Skills qwen-delegation

Qwen CLI delegation workflow implementing delegation-core for Alibaba's

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/athola/nm-conjure-qwen-delegation" ~/.claude/skills/openclaw-skills-qwen-delegation && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/athola/nm-conjure-qwen-delegation" ~/.openclaw/skills/openclaw-skills-qwen-delegation && rm -rf "$T"
manifest: skills/athola/nm-conjure-qwen-delegation/SKILL.md
source content

Night Market Skill — ported from claude-night-market/conjure. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Table of Contents

Qwen CLI Delegation

Overview

This skill implements

conjure:delegation-core
for the Qwen CLI using shared delegation patterns. It provides Qwen-specific authentication, quota management, and command construction.

When To Use

  • After
    Skill(conjure:delegation-core)
    determines Qwen is suitable
  • When you need Qwen's large context window (100K+ tokens)
  • For batch processing, summarization, or multi-file analysis
  • If the
    qwen
    CLI is installed and configured

When NOT To Use

  • Deciding which model to use (use delegation-core first)
  • Qwen CLI not installed
  • Deciding which model to use (use delegation-core first)
  • Qwen CLI not installed

Prerequisites

Installation:

# Install Qwen CLI
pip install qwen-cli

# Verify installation
qwen --version

# Check authentication
qwen auth status

# Login if needed
qwen auth login

# Or set API key
export QWEN_API_KEY="your-key"

Verification: Run

python --version
to verify Python environment.

Delegation Flow

Implements standard delegation-core flow with Qwen specifics:

  1. qwen-delegation:auth-verified
    - Verify Qwen authentication
  2. qwen-delegation:quota-checked
    - Check Qwen API quota
  3. qwen-delegation:command-executed
    - Execute via Qwen CLI
  4. qwen-delegation:usage-logged
    - Log Qwen API usage

Quick Start

Using Shared Delegation Executor

# Basic file analysis
python ~/conjure/tools/delegation_executor.py qwen "Analyze this code" --files src/main.py

# With specific model
python ~/conjure/tools/delegation_executor.py qwen "Summarize" --files src/**/*.py --model qwen-max

# With output format
python ~/conjure/tools/delegation_executor.py qwen "Extract functions" --files src/main.py --format json

Verification: Run

python --version
to verify Python environment.

Direct CLI Usage

# Basic command
qwen -p "@path/to/file Analyze this code"

# Multiple files
qwen -p "@src/**/*.py Summarize these files"

# Specific model
qwen --model qwen-max -p "..."

Verification: Run the command with

--help
flag to verify availability.

Save Output

qwen -p "..." > delegations/qwen/$(date +%Y%m%d_%H%M%S).md

Verification: Run the command with

--help
flag to verify availability.

Smart Delegation

The shared delegation executor can auto-select the best service:

# Auto-select based on requirements
python ~/conjure/tools/delegation_executor.py auto "Analyze large codebase" \
  --files src/**/* --requirement large_context

Verification: Run

python --version
to verify Python environment.

Shared Patterns

This skill uses shared infrastructure from delegation-core:

  • Shell Execution: See
    delegation-core/shared-shell-execution.md
  • Authentication: Standard CLI authentication patterns
  • Quota Management: Unified quota tracking
  • Usage Logging: Centralized usage analytics

Qwen-Specific Details

For Qwen-specific models, CLI options, cost reference, and troubleshooting, see

modules/qwen-specifics.md
.

Exit Criteria

  • Authentication confirmed working
  • Quota checked and sufficient
  • Command executed successfully using shared infrastructure
  • Usage logged for tracking with unified analytics