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lingxling/scientific-agent-skills

v2.72.0MIT

Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

waypoint-bio

Supports work with Outpost Bio's open microbiome foundation models - the Waypoint checkpoints (Waypoint-6m, Waypoint-45m, Waypoint-170m), the Atlas pretraining corpus, the Compass eight-task benchmark, or the waypoint CLI from the waypoint-bio package. Covers embedding microbiome samples, fine-tuning on taxonomic abundance data, benchmarking a checkpoint on Compass, pretraining a GPT-2 model on taxonomic abundance profiles, and converting MetaPhlAn, Kraken2, QIIME 2, or MGnify abundance tables into waypoint format.

Version
1.3
License
MIT
Compatibility
Requires Python 3.10+ and waypoint-bio; the documented compatibility stack uses Transformers 4.57.6 and PEFT 0.18.1. Network access and approved Hugging Face access are needed for Hub downloads, but not for local conversion. Training benefits from a GPU.
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