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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.

pufferlib

Version-aware guidance for PufferLib reinforcement-learning environments, vectorization, policies, PuffeRL training, evaluation, and safe checkpoint review. Covers the native 5.0 build and environment API, published 3.0.0 Gymnasium/PettingZoo adaptation, and a pinned historical 4.0 profile.

Version
1.4
License
MIT
Compatibility
Bundled CLIs require Python 3.10+ (standard library only). PufferLib 5.0 requires a native C/CUDA toolchain; CPU builds support evaluation, not training. PyPI 3.0.0 declares Python >=3.9 and needs a native source build with NumPy <2 and Gymnasium <=0.29.1. Native dependencies and network access are needed for installation; bundled checks require neither.
Read SKILL.md at the source

Pinned to revision 68105dd992f1, so it is the text this page describes rather than whatever the author pushed since.

Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

  • Read
  • Bash
  • Grep
  • Python

Files

Every link opens the file at its source, pinned to the revision this page describes.