sciencepal

What problem does it solve?

This Skill eliminates the manual overhead of launching, tracking, and managing AI-powered science research agent tasks across staging and production environments, letting researchers focus on interpreting results instead of coordinating workflow steps.

Core Features & Use Cases

• Cross-Environment Agent Management: Start, follow up, list, check status, and stop SciencePal research agent runs for biology, materials science, protein structural biology, plasma physics, and patent analysis tasks.
• Sandbox File Handling: Browse, upload, download, and delete files in agent compute sandboxes to access input data, intermediate results, and final deliverables.
• Domain-Specific Guidance: Includes tailored prompt engineering tips and error recovery steps for common science research workflows to improve result quality and reduce failed runs. Use Case: A protein researcher can start a structural analysis task for a specific PDB ID, monitor its progress as it runs, then download the generated report and supporting data files once the task completes.

Quick Start

Use the sciencepal skill to start a new materials science analysis task to calculate the band gap of Li2FePO4 and download the results when it finishes.