Individual skill

alfworld-goal-interpreter

Parses the natural language task goal to extract actionable sub-objectives and required objects. Trigger this skill whenever a new task is assigned to break down complex instructions into clear, sequential targets. It interprets phrases like 'look at X under Y' to identify target objects (pillow), reference objects (desklamp), and spatial relationships (under).

experiments/src/skills/alfworld/alfworld-goal-interpreter/SKILL.md

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Last checked: Nov 7, 2026

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Repository stars (not skill ratings): 1,450
Repository last updated: Nov 2, 2026
License: MIT

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ai-agents Repository topic
ai-skills Repository topic
artificial-intelligence Repository topic
knowledge-graph Repository topic
large-language-models Repository topic
natural-language-processing Repository topic
openkg Repository topic
skills Repository topic
skillnet Repository topic
engineering Derived category

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SKILL.mdcore · 2,302 bytes
references/search_patterns.mddoc · 2,060 bytes

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# Goal Interpretation Protocol

## 1. Parse the Task Statement
When a new task is assigned, immediately analyze the natural language instruction to extract its core components. Use the parsing script (`parse_goal.py`) to perform this analysis.

**Input:** The raw task string (e.g., "look at pillow under the desklamp").
**Output:** A structured dictionary containing:
- `primary_target`: The main object to interact with.
- `reference_object`: The object that defines a location or condition.
- `spatial_relation`: The preposition linking them (e.g., under, on, in).
- `action`: The verb defining the required interaction.

## 2. Generate Sub-Objectives
Based on the parsed components, formulate a clear, sequential plan. The plan must account for the spatial relationship.