skills/skill-collections/alfworld/alfworld-object-storer/SKILL.md
Use when the agent is holding an object and needs to place it into a target receptacle in ALFWorld. This skill checks receptacle suitability, opens closed containers if needed, and executes the `put` command to store the object. It handles both open surfaces (countertops, beds) and closed containers (drawers, cabinets).
npx skillsauth add zjunlp/Skills alfworld-object-storerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Trigger this skill when:
{object_name} (check inventory){target_receptacle}go to {target_receptacle}Evaluate the receptacle before placing:
| Receptacle State | Action |
|-----------------|--------|
| Open and empty/suitable | Proceed with put |
| Closed (drawer, cabinet, safe) | open {target_receptacle} first, then put |
| Unsuitable (wrong type, full) | Abort and search for alternative receptacle |
put {object_name} in/on {target_receptacle}Task: "Clean the knife and put it in a drawer."
> go to drawer 1
The drawer 1 is closed.
> open drawer 1
You open the drawer 1. The drawer 1 is open. In it, you see nothing.
> put knife 1 in/on drawer 1
You put the knife 1 in/on the drawer 1.
Result: knife 1 is now stored in drawer 1. Task complete.
Example 2 — Open surface:
> go to bed 1
On the bed 1, you see a pillow 1.
> put cellphone 2 in/on bed 1
You put the cellphone 2 in/on the bed 1.
inventory and re-check the receptacle identifier.go to {target_receptacle} before attempting put.development
Expert AWS solution architecture for startups focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices and infrastructure-as-code
tools
AWS development with infrastructure automation and cloud architecture patterns
development
Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization.
development
Terraform infrastructure specialist for Vertex AI ADK Agent Engine production deployments. Provisions Agent Engine runtime, Code Execution Sandbox, Memory Bank, VPC-SC, IAM, and secure multi-agent infrastructure. Triggers: "deploy adk terraform", "agent engine infrastructure", "adk production deployment", "vpc-sc agent engine"