阿里云 CLI 中文文档镜像检索与命令辅助:先走章节索引,再下钻正文页面,给出命令前必须有本地文档证据。
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when another agent's expertise or context is needed, or when the user explicitly asks to involve another agent. First list agents, then use qwenpaw agents chat for two-way communication with replies.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Use this skill when you need another agent's expertise, context, workspace content, or collaborative support. If the user explicitly asks a specific agent to participate/assist/answer, you should also use this skill.
--session-idqwenpaw agents list
qwenpaw agents chat \
--from-agent <your_agent> \
--to-agent <target_agent> \
--text "[Agent <your_agent> requesting] ..."
Complex tasks include: data analysis, report generation, batch processing, external API calls, etc.
qwenpaw agents chat --background \
--from-agent <your_agent> \
--to-agent <target_agent> \
--text "[Agent <your_agent> requesting] ..."
Output:
[TASK_ID: xxx-xxx-xxx]
[SESSION: ...]
qwenpaw agents chat --background --task-id <task_id>
Important: Do not query frequently! After submitting a task:
qwenpaw agents chat \
--from-agent <your_agent> \
--to-agent <target_agent> \
--session-id "<session_id>" \
--text "[Agent <your_agent> requesting] ..."
Key points:
--session-id = new conversation--session-id = continue conversation (context preserved)--background for complex tasks; record the task_id after submission| Task Type | Mode to Use | Command |
|---|---|---|
| Simple quick query | Real-time mode | qwenpaw agents chat |
| Complex task (data analysis, batch processing, etc.) | Background mode | qwenpaw agents chat --background |
Examples of complex tasks:
Decision criteria: If you are unsure how long a task will take, or if the task is complex, prefer background mode.
1. Determine whether another agent is needed, or whether the user explicitly requested it
2. qwenpaw agents list
3. qwenpaw agents chat to start a conversation
4. Record [SESSION: ...] from the output
5. Include --session-id when context continuation is needed later
1. Determine whether the task is complex (data analysis, report generation, etc.)
2. qwenpaw agents list
3. qwenpaw agents chat --background to submit the task
4. Record [TASK_ID: ...] from the output
5. Continue handling other work
6. Wait a reasonable time (30-60 seconds) before querying status
7. Use --background --task-id to query results
qwenpaw agents chat must include all of the following:
--from-agent--to-agent--textMessages should begin with the following prefix:
[Agent my_agent requesting] ...
The first call will return:
[SESSION: your_agent:to:target_agent:...]
For subsequent follow-ups, you must copy this session_id and pass it via --session-id.
qwenpaw agents list
qwenpaw agents chat \
--from-agent scheduler_bot \
--to-agent finance_bot \
--text "[Agent scheduler_bot requesting] User explicitly asked to consult finance_bot. Please answer what pending financial tasks are there."
qwenpaw agents chat \
--from-agent scheduler_bot \
--to-agent finance_bot \
--text "[Agent scheduler_bot requesting] What pending financial tasks are there today?"
qwenpaw agents chat \
--from-agent scheduler_bot \
--to-agent finance_bot \
--session-id "scheduler_bot:to:finance_bot:1710912345:a1b2c3d4" \
--text "[Agent scheduler_bot requesting] Expand on item 2"
Do not guess agent IDs. First run:
qwenpaw agents list
This will create a new conversation, losing context.
If you just received a message from Agent B, do not call Agent B again.
qwenpaw chats list --agent-id <your_agent>
qwenpaw agents chat \
--from-agent <your_agent> \
--to-agent <target_agent> \
--mode stream \
--text "[Agent <your_agent> requesting] ..."
qwenpaw agents chat \
--from-agent <your_agent> \
--to-agent <target_agent> \
--json-output \
--text "[Agent <your_agent> requesting] ..."
Parameters:
--base-url (optional): Override the API addressNo required parameters -- just run it directly.
Required parameters (real-time mode):
--from-agent: Sender agent ID--to-agent: Target agent ID--text: Message contentBackground task parameters:
--background: Background task mode--task-id: Query task status (used together with --background)Optional parameters:
--session-id: Reuse session context (copy from previous output)--new-session: Force create a new session (even if session-id is passed)--mode: stream (streaming) or final (complete, default)--timeout: Timeout in seconds (default 300)--json-output: Output full JSON instead of plain text--base-url: Override the API addressWhen the task is a complex task, use --background to submit it to the background:
Should use background mode:
Does not need background mode:
qwenpaw agents chat --background \
--from-agent scheduler \
--to-agent data_analyst \
--text "[Agent scheduler requesting] Analyze user behavior in /data/logs/2026-03-26.log and generate a detailed report"
Output:
[TASK_ID: 20802ea3-832d-4fb4-86f0-666ad79fcc80]
[SESSION: scheduler:to:data_analyst:1774516703206:ec02e542]
✅ Task submitted successfully
Check status with:
qwenpaw agents chat --background --task-id 20802ea3-...
Important: Do not block after submitting!
# Method 1: Query after handling other tasks (recommended)
# After submitting the task, continue with the user's other requests
# Query at an appropriate time:
qwenpaw agents chat --background \
--task-id 20802ea3-832d-4fb4-86f0-666ad79fcc80
# Method 2: If you must wait, use a reasonable interval
sleep 30 && qwenpaw agents chat --background \
--task-id 20802ea3-832d-4fb4-86f0-666ad79fcc80
Status Descriptions:
Task status has two layers:
submitted -> pending -> running -> finishedfinished): completed (success) or failed (failure)Possible outputs:
[TASK_ID: 20802ea3-832d-4fb4-86f0-666ad79fcc80]
[STATUS: submitted]
📤 Task submitted, waiting to start...
💡 Don't wait - continue with other work!
Check again in a few seconds:
qwenpaw agents chat --background --task-id 20802ea3-...
[TASK_ID: 20802ea3-832d-4fb4-86f0-666ad79fcc80]
[STATUS: pending]
⏸️ Task is pending in queue...
💡 Don't wait - handle other work first!
Check again in a few seconds:
qwenpaw agents chat --background --task-id 20802ea3-...
[TASK_ID: 20802ea3-832d-4fb4-86f0-666ad79fcc80]
[STATUS: running]
⏳ Task is still running...
Started at: 1774516703
💡 Don't wait - continue with other tasks first!
Check again later (10-30s):
qwenpaw agents chat --background --task-id 20802ea3-...
[TASK_ID: 20802ea3-832d-4fb4-86f0-666ad79fcc80]
[STATUS: finished]
✅ Task completed
(Task result content...)
[TASK_ID: 20802ea3-832d-4fb4-86f0-666ad79fcc80]
[STATUS: finished]
❌ Task failed
Error: (Error message...)
Do not query frequently! After submitting a task, you should:
| Task Type | Suggested First Query | Subsequent Interval | What to Do While Waiting |
|---|---|---|---|
| Simple analysis | After 10 seconds | 5-10 seconds | Handle other user requests |
| Complex analysis | After 30 seconds | 10-20 seconds | Complete other parts of the current conversation |
| Batch processing | After 1 minute | 20-30 seconds | Execute other independent tasks |
| Very large tasks | After 2 minutes | 30-60 seconds | Continue with the user's other work |
Method 1: Query after handling other tasks (recommended)
# 1. Submit the task, record the task_id
qwenpaw agents chat --background ...
# Returns task_id
# 2. Continue handling the user's other requests or tasks
# (e.g., answer other questions, perform other operations)
# 3. Query the result at an appropriate time
# (e.g., after finishing the current task, or when the user asks about progress)
qwenpaw agents chat --background --task-id <id>
Method 2: Timed polling (if you must wait)
# Incrementally increasing intervals, fast first then slow
sleep 10 && qwenpaw agents chat --background --task-id <id>
sleep 20 && qwenpaw agents chat --background --task-id <id>
sleep 30 && qwenpaw agents chat --background --task-id <id>
# Wrong: querying too frequently
while true; do
qwenpaw agents chat --background --task-id <id>
sleep 1 # Too frequent!
done
Use -h at any time to view detailed help:
qwenpaw agents -h
qwenpaw agents list -h
qwenpaw agents chat -h
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
阿里云 CLI 中文文档镜像检索与命令辅助:先走章节索引,再下钻正文页面,给出命令前必须有本地文档证据。
日本語の概要は準備中です。原文の説明を表示しています。
用异步 Python 调用 QwenPaw 内置 Browser SDK 驱动真实浏览器。完整参考在下方;上下文压缩后请重新加载此 browser skill。
日本語の概要は準備中です。原文の説明を表示しています。
Drive a live browser with async Python against QwenPaw's builtin Browser SDK. The full reference is below; re-load this browser skill after context compaction.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user explicitly wants to connect to a running Chrome browser, scan local CDP ports, specify a `cdp_port`, or share a single browser across multiple agents/tools. By default browser opens no debugging port; pass an explicit `cdp_port` only when the user wants another local tool to attach.
日本語の概要は準備中です。原文の説明を表示しています。
当用户明确希望连接到已运行的 Chrome 浏览器、扫描本地 CDP 端口、显式指定 `cdp_port`,或让多个 agent / 工具共享同一个浏览器时,使用本 skill。browser 默认不开放调试端口;仅当用户明确希望其他本地工具附加时才显式传入 `cdp_port`。
日本語の概要は準備中です。原文の説明を表示しています。
当用户需要控制 browser 的浏览器启动方式时,使用本 skill。browser 默认由 Playwright 直接管理、不开放调试端口(需让其他本地工具附加时显式传 `cdp_port`);`headed` 控制是否显示窗口,`private_mode` 保留用于兼容、不再改变默认行为,`browser_args` 传入额外的 Chromium 启动参数,`executable_path` 指定自定义浏览器可执行文件路径。
日本語の概要は準備中です。原文の説明を表示しています。