Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
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Delegates tasks to Qwen CLI via delegation-core for Alibaba's models. Use when delegation-core selects Qwen or large-context batch processing is needed.
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Review the instructions the agent will receive before you install.
This skill implements conjure:delegation-core for the Qwen CLI.
It provides Qwen-specific authentication, quota management,
and command construction.
For shared delegation patterns, see Skill(conjure:delegation-core).
Skill(conjure:delegation-core) determines Qwen is suitableqwen CLI is installed and configuredconjure:delegation-core)conjure:gemini-delegation)Installation:
# Install Qwen CLI
npm install -g @qwen-code/qwen-code
# Verify installation
qwen --version
# Authenticate: run qwen once and complete the flow it offers
qwen
There is no qwen auth subcommand. qwen --help lists none, and
this file documented three that do not exist: qwen auth status,
qwen auth login and QWEN_API_KEY.
Anything after qwen that is not a recognized flag is delivered to the
model as the prompt, so qwen auth status asked Qwen the question
"auth status" and was billed for it.
Probed on 2026-08-22 it answered
[API Error: 401 Incorrect API key provided] and exited 0, which is
why the delegation registry now declares no auth probe for qwen.
Credentials land in ~/.qwen/oauth_creds.json, which carries its own
expiry_date.
~/.qwen/settings.json exists without credentials, so it is not the
file to test.
The delegator reads the stated expiry and skips qwen without spawning
it, which is what stopped every chain walk paying for a rejected call.
Verification: make -C plugins/conjure delegate-doctor reports
qwen's credential state, including an expiry that has passed.
# Basic file analysis
uv run python scripts/delegation_executor.py qwen "Analyze this code" \
--files src/main.py
# With specific model
uv run python scripts/delegation_executor.py qwen "Summarize" \
--files src/**/*.py --model qwen-max
# With output format
uv run python scripts/delegation_executor.py qwen "Extract functions" \
--files src/main.py --format json
# 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 "..."
qwen -p "..." > delegations/qwen/$(date +%Y%m%d_%H%M%S).md
The shared delegation executor can auto-select the best service:
# Auto-select a service for the task
uv run python scripts/delegation_executor.py auto "Analyze large codebase" \
--files src/**/*
For Qwen-specific models, CLI options, cost reference,
and troubleshooting, see modules/qwen-specifics.md.
qwen --version exits 0 and ~/.qwen/oauth_creds.json exists with
an expiry_date in the future before any task is delegated. A missing
installation or an expired credential is reported and stops execution.
There is no qwen auth status to run, and asking for one bills a
completion.delegations/qwen/YYYYMMDD_HHMMSS.md (timestamp
format matching the Quick Start example), and that file exists on disk after delegation.conjure:delegation-core selected a different provider (Gemini or local), this skill
is not invoked; Qwen delegation only runs when delegation-core explicitly routes to Qwen.delegation_executor.py auto logs which provider was selected and
why before executing the task, so the selection is auditable.No reviews yet. Tell others what you thought.
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
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Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
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Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
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Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
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Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
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