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aliyun-qwen-coder

aliyun-qwen-coder

github.com/cinienceDevelopment39661 installsUpdated 11w ago
Repository

About aliyun-qwen-coder

aliyun-qwen-coder is a Qwen Coder skill for coding assistants and software agents, covering code generation, review drafts, and repository-level reasoning. Its normalized request interface and saved context support repeatable runs.

Key features

  1. 01Prepare code generation requests
  2. 02Include repository context and files
  3. 03Set model, language, and tools
  4. 04Save request and context records

Use cases

  1. 01Draft code review feedback
  2. 02Plan code patches
  3. 03Analyze repository-wide changes
  4. 04Build tool-using software agents

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/cinience/alicloud-skills --skill aliyun-qwen-coder

After installing, type/aliyun-qwen-coderin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

agents/
openai.yaml
references/
sources.md
scripts/
prepare_code_request.py

Details

From the project README

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-next
  • qwen3-coder-plus
  • qwen-coder-plus
  • qwen2.5-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_KEY in your environment, or add dashscope_api_key to ~/.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, required)
  • model (string, optional): default qwen3-coder-next
  • repository_summary (string, optional)
  • files (array, optional)
  • language (string, optional)
  • tools (array, 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-next for current-generation coding tasks and qwen3-coder-plus when 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

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