FermiLink

Guide users through setting up and running scientific simulations with FermiLink after `pip install fermilink` and `fermilink init`. Covers package installation, provider setup, execution modes, HPC configuration, and workflow selection.

Generate a Sphinx-ready report bundle (plots, RST, contract, per-accepted-commit pages) from a completed `fermilink optimize` workspace. Use when the user asks to visualize, export, or publish optimization results from a `.fermilink-optimize` directory, or wants to prepare material for the Project Optimization website.

Write, review, or strengthen `goal.md` files for `fermilink optimize` across Python, C/C++, and Fortran packages. Use when defining target scope, scientific correctness constraints, representative workloads, build commands, or staged workload-input files for goal mode.

This skill should be used when users need the canonical MaxwellLink workflow, including socket vs embedded coupling, units/time handling, and MPI/HPC invariants.

This skill should be used when users ask to prepare MaxwellLink input files; it scaffolds a new `projects/YYYY-MM-DD-NAME/` folder from copy-ready templates and provides basic validation.

This skill should be used when users ask to bootstrap or regenerate a `skills/` folder for a scientific software package (for example LAMMPS, PSI4, GROMACS, Q-Chem docs-only, MEEP, or similar) from docs/source/tests/tutorial layouts, with documentation-first routing and an abstract skill count capped around 30.

This skill should be used when users need to run MaxwellLink in SLURM/HPC environments, including dependent job patterns and robust socket host/port handoff.

This skill should be used when users ask how to set up, choose, or run a MaxwellLink simulation and the correct solver/driver/HPC/post-processing workflow must be selected.

This skill should be used when users need the MaxwellLink single-mode cavity solver for fast prototyping and regression, in either socket or embedded mode.