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Qwen Code

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Run Alibaba Cloud Qwen Code CLI via background process for task execution, code review, and automation.

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About This Skill

# Qwen Code Skill (background-first)

Use bash background mode for non-interactive coding work with Qwen Code CLI.

The Pattern: workdir + background

```bash # Start Qwen Code in target directory bash workdir:~/project background:true yieldMs:30000 command:"qwen -p 'Build a Flask API'" # Returns sessionId for tracking

# Monitor progress process action:log sessionId:XXX

# Check if done process action:poll sessionId:XXX

# Send input (if Qwen asks a question) process action:write sessionId:XXX data:"y"

# Kill if needed process action:kill sessionId:XXX ```

Why workdir matters: Agent wakes up in a focused directory, doesn't wander off reading unrelated files.

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Quick Start

Prerequisites

```bash # Install Qwen Code CLI npm install -g @qwen-code/qwen-code@latest

# Verify installation qwen --version

# Authenticate (Option 1: OAuth) qwen auth login

# Or Option 2: API Key export DASHSCOPE_API_KEY="sk-xxx" ```

Basic Usage

```bash # Check status scripts/qwen-code.js status

# Run a task scripts/qwen-code.js run "Create a Flask API"

# Code review scripts/qwen-code.js review src/app.ts

# Headless mode (JSON output) scripts/qwen-code.js headless "Analyze code" -o json ```

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Commands

| Command | Description | Example | |---------|-------------|---------| | `status` | Check Qwen Code status and authentication | `scripts/qwen-code.js status` | | `run <task>` | Execute programming task | `scripts/qwen-code.js run "Create REST API"` | | `review <file>` | Code review and analysis | `scripts/qwen-code.js review src/main.py` | | `headless <task>` | Headless mode (JSON output) | `scripts/qwen-code.js headless "Analyze" -o json` | | `help` | Show help information | `scripts/qwen-code.js help` |

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OpenClaw Integration

Background Execution

```bash # Basic task bash workdir:~/project background:true yieldMs:30000 \ command:"qwen -p 'Create Python Flask API'"

# Specify model bash workdir:~/project background:true yieldMs:30000 \ command:"qwen -p 'Analyze code structure' -m qwen3-coder-plus"

# YOLO mode (auto-approve) bash workdir:~/project background:true yieldMs:30000 \ command:"qwen -p 'Refactor this function' -y" ```

Process Management

```bash # View logs process action:log sessionId:XXX

# Check completion process action:poll sessionId:XXX

# Send input (if Qwen asks) process action:write sessionId:XXX data:"y" ```

Headless Mode (Automation/CI/CD)

```bash # JSON output qwen -p "Analyze code structure" --output-format json

# Pipeline operations git diff | qwen -p "Generate commit message"

# Batch processing find src -name "*.ts" | xargs -I {} qwen -p "Review {}" ```

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Models

Qwen Code supports Alibaba Cloud models:

  • `qwen3.5-plus` - General purpose (default)
  • `qwen3-coder-plus` - Coding specialized
  • `qwen3-coder-next` - Latest coding model
  • `qwen3-max-2026-01-23` - Most capable

Specify model: ```bash bash workdir:~/project background:true yieldMs:30000 \ command:"qwen -p 'Refactor this' -m qwen3-coder-plus" ```

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Authentication

OAuth (Recommended)

```bash qwen auth login ```

Opens browser for OAuth flow. Token auto-refreshes.

API Key

```bash export DASHSCOPE_API_KEY="sk-xxx" ```

Get key from: https://dashscope.console.aliyun.com/

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⚠️ Rules

  1. Respect tool choice — if user asks for Qwen, use Qwen. NEVER offer to build it yourself!
  2. Be patient — don't kill sessions because they're "slow"
  3. Monitor with process:log — check progress without interfering
  4. YOLO mode for building — `--yolo` auto-approves changes (use in workspace only)
  5. Review mode for safety — production code should use review mode
  6. Parallel is OK — run many Qwen processes at once for batch work
  7. NEVER start Qwen in ~/clawd/ — it'll read your soul docs! Use target project dir or /tmp
  8. Workspace safety — YOLO mode is safe in `agents.defaults.workspace`, not elsewhere

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For

  • Developers using Qwen Code for programming tasks
  • Teams needing code review and analysis
  • Automation scripts and CI/CD integration
  • OpenClaw Sub-Agent and Skills management
  • Batch code analysis and refactoring

Not For

  • Environments without Qwen Code CLI installed
  • GUI-based interaction requirements
  • Non-Alibaba Cloud LLM users
  • Offline environments (requires network connection)

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Security & Boundaries

| Component | Behavior | Executes Shell Commands? | |-----------|----------|-------------------------| | `scripts/qwen-code.js` | Wraps Qwen Code CLI commands | Yes (via `qwen` command) | | `references/qwen-cli-commands.md` | Command reference documentation | No (plain text) | | `assets/examples/` | Example code files | No (static files) |

⚠️ Security Notes

  • This Skill does not execute code directly, only calls Qwen Code CLI
  • All code generation and modifications require user confirmation
  • Use review mode in production environments
  • Disable YOLO mode for sensitive projects

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Examples

See `assets/examples/` for complete examples:

| Example | Description | |---------|-------------| | `basic-task.example.sh` | Basic task execution | | `code-review.example.sh` | Code review workflow | | `ci-cd.example.yml` | GitHub Actions integration | | `headless-mode.example.js` | Node.js automation example |

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References

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Troubleshooting

"qwen: command not found"

```bash npm install -g @qwen-code/qwen-code@latest ```

"Authentication required"

```bash qwen auth login # Or set API key export DASHSCOPE_API_KEY="sk-xxx" ```

Session stuck/waiting for input

```bash # Check what Qwen is asking process action:log sessionId:XXX

# Send approval process action:write sessionId:XXX data:"y" ```

Kill stuck session

```bash process action:kill sessionId:XXX ```

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*Qwen Code Skill 🦌 - Your AI coding partner powered by Alibaba Cloud*

Use Cases

  • Generate professional written content tailored to specific requirements
  • Analyze data and content to extract actionable insights
  • Generate structured output from specifications or requirements
  • Automate repetitive workflows to save time and reduce errors
  • Monitor systems and processes for anomalies and performance issues

Pros & Cons

Pros

  • +Supports batch processing for efficient high-volume operations
  • +Clean CLI interface integrates well with automation pipelines and AI agents
  • +API-based architecture allows flexible integration with various platforms
  • +Reduces manual effort through systematic automation

Cons

  • -Requires API key configuration — not free or self-contained
  • -Workflow patterns are opinionated — may not fit all team processes
  • -Requires initial configuration effort before providing automation benefits

FAQ

What does Qwen Code do?
Run Alibaba Cloud Qwen Code CLI via background process for task execution, code review, and automation.
What platforms support Qwen Code?
Qwen Code is available on Claude Code, OpenClaw.
What are the use cases for Qwen Code?
Generate professional written content tailored to specific requirements. Analyze data and content to extract actionable insights. Generate structured output from specifications or requirements.

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Next Step

Use the skill detail page to evaluate fit and install steps. For a direct browser workflow, move into a focused tool route instead of staying in broader support surfaces.