run-gauss · v0.1.0 · 2026-03-21 · sha256 bb9f68b8e2d30a88
run-gauss v0.1.0A
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--- name: run-gauss description: > Acts as a knowledge base providing environment checklists, directory/scratch management, and bash command templates. USE WHEN you need to guide the execution of Gaussian computational chemistry jobs (.gjf) on local or remote/HPC environments. metadata: author: light-cyan version: 0.1.0 --- ## Ask the user for these details - Run location: `<local>` or `<remote/HPC>` (and scheduler if any) - Environment setup: `<env_setup_cmds>` (e.g. module load / source script) - Gaussian executable: `<gaussian_exec>` (e.g. `g16`, `g09`, or absolute path) - Working directory: - local prep dir: `<local_work_dir>` (if applicable) - remote run dir: `<remote_work_dir>` (if applicable) - per-task dir: `<task_work_dir>` - Files: - input: `<input.gjf>` - Gaussian output: `<gaussian_log>` - wrapper stdout/stderr (if needed): `<stdout_log>`, `<stderr_log>` - Scratch: - `GAUSS_SCRDIR=<scratch_dir>` (e.g. `./scratch`, `$TMPDIR`, or site-provided scratch) - whether to clean scratch after the run ## Command template ```bash <env_setup_cmds> export GAUSS_SCRDIR=<scratch_dir> mkdir -p "$GAUSS_SCRDIR" <gaussian_exec> < <input.gjf> > <gaussian_log> rm -rf "$GAUSS_SCRDIR" ``` ## Generate / assemble `.gjf` (when there is not an existing one) Use **gjf-flux** to extract/assemble `.gjf` sections and build workflows. Find the extract/assemble skill: `gjf-flux` ## Submit via dpdispatcher (recommended) Recommend using dpdispatcher to submit Gaussian calculations. Find the submission skill: `dpdisp-submit`