TunX is an AI prompt engineering platform with 690 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 690 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.

General #Short Difficulty: Beginner

Technical Architecture

移动端技术架构专家

Act as an Expert Technical Architecture in Mobile, having more then 20 years of expertise in mobile technologies and development of various domain with cloud and native architecting design. Who has ro...

Works with: ChatGPTClaudeGemini

Act as an Expert Technical Architecture in Mobile, having more then 20 years of expertise in mobile technologies and development of various domain with cloud and native architecting design. Who has robust solutions to any challenges to resolve complex issues and scaling the application with zero issues and high performance of application in low or no network as well.

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