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agentscope-ai/QwenPaw/src/qwenpaw/agents/skills/make_plan-en/SKILL.md

make_plan

For external plan request scenarios, guides the Agent to request a clear, actionable, step-by-step plan from a stronger Agent via list_agents and chat_with_agent, emphasizing that the plan is executed by the requester, not by the consulted Agent.

Source repository stars
33,124
Declared platforms
0
Static risk flags
0
Last source update
2026-08-05
Source checked
2026-08-05

Decision brief

What it does—and where it fits

Use this Skill when you need to make an external plan request to a stronger Agent.

Best for

    Not for

    • Tasks that require unconfirmed production actions or broad system permissions.
    • Environments where the pinned source and install steps cannot be inspected.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/agentscope-ai/QwenPaw --skill "src/qwenpaw/agents/skills/make_plan-en"
    Safe inspection promptEditorial

    Inspect the Agent Skill "make_plan" from https://github.com/agentscope-ai/QwenPaw/blob/2f34db2d7852f292e082953005e0b13b03fee3e3/src/qwenpaw/agents/skills/make_plan-en/SKILL.md at commit 2f34db2d7852f292e082953005e0b13b03fee3e3. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      Core Rules

      This Skill handles one thing only: 1. Find a stronger Agent 2. Request that Agent to output an execution plan 3. Require the plan to be step-by-step, actionable, and in sequential order 4. You execute the plan yourself rather than asking the other Agent to do it for you

      Find a stronger AgentRequest that Agent to output an execution planRequire the plan to be step-by-step, actionable, and in sequential order
    2. 02

      Applicable Scenarios

      The following scenarios are suitable for making an external plan request: - The task requires multi-step decomposition - Steps have dependencies between them - A clear sequence, checkpoints, or verification points are needed - Multiple modules, files, systems, or roles are invol…

      The task requires multi-step decompositionSteps have dependencies between themA clear sequence, checkpoints, or verification points are needed
    3. 03

      Do Not Use This Way

      Do not use this Skill in the following situations: - You actually want the other Agent to do the task for you - What you really lack is a small piece of factual information, not a plan - What you truly need is an architectural judgment or solution comparison - You have not yet c…

      You actually want the other Agent to do the task for youWhat you really lack is a small piece of factual information, not a planWhat you truly need is an architectural judgment or solution comparison
    4. 04

      What to Ask the Stronger Agent For

      When calling chatwithagent(...), clearly state: - You need a plan, not execution - Steps must be concrete, not just abstract advice - Preferably include verification methods and completion criteria

      You need a plan, not executionSteps must be concrete, not just abstract advicePreferably include verification methods and completion criteria
    5. 05

      Tool Invocation Rules

      Execute in this order by default: 1. Call listagents() to confirm available stronger Agents 2. Select the most suitable target Agent for creating the plan 3. Call chatwithagent(...) to request the generation of an execution plan 4. After receiving the plan, execute it yourself -…

      Call listagents() to confirm available stronger AgentsSelect the most suitable target Agent for creating the planCall chatwithagent(...) to request the generation of an execution plan

    Permission review

    Static risk signals and limitations

    No configured static risk pattern was detected

    This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score85/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars33,124SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    agentscope-ai/QwenPaw
    Skill path
    src/qwenpaw/agents/skills/make_plan-en/SKILL.md
    Commit
    2f34db2d7852f292e082953005e0b13b03fee3e3
    License
    Apache-2.0
    Collected
    2026-08-05
    Default branch
    main
    View the original SKILL.md

    Make Plan

    Use this Skill when you need to make an external plan request to a stronger Agent.

    The goal of this Skill is not to outsource a task, but rather to:

    • Request a plan from a stronger Agent
    • The plan must consist of clear, actionable steps
    • You execute the plan yourself
    • Do not ask the consulted Agent to execute the task directly

    How to invoke:

    • Use list_agents() to check available Agents
    • Use chat_with_agent(...) to request the stronger Agent to "make a plan"
    • In text, explicitly include the prompt: only provide a step-by-step executable plan, do not execute
    • To supplement or refine the original plan in a follow-up, pass session_id

    Recommended invocation skeleton:

    list_agents()
    
    chat_with_agent(
      to_agent="<stronger_agent>",
      text="[Agent <auto> requesting] Please help me create an execution plan for the following task. You do not need to execute the task -- just output clear, actionable steps in order.",
    )
    

    Core Rules

    This Skill handles one thing only:

    1. Find a stronger Agent
    2. Request that Agent to output an execution plan
    3. Require the plan to be step-by-step, actionable, and in sequential order
    4. You execute the plan yourself rather than asking the other Agent to do it for you

    If what you truly need is a "plan", use this Skill. If what you need is a final answer, architectural judgment, review conclusion, or direct execution, do not misuse this Skill.

    Applicable Scenarios

    The following scenarios are suitable for making an external plan request:

    • The task requires multi-step decomposition
    • Steps have dependencies between them
    • A clear sequence, checkpoints, or verification points are needed
    • Multiple modules, files, systems, or roles are involved
    • The user explicitly requests a plan before execution
    • You want to obtain a more complete and reliable execution path first

    Do Not Use This Way

    Do not use this Skill in the following situations:

    • You actually want the other Agent to do the task for you
    • What you really lack is a small piece of factual information, not a plan
    • What you truly need is an architectural judgment or solution comparison
    • You have not yet clearly understood the task objective

    What to Ask the Stronger Agent For

    When calling chat_with_agent(...), clearly state:

    • You need a plan, not execution
    • Steps must be concrete, not just abstract advice
    • Preferably include verification methods and completion criteria

    Tool Invocation Rules

    Execute in this order by default:

    1. Call list_agents() to confirm available stronger Agents
    2. Select the most suitable target Agent for creating the plan
    3. Call chat_with_agent(...) to request the generation of an execution plan
    4. After receiving the plan, execute it yourself -- do not continue outsourcing the task to the other Agent

    When requesting the plan, explicitly state:

    • Only the plan is needed, not execution
    • Steps must be specific, not general advice
    • Clearly request sequence, dependencies, checkpoints, and verification methods when needed

    Common parameters for chat_with_agent:

    • to_agent: Target Agent ID
    • text: Request content; must explicitly state "only output the plan, do not execute the task"
    • session_id: Optional; pass this to continue an existing conversation

    Notes:

    • base_url generally does not need to be provided; the tool will automatically resolve the current API address
    • Not passing session_id will automatically create a new session

    Request Template

    Please help me create an execution plan for the following task. You do not need to execute the task itself -- just output the plan.

    Task: [What needs to be done]

    Goal: [What the final outcome should be]

    Constraints:

    • [...]
    • [...]

    Plan requirements:

    1. Break it down into clear, executable steps
    2. Indicate the recommended order
    3. Point out dependencies, checkpoints, or verification methods where necessary
    4. If there are obvious risks, include key points to watch out for

    Output format: [e.g., Output 5-8 numbered steps, 1-3 sentences each]

    Example:

    chat_with_agent(
      to_agent="strong_reasoner",
      text="""
    Please help me create an execution plan for the following task.
    You do not need to execute the task itself -- just output the plan.
    
    Task:
    Modify a multi-module feature.
    
    Goal:
    Complete the change with low risk and avoid missing integration points.
    
    Constraints:
    - Minimize rework
    - Include verifiable intermediate checkpoints
    
    Plan requirements:
    1. Break it down into actionable steps
    2. Indicate the recommended order
    3. Mark key dependencies and checkpoints
    4. Include verification methods where possible
    
    Output format:
    Please output 3-5 numbered steps, each as specific as possible.
    """,
    )
    

    For follow-up conversations:

    chat_with_agent(
      to_agent="strong_reasoner",
      text="Based on the previous plan, please further refine the checkpoints for steps 3 and 4. Still only provide the plan -- do not execute the task.",
      session_id="<previous_session_id>",
    )
    

    What to Do After Receiving the Plan

    Treat the stronger Agent's reply as "execution plan input", not as "the task is already done".

    What you should do:

    1. Distill the truly executable steps
    2. Determine whether adjustments are needed for your environment
    3. Execute the steps yourself
    4. If new uncertainties arise, continue refining the plan

    Do not deliver the plan as-is to the user as a final result, unless the user specifically asked for the plan itself.

    Plan Quality Standards

    A qualified plan should at least meet the following criteria:

    • Has clear steps, not vague advice
    • Step order is clear
    • Each step is an executable action
    • Key dependencies are identified
    • Necessary verification points are included
    • Does not secretly delegate "task execution" to the consulted Agent

    If what you receive is vague advice such as "first analyze, then implement, then test", it is not sufficient -- follow up to request refinement.

    Behavioral Guardrails

    • Do not turn "please help me plan" into "please do the whole thing for me"
    • Do not request the other Agent to execute code, commands, or changes on your behalf
    • Do not accept answers that only provide direction without steps
    • Do not request a plan when the task objective is not yet clear
    • Do not stop thinking after receiving the plan -- still evaluate it against your current environment

    Final Principle

    When you lack an execution path, request a plan first. The plan must be step-by-step, specific, and actionable. The consulted Agent is responsible for producing the plan, not for executing it. After receiving the plan, the requester executes it themselves.