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embodied-task-decomposition体现任务分解

Agent Skill

embodied-task-decomposition 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,163

周安装

177

GitHub Stars

公开资料未说明

下载量

1,458
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:embodied-task-decomposition(体现任务分解)
来源仓库:https://github.com/nanaoisong/embodied-task-decomposition
安装命令:
openclaw skills install embodied-task-decomposition
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install embodied-task-decomposition

简介

embodied-task-decomposition 将复杂物理任务拆解为原子级子任务,供机器人执行规划。

  • 适用于室内导航、物品抓取或环境交互类应用开发。
  • 需用户提供场景图像和任务描述,输出步骤化操作指令。
  • 分解粒度依赖视觉理解准确性,复杂环境可能需多次迭代优化。
  • 结果为模拟方案,实际部署前应在真实环境测试可行性。

SKILL.md

name
embodied-task-decomposition
description
|

Embodied Task Decomposition

This skill decomposes high-level natural language instructions into atomic subtasks that a robot can execute.

When to Use

  • User provides an image AND a task instruction
  • User asks to "decompose", "break down", or "split" a task
  • User wants step-by-step actions for robot execution

Input Format

  1. Image: Photo of the physical scene (any environment: kitchen, office, outdoor, etc.)
  2. Task Instruction: Natural language description of what to accomplish

Example:

Task Instruction: take toasted bread from bread machine on white table place on plate
Image: [image path or description]

Output Format

Numbered list of subtasks, each following format:

{action} {target} {location/optional prepositional phrase} with {left/right/either} gripper

Process

  1. Analyze the image - Identify objects, surfaces, locations, tools visible
  2. Understand the task - What is the goal? What needs to be moved/ manipulated?
  3. Break into atomic actions - Each subtask = one action from the action bank
  4. Specify gripper - Always indicate left, right or either gripper

Action Bank

Refer to action-bank.md for the complete list of allowed actions. All subtasks MUST use actions from this bank.

Examples

See examples.md for detailed decomposition examples across different domains.

Important Notes

  • Use ONLY actions from the action bank
  • Each subtask = one primary action
  • Always specify gripper (left/right/either)
  • Include target object and location
  • Keep subtasks atomic and sequential
  • Consider object state changes (e.g., "open bag" before "take fruit")

Updating the Action Bank

The agent MAY add new actions to the action bank when needed. To add a new action:

  1. Check for duplicates - Search existing actions for similar functionality
  2. Verify functional difference - New action must serve a distinct purpose
  3. Add with documentation - Include description and example usage

Duplicate Check Criteria

A new action is considered a duplicate if it:

  • Has the same name as an existing action
  • Describes the same physical movement (e.g., "lift" vs "raise")
  • Can be used interchangeably with an existing action in all contexts

Adding a New Action

When adding to action-bank.md, follow this format:

| action_name | Description | Example Usage |
|-------------|-------------|---------------|
| new_action | What it does | "new_action the object"

Example of adding "insert" (different from "place" - "place" = put on surface, "insert" = put into container):

| insert | Put object inside a container or slot | "insert the key into the lock"

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.3%
按下载量换算1,389

安全审计

VirusTotal

通过

ClawScan

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Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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