Browse reusable Agent Skills, each with a clear purpose and practical guidance.
This skill introduces deliberate pauses in task execution. Use when the agent needs to consider next steps, evaluate intermediate results, or wait for processes to complete. The skill uses the 'wait1' or 'wait' actions to temporarily halt activity, preventing rushed decisions in complex experimental procedures.
This skill locates and acquires a recipe or instruction document by using 'pick up' on the recipe object. Use when the task involves following a specific procedure (e.g., crafting, mixing) and the agent needs to obtain the written instructions. The skill assumes the recipe is visible in the current room and moves it to the inventory, allowing the agent to read it later to understand required ingredients and steps.
Performs an initial survey of a room to identify all visible objects, containers, devices, and their states using the 'look around' action. Use this skill when you first enter a new location, need to refresh your understanding of the environment, or must identify available resources before planning a sequence of actions. Returns a detailed observation that serves as foundational context for subsequent tasks.
Teleports the agent to a specified room within the ScienceWorld environment. Use when the agent needs to move between different locations to locate objects or access specific facilities. The input is a target room name, and the output is the agent arriving at that room, ready for further interaction.
This skill performs a 'look around' action to scan and describe the current room's contents, including visible objects, containers, and doors. Use when entering a new room or when the agent needs to locate specific items or assess the environment state. The skill outputs a detailed room description, which is essential for inventory discovery and situational awareness.
This skill determines the most likely location for a target object based on domain knowledge and environmental clues. Use when the agent needs to find a specific item (like an animal) but it is not in the current room. It analyzes the environment description and suggests a room to teleport to for further investigation.
Uses a tool from inventory on a target object or location to perform a specific environmental interaction, such as digging, cutting, or measuring. Use this skill when a task requires modifying the environment or manipulating materials with a tool (e.g., using a shovel to dig soil, a thermometer to measure temperature, or an axe to cut wood). Takes the tool and target as inputs and outputs the result of the interaction.
Focuses on a specific target object to signal task completion. Use when you have produced the required final object (like a grown banana) and need to formally complete the assigned task. This handles the 'focus on OBJ' action that typically marks successful task execution in the environment.
Interprets a user's shopping query to extract key product requirements such as item type, attributes, and constraints. Use when a new shopping instruction is received and you need to parse natural language into structured criteria (product category, desired features, price limits) before performing a search. The output is a clear set of search parameters for use in subsequent product lookup steps.
Performs an initial scan of the ALFWorld environment to identify all visible objects and receptacles. Use when you first enter an environment and need to build a mental map for task planning. Processes raw observation text into a structured list of entities, categorizing them as objects or receptacles.