Agent Skills › zjunlp/SkillNet › scienceworld-target-identifier

scienceworld-target-identifier

GitHub

用于在ScienceWorld环境中解析房间观察结果,根据目标描述筛选并排序匹配对象,为智能体提供候选物品列表及行动建议。

experiments/src/skills/scienceworld/scienceworld-target-identifier/SKILL.md zjunlp/SkillNet

Trigger Scenarios

执行look around后需要定位特定类型物品时 任务要求寻找符合特定类别(如生物、容器)的对象时

Install

npx skills add zjunlp/SkillNet --skill scienceworld-target-identifier -g -y
More Options

Non-standard path

npx skills add https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-target-identifier -g -y

Use without installing

npx skills use zjunlp/SkillNet@scienceworld-target-identifier

指定 Agent (Claude Code)

npx skills add zjunlp/SkillNet --skill scienceworld-target-identifier -a claude-code -g -y

安装 repo 全部 skill

npx skills add zjunlp/SkillNet --all -g -y

预览 repo 内 skill

npx skills add zjunlp/SkillNet --list

SKILL.md

Frontmatter
{
    "name": "scienceworld-target-identifier",
    "description": "Analyzes room observations to identify objects matching a given target description (e.g., 'living thing'). Triggered after exploring a room when the agent needs to locate a specific type of item. Processes the observation list, filters objects based on target criteria, and returns candidate objects for further action."
}

Skill: Target Object Identifier

Purpose

This skill enables you to systematically locate objects in the ScienceWorld environment that match a specific target description (e.g., "living thing", "container", "electrical device"). It transforms the raw observation text from look around into a structured list of candidate objects for your current task.

When to Use

  1. Trigger Condition: Immediately after executing look around in any room.
  2. Input Required: The full observation text from look around AND the target description from your task.
  3. Output: A prioritized list of matching objects with their locations and properties.

Execution Workflow

Step 1: Parse Observation

Extract all observable items from the room description. Pay special attention to:

  • Objects listed after "Here you see:"
  • Objects in containers (marked with "containing" or "On the X is:")
  • Substances (marked as "a substance called")
  • Living vs. non-living distinctions

Step 2: Apply Target Filter

Use the bundled classification script to filter objects based on the target description:

  • For "living thing": Include animals, plants, eggs, and biological organisms
  • For specific categories: Match against known object taxonomies
  • For generic descriptions: Use semantic similarity matching

Step 3: Prioritize Candidates

Rank candidates by:

  1. Accessibility: Objects not in closed containers first
  2. Proximity: Objects in current room before other locations
  3. Task Relevance: Objects matching secondary task criteria (e.g., "easy to transport")

Step 4: Generate Action Plan

For each high-priority candidate:

  1. Note its exact name as it appears in observations
  2. Determine if pick up, focus on, or other preliminary action is needed
  3. Plan path to target location if specified in task

Key Considerations

  • Exact Object Names: Use the exact phrasing from observations (e.g., "turtle egg" not "egg turtle")
  • Container States: All containers are open per environment rules
  • Teleportation: You can instantly move between rooms when searching
  • Multiple Matches: If multiple objects match, select based on task context (e.g., choose less mobile items for transport tasks)

Error Handling

  • If no matches found: Teleport to another room and repeat
  • If ambiguous matches: Use examine OBJ for clarification
  • If classification uncertain: Check reference taxonomy in bundled resources

Example Application

Task: "Find a living thing and move it to the blue box in bathroom"

  1. look around in current room
  2. Run this skill with target="living thing"
  3. Receive list: ["baby wolf", "turtle egg", "crocodile egg"]
  4. Select "turtle egg" (easier to transport)
  5. focus on turtle egg → pick up turtle egg → teleport to bathroom → move turtle egg to blue box

Version History

  • 7bb9a48 Current 2026-07-25 11:54

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Metadata

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Version
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Hash
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Indexed
2026-07-25 11:54

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