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Dépôt GitHub

dsagt

dsagt contient 5 skills collectées depuis AI-ModCon, avec une couverture métier par dépôt et des pages de détail sur le site.

skills collectés
5
Stars
6
mis à jour
2026-07-08
Forks
1
Couverture métier
3 catégories métier · 100% classifié
explorateur de dépôts

Skills dans ce dépôt

scan-directory
Développeurs de logiciels

Scan a data directory and produce structured report with file counts, sizes, and directory tree

2026-07-08
skill-creator
Autres occupations informatiques

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.

2026-07-08
vasp-to-isaac
Développeurs de logiciels

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.

2026-07-08
m3dc1-skill
Développeurs de logiciels

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.

2026-07-08
xgc-ai-training
Scientifiques des données

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.

2026-06-26