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chat-with-agent
Use this skill when you need to consult another agent, ask for help, or involve a specific agent the user asked for.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Use this skill when you need to consult another agent, ask for help, or involve a specific agent the user asked for.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Use this skill only for scheduled or recurring tasks. Manage jobs with qwenpaw cron list/create/get/state/update/pause/resume/delete/run, and always pass --agent-id explicitly.
仅在需要未来定时执行或周期执行任务时,使用本 skill。使用 qwenpaw cron list/create/get/state/update/pause/resume/delete/run 管理任务,并始终显式传入 --agent-id。
Use this skill when sedimenting a session into a reusable workspace skill. Triggers when the user wants to turn the current conversation, workflow, or troubleshooting path into a SKILL.md. Phrases like 'turn this into a skill', 'remember how I did X', 'save this workflow', 'make a skill from this', and any /make-skill <focus> invocation should fire this skill.
用于把当前会话沉淀为可复用的 workspace skill。当用户希望把当前对话、工作流或排错路径写成 SKILL.md 时触发。触发表达包括「把这个变成 skill」「记住我是怎么做 X 的」「保存这个工作流」「make a skill from this」以及任何 /make-skill <focus> 调用。
Answer user questions about QwenPaw installation and configuration: first locate and read local documentation, then distill the answer; if local information is insufficient, fall back to the official website documentation.
回答用户关于 QwenPaw 安装与配置的问题:优先定位并阅读本地文档,再提炼答案;若本地信息不足,兜底访问官网文档。
| name | chat_with_agent |
| description | Use this skill when you need to consult another agent, ask for help, or involve a specific agent the user asked for. |
| metadata | {"builtin_skill_version":"1.2","qwenpaw":{"emoji":"💬"}} |
Use this skill when you need to ask another agent a question, seek help, request a plan, request a review, request decision support, or engage in any form of communication. If the user explicitly asks to talk to a specific agent, you should also use this skill.
session_idlist_agents() and chat_with_agent(...) for foreground conversations — do not resort to other methodssubmit_to_agent(...) to submit it, then check_agent_task(...) to check the statusFollow this flow strictly when using this skill:
list_agents() and chat_with_agent(...) built-in toolslist_agents() to view the currently available agents, and select one by extracting its IDchat_with_agent(...) to initiate a foreground conversation. Key parameters include:to_agent: the target agent's ID (note: this is the ID, not the name)text: what you want to say to the target agentsession_id: (optional) if you need multiple rounds of conversation with the same agent, pass the same session_id starting from the second round to maintain context continuitytimeout: (optional) estimated time needed for the foreground wait, to avoid premature timeoutssubmit_to_agent(...): submit a background task — only requires to_agent, text, and optionally session_idcheck_agent_task(...): check task status by task_id; returns the final result when completelist_agents()
chat_with_agent(
to_agent="<target_agent_id>",
text="[Agent <your_agent_id> requesting] I need your help determining the approach for this issue.",
)
chat_with_agent(
to_agent="<target_agent_id>",
text="[Agent <your_agent_id> requesting] Please continue expanding on point 2 based on the previous conclusion.",
session_id="<previous_session_id>",
)
submit_to_agent(
to_agent="<target_agent_id>",
text="[Agent <your_agent_id> requesting] Please complete this longer task in the background.",
)
check_agent_task(
task_id="<task_id>",
)
[Agent <your_agent_id> requesting]
This helps the other agent clearly identify who is speaking, improving communication efficiency and accuracy.
Reuse sessions wisely: if you need multiple rounds of conversation with the same agent, be sure to pass the same session_id to maintain context continuity. Otherwise, each call is treated as a new conversation, and the other agent may not correctly understand your needs. You can obtain the session_id from the first round's response, for example:
[SESSION: xxx]
where xxx is the session_id value. This value is typically system-generated and has a long, unique format. Save this session_id and continue using it in subsequent conversations with the same agent.