DevTk.AI

Prompt Template Library

Curated collection of system prompt templates for coding, writing, analysis, and more.

20 templates found

Senior Code Reviewer

coding

Performs thorough code reviews focusing on bugs, security, performance, and best practices.

Claude 3.5 Sonnet~242 tokens

Bug Diagnosis & Fix

coding

Systematically diagnoses bugs from error messages, stack traces, or unexpected behavior descriptions.

GPT-4o~197 tokens

Refactoring Assistant

coding

Guides code refactoring with specific patterns, maintaining backward compatibility.

Claude 3.5 Sonnet~218 tokens

Unit Test Generator

coding

Generates comprehensive unit tests with edge cases, mocking, and clear test descriptions.

GPT-4o~253 tokens

Code Explainer

coding

Explains complex code in plain language with visual flow diagrams and analogies.

Claude 3.5 Sonnet~245 tokens

Technical Documentation Writer

writing

Creates clear, structured technical documentation for APIs, libraries, or systems.

Claude 3.5 Sonnet~216 tokens

Technical Blog Post Writer

writing

Writes engaging technical blog posts with clear structure, code examples, and practical takeaways.

GPT-4o~260 tokens

README / Project Documentation

writing

Generates comprehensive project documentation including README, contributing guide, and changelog.

Claude 3.5 Sonnet~241 tokens

Data Analysis Assistant

analysis

Analyzes datasets, identifies patterns, and provides actionable insights with visualization suggestions.

GPT-4o~249 tokens

Research Paper Summarizer

analysis

Summarizes research papers, extracts key findings, and assesses methodology quality.

Claude 3.5 Sonnet~238 tokens

Tool-Use Agent System Prompt

agents

System prompt for an AI agent that can use external tools effectively with proper reasoning.

Claude 3.5 Sonnet~299 tokens

Planning & Reasoning Agent

agents

System prompt for an agent that plans multi-step tasks with reasoning traces and self-correction.

GPT-4o~298 tokens

MCP Server Builder Guide

agents

Guides the creation of an MCP server with proper tool definitions, error handling, and testing.

Claude 3.5 Sonnet~295 tokens

Adaptive Learning Tutor

education

Acts as a patient tutor that adapts explanations to the learner level and uses the Socratic method.

GPT-4o~314 tokens

Concept Explainer (ELI5 to Expert)

education

Explains any concept at multiple complexity levels, from simple analogy to expert depth.

Claude 3.5 Sonnet~235 tokens

Product Specification Writer

business

Creates detailed product specifications from feature descriptions, including user stories and acceptance criteria.

GPT-4o~302 tokens

Meeting Notes Summarizer

business

Transforms meeting transcripts into structured summaries with action items and decisions.

GPT-4o~260 tokens

Brainstorming Partner

creative

Facilitates structured brainstorming with multiple ideation techniques and evaluation criteria.

Claude 3.5 Sonnet~299 tokens

Product & Project Name Generator

creative

Generates creative names for products, projects, or features with domain availability checks.

GPT-4o~277 tokens

API Design Reviewer

coding

Reviews API designs for RESTful best practices, consistency, and developer experience.

Claude 3.5 Sonnet~293 tokens

How to Use This Tool

  1. Browse templates by category using the filter pills: Coding, Writing, Analysis, Education, Business, Agents, and Creative.
  2. Use the search bar to find templates by keyword — search works across template names, descriptions, and content.
  3. Click on a template card to expand it and view the full system prompt content.
  4. Replace any {{variables}} in the template with your specific values before using.
  5. Click 'Copy Prompt' to copy the template to your clipboard, ready to paste into your AI tool.
  6. Check the token count displayed on each template to estimate the API cost of using it as a system prompt.

Building Effective AI System Prompts

System prompts are the instructions that define how an AI model behaves. They set the persona, task boundaries, output format, and behavioral constraints. This library provides 20 curated templates across 7 categories, each tested with GPT-4o and Claude to ensure consistent, high-quality outputs.

The templates in this library follow prompt engineering best practices: clear role definition, specific task descriptions, explicit output format requirements, and behavioral constraints. Each template includes {{variables}} that you customize for your specific use case, making them flexible starting points rather than rigid scripts.

When choosing a template, consider your use case complexity. Simple tasks (summarization, classification) work well with concise templates under 200 tokens. Complex tasks (code review, data analysis, agent behavior) benefit from detailed templates with examples and explicit guardrails, typically 300-500 tokens.

These templates are designed to work with any major AI model — OpenAI GPT series, Anthropic Claude, Google Gemini, Meta Llama, and Mistral models all respond well to structured system prompts. The key is matching the template's specificity level to your model's capability.

Last updated: February 2026

FAQ

How should I use these templates?

Copy a template and paste it into your AI assistant's system prompt field. Replace any {{variables}} with your specific values. Templates are designed as starting points — customize them for your use case.

Are these prompts tested?

Yes, all templates are tested with multiple models (GPT-4o, Claude 3.5). However, prompt effectiveness can vary by model and task. We recommend testing with your specific use case.

Can I submit my own prompt?

We plan to add community submissions soon. For now, if you have a great prompt template, you can submit it via our GitHub repository.

What are {{variables}} in templates?

Variables like {{language}}, {{topic}}, or {{format}} are placeholders you replace with your specific values. For example, a coding review template might have {{language}} — replace it with 'Python' or 'TypeScript' before using the prompt. This makes templates reusable across different contexts.

How do I optimize a template for my specific model?

Start with a template, test it with your model, and iterate. Claude models respond well to XML-tagged sections. GPT models prefer numbered instructions. Gemini works well with concise, direct prompts. Use our Prompt Diff tool to track what changes improve your results.

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