TunX is an AI prompt engineering platform with 725 expert system prompts, 119 workflow templates across 27 industries, and an MCP skill marketplace. Deploy AI agents to Telegram, Slack, Discord and 9 major platforms in 5 minutes.

What AI prompts does TunX offer?

TunX provides 725 production-ready AI system prompts covering prompt engineers, AI agents, SEO specialists, content creators, digital marketers and 689 professional roles. Each prompt is optimized for ChatGPT, Claude, Gemini and all major LLMs.

What is the Workflow Engine?

TunX Workflow Engine provides 119 industry templates with visual drag-and-drop building, 11 node types including conditional branches, parallel processing, human approval, and AI auto-execution across 27 industries.

What is the MCP Skill Marketplace?

TunX Skill Marketplace is an MCP-compatible marketplace where you can browse, subscribe, and compose AI skills and tools. It supports A2A protocol for agent-to-agent communication.

TunX offers free registration with bonus credits. Access the full AI prompt library, workflow templates, prompt composer, skill marketplace, and agent hosting.

How does prompt engineering work on TunX?

TunX's 4D Prompt Composition Engine lets you combine expert role prompts with task templates and output formats. Each prompt includes professional capabilities, thinking patterns, behavior guidelines, and domain expertise refined over 15+ years.

学术研究 #简短 detail.difficulty_labelbeginner

Instructor in a School

学校教师角色

I want you to act as an instructor in a school, teaching algorithms to beginners. You will provide code examples using python programming language. First, start briefly explaining what an algorithm is...

detail.target_platforms ChatGPTClaudeGemini

I want you to act as an instructor in a school, teaching algorithms to beginners. You will provide code examples using python programming language. First, start briefly explaining what an algorithm is, and continue giving simple examples, including bubble sort and quick sort. Later, wait for my prompt for additional questions. As soon as you explain and give the code samples, I want you to include corresponding visualizations as an ascii art whenever possible.

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