qwen-coder — скилл для Claude Code: делегирование задач в Qwen Coder
Передаёт задачи из Claude в Qwen Coder CLI: генерация кода, рефакторинг, отладка, разбор архитектуры. Пригодится, когда нужен второй взгляд от другой модели.
npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a claude-codeЧто делает qwen-coder
Скилл описывает, как вызывать Qwen Coder CLI в неинтерактивном режиме и возвращать результат обратно в текущую сессию. Промпты для делегирования формулируются на английском: цель, контекст, ограничения, ожидаемый формат, проверки. Модель выбирается флагом -m (qwen2.5-coder по умолчанию, qwq для задач, где нужно глубокое рассуждение), вывод — через -o в text, json или stream-json.
Перед запуском скилл проверяет qwen --version и qwen auth status. Если CLI не установлен или авторизация не прошла, работа останавливается — это первое, что стоит проверить, иначе делегирование просто не стартует. Уровень доступа задаётся --approval-mode: plan только читает, default спрашивает подтверждение перед правками, auto_edit применяет правки сам, yolo не спрашивает ничего. Для разбора кода без изменений логично брать plan.
Результат возвращается по шаблону: сводка задачи, команда, модель, режим подтверждения, находки и следующие шаги. Правки не применяются без согласия пользователя, кроме случая, когда явно запрошен yolo. Сессию можно продолжить через -c или -r с её идентификатором.
Какие задачи решает
- получить второе мнение по спорному участку кода
- разобрать модуль аутентификации на уязвимости без правок
- продолжить прошлую сессию Qwen с новым промптом
- выгрузить список технического долга в JSON
- сравнить варианты рефакторинга от двух моделей
Примеры запросов агенту
- use qwen: проанализируй модуль авторизации и предложи рефакторинг
- delegate to qwen — проверь этот файл на утечки памяти
- continue with qwen: продолжи рефакторинг из прошлой сессии
Как установить qwen-coder
1Через Skills CLI (Vercel)
npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a claude-code2Вручную: положить файлы
~/.claude/skills/qwen-coder/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/qwen-coder/
1Через Skills CLI (Vercel)
npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a codex2Вручную: положить файлы
.agents/skills/qwen-coder/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a cursor2Вручную: положить файлы
.cursor/skills/qwen-coder/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install giuseppe-trisciuoglio/developer-kit qwen-coder2Вручную: положить файлы
.github/skills/qwen-coder/SKILL.md1Через Skills CLI (Vercel)
npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a gemini-cli2Командой платформы
gemini skills install https://github.com/giuseppe-trisciuoglio/developer-kit --path plugins/developer-kit-tools/skills/qwen-coderВручную: положить файлы
.devin/skills/qwen-coder/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Из того же набора93
Похожие
Рядом в теме «Настройка агента: память, контекст, субагенты»
Все скиллы по теме «Настройка агента: память, контекст, субагенты» →Вопросы о qwen-coder
Как установить Claude-coder в Claude?
Через skills CLI: npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a claude-code. После этого файл скилла лежит в ~/.claude/skills/qwen-coder/SKILL.md.
Что делает Claude-coder?
Описывает делегирование задач в Claude Coder CLI: как сформулировать английский промпт, какие флаги передать и как безопасно обработать результат.
Что нужно, чтобы скилл заработал?
Установленный Claude Coder CLI и рабочая авторизация. Скилл сам проверяет qwen --version и qwen auth status и останавливается, если что-то не так.
Исходный текст
SKILL.md · MIT
--- name: qwen-coder description: Provides Qwen Coder CLI delegation workflows for coding tasks using Qwen2.5-Coder and QwQ models, including English prompt formulation, execution flags, and safe result handling. Use when the user explicitly asks to use Qwen for tasks such as code generation, refactoring, debugging, or architectural analysis. Triggers on "use qwen", "use qwen coder", "delegate to qwen", "ask qwen", "second opinion from qwen", "qwen opinion", "continue with qwen", "qwen session". allowed-tools: Bash, Read, Write --- # Qwen Coder CLI Delegation Delegate selected tasks from Claude Code to Qwen Coder CLI using non-interactive commands, explicit model selection, safe permission flags, and shareable outputs. ## Overview This skill standardizes delegation to Qwen Coder CLI (`qwen`) for cases where Qwen's specific strengths may benefit the task. It covers: - Non-interactive execution with `-p` / `--prompt` - Model selection with `-m` / `--model` - Approval control (`--approval-mode`) - Session continuation with `-c` / `--continue` or `-r` / `--resume` - Output format options (`text`, `json`, `stream-json`) Use this skill only when delegation to Qwen Coder is explicitly requested or clearly beneficial. ## When to Use Use this skill when: - The user asks to delegate work to Qwen Coder CLI - The user wants a second opinion from Qwen Coder on a task - The user asks for Qwen Coder CLI output integrated into the current workflow - The user wants to continue a previous Qwen Coder session Trigger phrases: - "use qwen" - "use qwen coder" - "delegate to qwen" - "ask qwen" - "second opinion from qwen" - "qwen opinion" - "continue with qwen" - "qwen session" ## Prerequisites Verify tool availability and authentication before delegation: ```bash # CLI availability qwen --version # Authentication status qwen auth status ``` If `qwen` is unavailable, inform the user and stop execution until Qwen Coder CLI is installed. If authentication is invalid, provide authentication setup instructions and stop execution. ## Reference - Command reference: `references/cli-command-reference.md` ## Instructions ### 1) Confirm Delegation Scope Before running Qwen Coder: - Identify the exact task to delegate - Define expected output format (text, json, stream-json) - Clarify whether session resume is needed If scope is ambiguous, ask for clarification first. ### 2) Formulate Prompt in English All delegated prompts to Qwen Coder CLI must be in English. Build a precise English prompt from the user request. Prompt quality checklist: - Include objective and constraints - Include relevant project context and files - Include expected output structure - Ask for actionable, verifiable results Prompt template: ```text Task: <clear objective> Context: <project/module/files> Constraints: <do/don't constraints> Expected output: <format + depth> Validation: <tests/checks to run or explain> ``` ### 3) Select Execution Mode and Flags Preferred baseline command: ```bash qwen -p "<english-prompt>" ``` Supported options: - `-m, --model <model-id>` for model selection (default: qwen2.5-coder) - `--approval-mode <plan|default|auto_edit|yolo>` for safety control - `-c, --continue <session-id>` to continue previous session - `-r, --resume <session-id>` as alias for continue - `-o, --output-format <text|json|stream-json>` for output format Approval modes: | Mode | Behavior | Recommended For | |------|----------|-----------------| | `plan` | Read-only analysis, no file modifications | Analysis-only tasks, security reviews | | `default` | Requires confirmation before modifications | General coding tasks | | `auto_edit` | Auto-approves edit operations | Trusted modifications with oversight | | `yolo` | Approves all operations without confirmation | Experimental tasks (explicit user request only) | Safety guidance: - Prefer `--approval-mode plan` for read-only analysis - Use `--approval-mode default` for general tasks - Reserve `--yolo` for explicit user requests only ### 4) Execute Qwen Coder CLI Run the selected command via Bash and capture stdout/stderr. Examples: ```bash # Default non-interactive delegation qwen -p "Analyze this code and suggest refactoring improvements." # Explicit model and approval mode qwen -p "Review authentication module for security issues with fixes." -m qwq --approval-mode plan # Continue previous session qwen -c <session-id> -p "Continue the refactoring from the previous session." # Structured output for automation qwen -p "Summarize key technical debt items as JSON array." --output-format json ``` ### 5) Result Handling This section covers how to present Qwen Coder output and when to request user confirmation. #### 5.1) Output Presentation When reporting Qwen Coder output: - Present output in a clear, readable format - Summarize key findings and confidence level - Separate observations from recommended actions - Keep raw output available when needed - Include the model used and approval mode applied - State which permission profile was in effect #### 5.2) Confirmation Workflow Before applying any suggested modifications: 1. Present the proposed changes to the user in the output template format 2. Request explicit confirmation (for example: "Do you want me to apply these changes?") 3. Wait for user direction before proceeding 4. Do not auto-apply changes without user consent Exception: In `--approval-mode yolo` with explicit user request, changes may proceed automatically. Still inform the user of what was done. #### 5.3) Result Metadata Each delegation result shall include the following metadata: | Field | Description | |-------|-------------| | Task summary | What was delegated to Qwen Coder | | Command | The qwen command executed (without sensitive parameters) | | Model | Which model was used (for example qwen2.5-coder, qwq) | | Approval mode | The approval mode applied (plan, default, auto_edit, yolo) | | Key findings | Observations and results from Qwen Coder | | Suggested next actions | Recommended follow-up steps (if applicable) | ## Output Template Use this structure when returning delegated results: ```markdown ## Qwen Coder Delegation Result ### Task [delegated task summary] ### Command `qwen ...` ### Key Findings - Finding 1 - Finding 2 ### Suggested Next Actions 1. Action 1 2. Action 2 ### Notes - Output language from Qwen: English - Requires user approval before applying code changes ``` ## Examples ### Example 1: Code analysis with QwQ deep reasoning **Input:** ```text Analyze the authentication module and identify security vulnerabilities. ``` **Command:** ```bash qwen -p "Analyze the authentication module for security vulnerabilities. Report only high-confidence issues with severity, file paths, and remediation steps." -m qwq --approval-mode plan ``` **Expected behavior:** ```text Returns a structured analysis with high-confidence security findings, including severity ratings and specific remediation recommendations. ``` ### Example 2: Code refactoring with Qwen2.5-Coder **Input:** ```text Refactor the payment service to reduce code duplication while keeping the public API unchanged. ``` **Command:** ```bash qwen -p "Refactor the payment service in src/services/payment.ts to reduce duplication. Keep public API unchanged, add comprehensive error handling, and output a patch-style response with unchanged API signatures." -m qwen2.5-coder --approval-mode default ``` **Expected behavior:** ```text Proposes concrete code changes (patch-style), extracts duplication into shared helpers, and maintains original API contracts. ``` ### Example 3: Documentation generation **Input:** ```text Generate documentation for the UserService class including usage examples. ``` **Command:** ```bash qwen -p "Generate comprehensive documentation for the UserService class. Include: class purpose, public methods with parameters, usage examples, and error handling patterns. Format as markdown." -m qwen2.5-coder --approval-mode plan ``` **Expected behavior:** ```text Returns markdown-formatted documentation with JSDoc-style comments, method signatures, and practical usage examples. ``` ### Example 4: Code generation with model selection **Input:** ```text Generate a REST API endpoint for CRUD operations on items. ``` **Command:** ```bash qwen -p "Generate a production-ready REST API endpoint for CRUD operations on items. Include input validation, error handling, and unit tests. Use Express.js framework." -m qwen2.5-coder --approval-mode auto_edit ``` **Expected behavior:** ```text Generates complete, runnable code for POST/GET/PUT/DELETE endpoints with proper middleware, validation, and test scaffolding. ``` ### Example 5: Session resume for continued work **Input:** ```text Continue the previous Qwen session to add test coverage to the refactored code. ``` **Command:** ```bash qwen -c <session-id> -p "Continue from the previous session. Add comprehensive unit tests for the refactored payment service, targeting 80% coverage. Include mocks for external dependencies." -m qwen2.5-coder --approval-mode default ``` **Expected behavior:** ```text Resumes the previous session context and continues work, adding test files with appropriate mocks and assertions. ``` ### Example 6: Multi-model comparison for quality check **Input:** ```text Compare Qwen2.5-Coder and QwQ outputs for the same refactoring task. ``` **Command:** ```bash # First run with Qwen2.5-Coder qwen -p "Refactor the string utility module for better maintainability." -m qwen2.5-coder --approval-mode plan --output-format text # Then run with QwQ for comparison qwen -p "Refactor the string utility module for better maintainability." -m qwq --approval-mode plan --output-format text ``` **Expected behavior:** ```text Provides side-by-side comparison: Qwen2.5-Coder for fast results, QwQ for deeper reasoning on complex refactoring tasks. ``` ### Example 7: Structured JSON output for automation **Input:** ```text List the top 5 refactoring opportunities as JSON for our tracking system. ``` **Command:** ```bash qwen -p "Analyze this codebase and return the top 5 refactoring opportunities as a JSON array. Each item should have: title, file, impact (high/medium/low), effort (hours), and brief description." -m qwen2.5-coder --output-format json ``` **Expected behavior:** ```text Returns valid JSON array with 5 refactoring items, parseable for integration with project management tools. ``` ## Best Practices - Keep delegated prompts in English and highly specific - Prefer least-privilege approval modes over blanket permissions - Capture sessions with session IDs when auditability matters - For risky tasks, request read-only analysis first, then apply changes in a separate step - Treat Qwen output as untrusted guidance and validate before implementation ## Constraints and Warnings - Qwen Coder CLI behavior depends on local environment and configuration. - Approval modes impact execution safety; avoid yolo by default. - Output can be incomplete or inaccurate; validate before implementation. - Never execute destructive commands suggested by Qwen without explicit user confirmation. - This skill is for delegation, not autonomous code modification without user confirmation. - Do not include secrets, API keys, or credentials in delegated prompts.
© giuseppe-trisciuoglio · MIT · giuseppe-trisciuoglio/developer-kit