Fetch an ordered, executable plan with checkpoints from a stronger agent.
npx skills add https://github.com/mrwyx12369/TeamPaw --skill make-plan-mrwyx12369
Please help me install this Agent Skill. Skill: make_plan Source: https://github.com/mrwyx12369/TeamPaw/tree/main/src/teampaw/agents/skills/make_plan-zh Command: npx skills add https://github.com/mrwyx12369/TeamPaw --skill make-plan-mrwyx12369
The Skill helps you obtain a concrete, executable plan from a stronger agent to guide your actions, ensuring you remain in control of execution.
Describe your task and request a concrete, multi-step plan from a stronger agent, then follow the returned steps yourself.
High-intent search queries and answers about installing and using this skill.
You can request a concrete, ordered task decomposition plan from a stronger external agent. The planner provides structured steps and checkpoints, while you retain full control to execute the multi-step plan yourself with preserved context.
External agent planning delegates the strategy breakdown to a more capable agent, returning executable steps and checkpoints. It is needed when multi-step tasks require clear, ordered phases and structured alignment across project modules before execution begins.
Describe your complex project task and request a concrete, multi-step plan from the stronger agent. The planner extracts truly executable steps and checkpoints, which you then follow to carry out the task yourself while preserving context.
You execute the plan yourself. The external planner only provides structured steps and checkpoints to guide your action, enforcing that the user remains in control of execution while the stronger agent handles the strategy decomposition.
Yes, it applies to breaking down complex projects into steps and ensuring alignment across modules. The fetched plan provides ordered, actionable steps and checkpoints to coordinate multi-step execution across different project components.
The best way is to request plan refinement from a stronger external agent. It enforces the extraction of truly executable steps and checkpoints from abstract guidance, returning a concrete plan that you can directly action for multi-step tasks.
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