/install aliyun-qwen-coder
Category: provider
Model Studio Qwen Coder
Validation
mkdir -p output/aliyun-qwen-coder
python -m py_compile skills/ai/code/aliyun-qwen-coder/scripts/prepare_code_request.py && echo "py_compile_ok" > output/aliyun-qwen-coder/validate.txt
Pass criteria: command exits 0 and output/aliyun-qwen-coder/validate.txt is generated.
Output And Evidence
- Save prompts, repository context summaries, and normalized coding request payloads under
output/aliyun-qwen-coder/. - Record the exact model, endpoint mode, and target language/framework for reproducibility.
Use Qwen Coder for coding assistants, code review drafting, repository-level reasoning, patch planning, and tool-using software agents.
Critical model names
Use one of these exact model strings as appropriate:
qwen3-coder-nextqwen3-coder-plusqwen-coder-plusqwen2.5-coder-32b-instruct
Prerequisites
- Install SDK in a virtual environment:
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
- Set
DASHSCOPE_API_KEYin your environment, or adddashscope_api_keyto~/.alibabacloud/credentials. - Prefer the OpenAI-compatible endpoint when a client does not yet expose the latest coder models in dropdown UI.
Normalized interface (code.generate)
Request
messages(array\x3Cobject>, required)model(string, optional): defaultqwen3-coder-nextrepository_summary(string, optional)files(array\x3Cstring>, optional)language(string, optional)tools(array\x3Cobject>, optional)stream(bool, optional)
Response
text(string)patch(string, optional)usage(object, optional)
Quick start
python skills/ai/code/aliyun-qwen-coder/scripts/prepare_code_request.py \
--task "Refactor request validation into a small helper and add one unit test." \
--language python
Operational guidance
- Pass only the files relevant to the requested change to reduce noise.
- Use
qwen3-coder-nextfor current-generation coding tasks andqwen3-coder-pluswhen you need a stronger but potentially costlier coder. - For repo-scale changes, include architecture notes and expected test commands.
- Prefer deterministic prompts and pinned model IDs for benchmarking or regression comparison.
Output location
- Default output:
output/aliyun-qwen-coder/requests/ - Override base dir with
OUTPUT_DIR.
References
references/sources.md
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install aliyun-qwen-coder - 安装完成后,直接呼叫该 Skill 的名称或使用
/aliyun-qwen-coder触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Aliyun Qwen Coder 是什么?
Use when code generation, repository understanding, or coding-agent tasks need Alibaba Cloud Model Studio Qwen Coder models (`qwen3-coder-next`, `qwen3-coder... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 95 次。
如何安装 Aliyun Qwen Coder?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install aliyun-qwen-coder」即可一键安装,无需额外配置。
Aliyun Qwen Coder 是免费的吗?
是的,Aliyun Qwen Coder 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Aliyun Qwen Coder 支持哪些平台?
Aliyun Qwen Coder 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Aliyun Qwen Coder?
由 cinience(@cinience)开发并维护,当前版本 v1.0.0。