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chat_with_agent

Use built-in tools to ask another agent for advice, a plan, or a review. Choose from available agents, preserve context across follow-up conversations, and send longer tasks to the background with status checks and configurable time limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Use this skill when you need to consult another agent, ask for help, or involve a specific agent the user asked for.

설치 방법 보기

이럴 때 유용합니다

  • Ask another agent to propose a plan
  • Request a review or help with a decision
  • Continue a consultation with its previous context
  • Submit a long task with a specified time limit

포함된 파일(1)

  • SKILL.md5.3 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Chat with Agent

When to Use

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.

Should Use

  • You need another agent's expertise, judgment, or second opinion
  • You need to request a plan, review, or recommendation from an agent
  • The user explicitly asks a specific agent to participate, assist, or answer
  • You need to continue an existing agent session while preserving context

Should Not Use

  • You can complete the task yourself and the user has not explicitly asked to involve another agent
  • It is a simple Q&A that does not require a specialized agent
  • The target agent is unclear — you should ask for clarification or list available agents first
  • You just received a message from an agent and are about to immediately call back the same agent, which may cause a loop

Decision Rules

  1. If the user explicitly requests a specific agent, follow that request — but still look up the agent first; do not guess the ID
  2. If you can complete the task yourself, do not call another agent
  3. When continuing a conversation, you must pass session_id
  4. By default, prefer using list_agents() and chat_with_agent(...) for foreground conversations — do not resort to other methods
  5. If the task should run in the background, use submit_to_agent(...) to submit it, then check_agent_task(...) to check the status

Usage Flow

Follow this flow strictly when using this skill:

  1. Ensure your tool list includes both list_agents() and chat_with_agent(...) built-in tools
  • These two tools are the foundation for communicating with other agents — do not remove or disable them
  • If you do not have these tools, inform the user that you need them to talk to other agents, and ask the user to add them
  1. Use list_agents() to view the currently available agents, and select one by extracting its ID
  • Choose the most appropriate agent based on the user's needs and each agent's description
  • If no suitable agent is found and you are not the Default Agent, use the Default Agent
  • Otherwise, inform the user that no suitable agent is available, and suggest they create a new agent or adjust existing agent descriptions for better matching
  1. Call chat_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 agent
  • session_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 continuity
  • timeout: (optional) estimated time needed for the foreground wait, to avoid premature timeouts
  1. If the task is better suited for background execution, use the background tool path:
  • submit_to_agent(...): submit a background task — requires to_agent, text, and optionally session_id / task_timeout
    • Default execution budget is 3600 seconds (1 hour) when task_timeout is omitted
    • For work that may exceed 1 hour, pass an explicit positive task_timeout in seconds
    • Numeric strings such as "7200" are accepted
  • check_agent_task(...): check task status by task_id; returns the final result when complete
    • On timeout the task finishes as failed with an error like Task timed out after Ns (and code=timeout in the API payload)

Minimal Call Examples

New Conversation

list_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.",
)

Continuing an Existing Conversation

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>",
)

Background Submission and Status Check

submit_to_agent(
  to_agent="<target_agent_id>",
  text="[Agent <your_agent_id> requesting] Please complete this longer task in the background.",
  task_timeout=7200,
)

check_agent_task(
  task_id="<task_id>",
)

Important Notes

  • Add a conversation identifier: it is recommended to start your message with:
[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.

리뷰

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