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alfworld-receptacle-searcher

@zjunlp · 收录于 5 天前 · 上游提交 2 周前

This skill searches for a specific receptacle (e.g., garbage can, cabinet) by systematically exploring the environment, checking multiple locations until found. Trigger when the target receptacle is not initially visible, often after scanning nearby areas. It outputs the receptacle's location and may involve navigating through multiple waypoints.

适合你,如果需要在模拟环境中寻找隐藏的容器

/ 通过 npx 安装 校验哈希
npx oh-my-skill add zjunlp/skillnet/alfworld-receptacle-searcher
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- zjunlp/skillnet/alfworld-receptacle-searcher
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify zjunlp/skillnet/alfworld-receptacle-searcher
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 7bb9a48 · 表述以原文为准
它做什么

当需要寻找一个不在视野内的指定容器(如垃圾桶、柜子)时,Claude 会系统性地探索环境,依次检查多个可能的位置,直到找到该容器。找到后,它会告诉你容器的位置和状态(如“在 garbagecan 1 上,你什么也没看到”)。

什么时候触发

当你要找的容器(例如 garbagecan 1)在当前观察中没有出现,并且在快速查看附近常见位置(如台面、桌子)后仍未发现时,就会触发搜索。

装好后可以这样说
Claude 会开始系统搜索直到找到。
Claude 会去检查 cabinet 3 的位置。
Claude 会遍历可能位置直至找到。
技能原文 SKILL.md作者撰写 · MIT · 7bb9a48

Instructions

When to Use

Use this skill when you need to locate a specific receptacle (e.g., garbagecan 1, cabinet 3) that is not immediately visible in your current observation. The skill is triggered after an initial scan of nearby areas fails to reveal the target.

Core Procedure
  1. Identify Target: Confirm the exact name of the receptacle you need to find (e.g., from the task: "put a cool lettuce in garbagecan" -> target is garbagecan 1).
  2. Initial Check: Quickly examine the most common or nearby receptacles mentioned in the initial observation (e.g., countertops, tables, open cabinets).
  3. Systematic Search: If not found, begin a systematic exploration:
  4. Use the go to {recep} action to navigate to candidate locations.
  5. Prioritize receptacles that are typically in the environment (cabinets, countertops, tables).
  6. If a candidate is closed (e.g., "The cabinet 2 is closed."), you may skip opening it unless the target could logically be inside. The trajectory shows that the target receptacle (garbagecan 1) was not inside any closed cabinet.
  7. Persistence: Continue the search until the target is found. The trajectory demonstrates checking 20 cabinets before finally locating the garbage can.
  8. Output: Once found, note the receptacle's location and state (e.g., "On the garbagecan 1, you see nothing."). You are now ready to use this receptacle for the next task action (e.g., put lettuce 1 in/on garbagecan 1).
Key Notes
  • Efficiency: The search pattern in the trajectory was exhaustive (checking all cabinets 1-20). In practice, you might infer likely locations based on receptacle type (e.g., a garbage can is often standalone, not inside a cabinet).
  • Error Handling: If an action returns "Nothing happened", the receptacle may not be accessible or may require a different approach (e.g., opening first).
  • Integration: This skill outputs the found receptacle's identifier. It does not perform the final task action (e.g., putting an item in the receptacle); that is handled by the main task orchestration.
Example from Trajectory

Goal: Find garbagecan 1. Process:

  1. Checked countertop 1, diningtable 1, diningtable 2 (not found).
  2. Systematically went to cabinet 1 through cabinet 20 (all closed, not found).
  3. Finally went directly to garbagecan 1 (found).

Output: Location of garbagecan 1 confirmed.

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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