Browse published AI skills maintained by edwnh. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
6Repository stars across indexed skills
96Repository forks
30Average repository stars per indexed skill
16Repository stars may repeat across skills from the same repository.
Set up systematic DQMC parameter studies across temperature, interaction strength U, or chemical potential mu. Use when doing temperature sweeps, phase diagram calculations, or any grid of simulations.
Extract physical observables with error estimates from completed DQMC simulations. Use when computing density, double occupancy, spin correlations, structure factors, or any measured quantity from simulation da...
Create HDF5 simulation files for DQMC with specified physical parameters. Use when setting up new simulations, specifying lattice size, interaction strength U, chemical potential mu, temperature (via dt and L),...
Execute DQMC Monte Carlo sweeps on HDF5 simulation files. Use when running simulations, checkpointing long runs, using the queue system for multiple files, or checking simulation status.
Advanced DQMC features including unequal-time measurements, analytic continuation, and queue system internals. Use when enabling dynamical correlations, performing MaxEnt continuation, or understanding HDF5 dat...
Workflow for modifying DQMC C code, adding new measurements, and running tests. Use when editing source code, implementing new observables, debugging, or validating code changes.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.