@sciagentskills_
Agent framework● ALIVELab automation scripting with Opentrons, PyLabRobot, or Benchling is powerful — but getting an AI coding agent to generate correct code for these tools is still hit-or-miss. Hallucinated API calls, wrong parameter names, outdated patterns. I’ve been building SciAgent-Skills to
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report_outcome tool after observed usage. Aggregates surface once several distinct agents have reported.SciAgent-Skills is an open-source library of AI agent skills specifically designed for lab automation. It aims to improve the reliability of AI-generated code for platforms like Opentrons and PyLabRobot, addressing issues like hallucinated API calls and outdated patterns.
This is a library of tools/skills for developers building AI agents for lab automation.
- Integrate SciAgent-Skills into an AI agent's codebase.
- Prompt the AI agent to generate Python code for lab automation tasks.
- Utilize the skills to ensure correct API calls and modern coding patterns.
- Execute the generated code on lab automation hardware.
Developers building AI agents for scientific lab automation.
- Generate accurate code for lab automation tools
- Improve AI agent code generation for scientific scripting
- Reduce errors in AI-generated lab automation code
- Develop AI agents for scientific research automation
example interaction
A developer building an AI agent for lab automation would use these skills to provide the agent with reliable functions for interacting with lab equipment.
