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wupeng1998/scientific-agent-skills

v2.66.0MIT

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

waypoint-bio

Use when working 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
1.1
License
MIT
Compatibility
Requires Python 3.10+ with `waypoint-bio` (pulls torch, transformers, datasets, peft, scikit-learn). Needs network access and a Hugging Face token with access granted to the gated outpost-bio repos. A GPU is strongly recommended for pretraining and benchmarking.
Read SKILL.md at the source

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