dsagt
dsagt contains 5 collected skills from AI-ModCon, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Scan a data directory and produce structured report with file counts, sizes, and directory tree
Author a new agent Skill (a SKILL.md directory in the open Agent Skills format) from the Anthropic template. Use when the user wants to create a skill, scaffold a SKILL.md, package a repeatable workflow as a reusable skill, turn instructions into a skill, or capture a procedure so the agent can auto-invoke it later. Produces a valid SKILL.md (name + description frontmatter, optional scripts/ and references/) and saves it into the project's skills directory.
Convert VASP DFT calculations (slab or bulk) to ISAAC AI-ready records (v1.05). Handles IrOx surface slabs and ternary oxide bulk DOS calculations on NERSC Perlmutter.
Use this skill when working with the python modules `m3dc1_tools.py`, `m3dc1_plots.py`, `hdf5.py` and the codes created from the functions within. Triggers when working with M3D-C1 simulation data or repackaging general HDF5 files.
Convert XGC plasma turbulence simulation data (ADIOS2 BP5 format) into GNN-ready npz files and a PyTorch Dataset for AI/surrogate model training. Use when the user asks to preprocess XGC data, create training datasets from XGC simulations, or prepare fusion simulation data for machine learning.