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qwen-native-agents

Build and prompt Qwen3.x agents using native conventions

Guides building and prompting agents for Qwen3.x models using the exact conventions baked into Alibaba's qwen-code and Qwen-Agent frameworks. Covers tool-calling formats, thinking mode configuration, system prompt structure, and tag markup that Qwen models were trained on. Includes benchmark data showing which settings actually improve tool-call accuracy and instruction following.
npx skills add vakovalskii/qwen-native-agents --all -g -y

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Frequently Asked Questions

FAQPage Schema
How to install qwen-native-agents?โ–ผ

Run `npx skills add vakovalskii/qwen-native-agents --all -g -y` in your terminal to install this skill globally.

How to write a system prompt for a Qwen agent?โ–ผ

Follow the qwen-code section structure: identity, core mandates, task management, workflows, and operational guidelines. Keep the tone concise and direct, and avoid forcing habits like code comments that Qwen resists.

Which tool-calling format works best for Qwen3.x?โ–ผ

Native OpenAI tools work nearly as well as the NOUS format (99% vs 100% accuracy) through standard APIs. Use NOUS only for raw inference, vLLM configs, or debugging.

Should I enable thinking mode for Qwen agents?โ–ผ

Yes. Benchmarks show enabling thinking raised Qwen's tool-call accuracy from 75% to 100% and instruction following from 69% to 85%.

Does this skill work with Claude Code and Cursor?โ–ผ

Yes. The SKILL.md file follows the universal skill standard and loads automatically in Claude Code, Cursor, and compatible agent runtimes.

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