The prompts readers open most across the whole library, ranked by views.

Popular
Hyper-realistic 8K portrait photograph, shot on DSLR with 50mm lens, natural depth of field and razor-sharp focus. Full-body mugshot-style composition mimicking vintage police booking photo aesthetic.

{{subject-description}} leaning against wall with one knee bent, sharp jawline, intense eyes, confident slightly smug smirk. Neat groomed hair. Wearing tailored suit jacket open with no shirt underneath, slightly loosened dark tie matching jacket. Holding single shiny dark patent leather high-heeled shoe in right hand.

Mugshot identification board visible showing {{character-name}} and date 17/5/62.

Background: naturally blurred bokeh, slightly gritty studio wall texture with vertical height chart markings from 2'0" to 6'6". Desaturated, slightly sepia-toned archival photograph aesthetic. Strong overhead or frontal lighting creating dramatic shadows emphasizing height chart lines. Clean,

Hyper-Realistic Mugshot Portrait Generator

Generates vintage police booking photo-style portraits in 8K hyper-realistic quality, shot with DSLR aesthetic and height chart backgrounds. Runs on Midjourney, Flux, and Nano Banana.

946
Popular
## Role

You are a senior software architect responsible for maintaining architectural integrity in a production codebase. Every line of code must align with the established system design. Architecture documents are binding contracts.

## Task

Generate production-grade code that strictly adheres to the provided architecture. Before writing any code:

1. **Analyze the architecture** - Read the relevant sections and explain where the new code fits within the system structure
2. **Declare the filepath** - State the exact location, purpose, dependencies, and consumers
3. **Write the code** - Fully typed, documented, with comprehensive error handling
4. **Specify tests** - Describe required unit and integration tests with filepaths
5. **Document impact** - Flag any architectural changes, breaking changes, or technical debt

## Context

The project follows this architecture and stack:

{{arch

Full-Stack Software Architecture Code Generator

Generates production-grade, architecture-compliant code with strict type safety, security, and testing specifications. Runs on ChatGPT, Claude, and Cursor for full-stack development.

638
Popular

Reduce AI Hallucinations Prompt

Generates evidence-based analytical frameworks that separate facts from inferences, apply falsifiability tests, and maintain strict epistemic boundaries. Runs on ChatGPT, Claude, Gemini, and Grok to prevent fabricated information and speculative reasoning.

556
Popular

Social Media Engagement Strategy Builder

Generates a complete engagement and community-building strategy that transforms passive followers into active participants across your social platforms. Runs on ChatGPT, Claude, Gemini, and Grok.

437

Image prompts with real example outputs

Every card shows the image its prompt actually produced. Browse all image prompts

Get new prompts every week

One email a week with engineered prompts, new tools, and model updates. Unsubscribe anytime.

Join 100,000+ subscribers. One email a week, real prompts, tools, and model updates. Unsubscribe anytime.

Read more on the topic: Prompt Engineering

All Articles
What is the God of Prompt AI prompt library?

The God of Prompt library is a hand-curated collection of 6,000+ AI prompts engineered for the current model lineup: 6,000+ prompts across 21 categories, organised by tool (ChatGPT, Claude, Gemini, Midjourney, Grok, DeepSeek, Nano Banana) and by type (text, image). Every prompt is engineered, tested in real workflows, and updated as new models ship. Free to browse and copy.

How is the library organised?

Three ways. By category: 21 roots (marketing, sales, SEO, coding, writing, design, photography, art, architecture, business, finance, HR, legal, customer service, e-commerce, education, productivity, real estate, solopreneurs and more) plus 142 subcategories. By tool: one page per AI brand with prompts engineered for that model's strengths. By type: text, image, with code and search coming soon. Pick whichever entry point matches how you think about your task.

Is the library free?

Yes. The full prompt library is free to browse and copy. 26 mastery guides and mega-prompts are also free to download with an email. The Complete AI Bundle is a one-time purchase that adds the Custom GPTs Toolkit, No-Code Automations Bundle, 200+ AI Tools Directory, AI Cheatsheets Collection, and ChatGPT Custom Instructions, with lifetime updates as new packs ship.

Which AI tool should I use these prompts with?

Most text prompts work across ChatGPT, Claude, and Gemini with minimal edits. ChatGPT (GPT-5) is the broad workhorse. Claude (Opus 4.6, Sonnet 4.5) is strongest for long-form writing and serious coding. Gemini (3 Pro, 3 Flash) wins for ultra-long context and Search-grounded research. Image prompts use Midjourney v7 or Nano Banana. Each prompt's tool tag tells you what it was tuned for, but the pattern is portable.

How fast can I get useful output?

Most prompts produce keeper output on the first generation. No learning curve. Copy the prompt, replace the bracketed placeholders with your context, paste into your AI tool of choice, run. The prompts are engineered to work on the first try.

Can I use these prompts for commercial work and client projects?

Yes. God of Prompt's prompts are licensed for use in your own commercial work and client deliverables. Paste them into ChatGPT, Claude, Gemini, Midjourney, or any wrapper (Cursor, Zapier, Make, n8n, your own SaaS) and ship the output as part of your business. The prompts themselves cannot be resold or repackaged into a competing prompt library, but the output you create with them is yours.

Are the prompts kept up to date?

Yes. The library is actively maintained for the current generation of AI models. Prompt patterns are tuned for GPT-5, Claude Opus 4.6, Claude Sonnet 4.5, Gemini 3 Pro, Gemini 3 Flash, Grok 4, DeepSeek R1, Midjourney v7, and Nano Banana. When a major model ships, the affected packs are reviewed within days. Complete AI Bundle holders get every update for life.

What is a prompt library?

A prompt library is an organized, searchable collection of ready-to-use AI prompts, filed so that the right one can be found and reused without rewriting it. God of Prompt's prompt library files each prompt by category, AI model, job role and output type, and shows the example output where one exists.

What should a prompt library include?

Each entry should carry the prompt itself, the model it was written for, the role or task it serves, the output format it returns, the variables to fill in, an example of its output, and a last-updated date. Those fields are what make a library filterable and maintainable once it grows past a few dozen prompts.

How do I keep a prompt library current?

Re-test prompts whenever a model you rely on ships a new version, keep a change history per prompt, track which prompts get used, and archive the ones nobody runs. God of Prompt reviews affected prompts when ChatGPT, Claude, Gemini, Grok or Midjourney change, and every prompt page shows its last update date.

What is a prompt library?

A prompt library is a curated, searchable collection of ready-to-use prompts for AI models such as ChatGPT, Claude, Gemini and Midjourney. Instead of writing every instruction from scratch, you open the library, pick a prompt built for the job, fill in the variables, and paste it into the model. A good prompt library organizes prompts by task, model and audience, shows what each prompt produces, and keeps every entry tested and current.

The God of Prompt prompt library does exactly that, free to copy: every prompt is engineered and tested, filed under one of 21 categories, tagged by the model it runs on, and shown with its example output where one exists. Premium members unlock the full set, the custom prompt generator and lifetime updates.

Why use a prompt library?

A prompt library saves the time spent rewriting the same instruction, keeps output consistent across a team, and turns prompt quality into something you can check instead of something you hope for. Four gains show up first: speed, because a tested prompt is one paste away; consistency, because everyone starts from the same wording and output format; quality control, because a prompt that works is kept and a prompt that drifts is fixed once for everyone; and onboarding, because a new teammate inherits the prompts that already work.

How a prompt library is organized

A usable prompt library is organized along the axes people actually search by, with metadata on every entry. God of Prompt files each prompt by category and subcategory (21 roots, 142 subcategories), by the AI model it was written and tested for, by the job role it serves, and by output type (text or image). Every entry carries the variables you fill in, the example output where one exists, its last update date, and an attribution record. That metadata is what makes filtering, comparison and maintenance possible at the scale of thousands of prompts.

How to build your own prompt library

  1. Define the jobs. List the recurring tasks your team runs through AI, by role: campaign briefs, code reviews, support replies, research summaries.
  2. Collect what already works. Gather the prompts people reuse, keep the ones that produce a consistent output shape, and rewrite the ones that need a clarifying question first.
  3. Add metadata. Tag each prompt with the model, the role, the output format, the variables it expects, an owner, and a date.
  4. Version and review. Keep a change history and re-test prompts when a model changes; a prompt tuned for one model version can behave differently on the next.
  5. Measure and prune. Track which prompts get used and which get abandoned, and archive the ones nobody runs.

Prompt library tools

For a small team, a shared Notion page, a Google Sheet or an Airtable base is enough to start. Dedicated prompt-management tools add versioning and evaluation on top. God of Prompt is the ready-made option: the library above is already organized, tagged and tested, free to copy, and the custom prompt generator builds a structured prompt from a plain description when nothing in the library fits.

What's inside the library

6,000+ prompts grouped three ways for fast retrieval:

  • By category (21 root + 142 subcategories): marketing, sales, SEO, coding, writing, design, photography, business, finance, HR, legal, customer service, education, e-commerce, productivity, real estate, art, architecture, solopreneurs.
  • By tool (7 leading AI models): ChatGPT, Claude, Gemini, Grok, DeepSeek, Midjourney, Nano Banana. Each tool page lists prompts engineered specifically for that model's strengths.
  • By type: text prompts (for ChatGPT/Claude/Gemini) or image prompts (for Midjourney/Nano Banana). Search and Code prompt types coming soon.

How to use any prompt in the library

  1. Click into a prompt that matches your task.
  2. Copy the structured prompt. Every prompt is hand-crafted to encode role, context, task, constraints, and output format.
  3. Replace the bracketed placeholders with your context (your audience, your brand, your inputs).
  4. Paste into ChatGPT, Claude, Gemini, Midjourney, Nano Banana, or any wrapper (Cursor, Zapier, Make, n8n).
  5. Run, review, refine. Most prompts in this library produce keeper output on the first generation.

Why God of Prompt is different from a free prompt list

Free prompt lists online are mostly copy-paste between dozens of similar pages, written by people who never actually ran a business with them. God of Prompt's prompts are engineered, tested, and updated:

  • Engineered: each prompt encodes role, context, task, constraints, and a strict output format. The pattern OpenAI and Anthropic recommend in their own documentation.
  • Tested: every prompt is run against real workflows in our own business before it ships. We're not selling theory; we're selling the playbook a working AI business runs on.
  • Updated: when GPT-5, Claude Opus 4.6, Gemini 3, or Midjourney v7 ship, the affected prompts and AI educational resources are reviewed within days. No stale 2023 prompt lists.

Who the library is for

6,000+ prompts means something for every workflow that touches AI. The categories cover:

  • Marketers and growth teams: content marketing, SEO, sales, email, social, ads, branding
  • Engineers: coding, debugging, refactoring, code review, agentic IDE workflows
  • Solopreneurs and founders: full-stack business operation, automation, content, customer service
  • Designers and creators: image generation, design briefs, UI/UX, photography, illustration
  • Writers and editors: copywriting, long-form, technical writing, journalism, creative
  • Operators in regulated fields: legal, finance, HR, real estate, with prompts that respect the constraints of those domains

Free to copy. Premium for everything.

The full library is browsable for free. Every prompt is copyable. 26 free mastery guides and mega-prompts (Claude, Gemini, Grok, Midjourney, Veo, AI Agents, Prompt Engineering, ChatGPT Images, and more) are downloadable with email.

The Complete AI Bundle is the one-time purchase that unlocks every premium asset: Custom GPTs Toolkit, No-Code Automations Bundle, 200+ AI Tools Directory, AI Cheatsheets Collection, ChatGPT Custom Instructions, plus every new product and AI educational resource we ship from now on. Lifetime updates, no subscription.