aqwa-batch-execution-license-architecture

Sub-skill of aqwa-batch-execution: License Architecture (+3).

5 stars

Best use case

aqwa-batch-execution-license-architecture is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of aqwa-batch-execution: License Architecture (+3).

Teams using aqwa-batch-execution-license-architecture should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/license-architecture/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/engineering/marine-offshore/aqwa/batch-execution/license-architecture/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/license-architecture/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How aqwa-batch-execution-license-architecture Compares

Feature / Agentaqwa-batch-execution-license-architectureStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of aqwa-batch-execution: License Architecture (+3).

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# License Architecture (+3)

## License Architecture


- Base solver (`ansys` feature): **4 cores free** with Mechanical Enterprise licence
- Beyond 4 cores: requires HPC Pack (`aa_r_hpc`) or Ansys HPC licence
- AQWA uses **OpenMP (shared-memory only)** — all cores must be on a single node
- MPI / multi-node is not supported


## Environment Variables


```bash
export ANSYSLMD_LICENSE_FILE=1055@license-server.domain.com
export ANSYSLI_SERVERS=2325@license-server.domain.com
export OMP_NUM_THREADS=8     # Must match NUM_CORES in Deck 0 (or WB setting)
ulimit -s unlimited          # Required for large models
```


## SLURM Job Script — Standalone


```bash
#!/usr/bin/env bash
#SBATCH --job-name=aqwa_line
#SBATCH --partition=compute
#SBATCH --nodes=1                 # AQWA is SMP — single node only
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=8
#SBATCH --mem=32G
#SBATCH --time=04:00:00
#SBATCH --output=aqwa_%j.out
#SBATCH --error=aqwa_%j.err

module load ansys/v251           # Module name is site-specific

export ANSYSLMD_LICENSE_FILE=1055@license-server
export ANSYSLI_SERVERS=2325@license-server
export OMP_NUM_THREADS=${SLURM_CPUS_PER_TASK}

AQWA_EXE=/ansys_inc/v251/aqwa/bin/lnx64/Aqwa
WORK_DIR=/scratch/${USER}/${SLURM_JOB_ID}
mkdir -p ${WORK_DIR}
cp analysis.dat ${WORK_DIR}/
cd ${WORK_DIR}

${AQWA_EXE} std analysis

if [ -f analysis.res ]; then
    echo "SUCCESS"
    cp analysis.lis analysis.res analysis.plt analysis.ah1 ${SLURM_SUBMIT_DIR}/
else
    echo "FAILED — check analysis.mes:"
    cat analysis.mes
    exit 1
fi
```


## SLURM Job Script — Workbench (runwb2)


```bash
#!/usr/bin/env bash
#SBATCH --job-name=aqwa_wb
#SBATCH --nodes=1
#SBATCH --cpus-per-task=8
#SBATCH --mem=32G
#SBATCH --time=08:00:00

module load ansys/v251

export ANSYSLMD_LICENSE_FILE=1055@license-server
export ANSYSLI_SERVERS=2325@license-server

RUNWB2=/ansys_inc/v251/Framework/bin/Linux64/runwb2

${RUNWB2} -B \
    -F "/path/to/project.wbpj" \
    -R "/path/to/solve.wbjn"
exit $?
```

Minimal `solve.wbjn` (IronPython 2.7):

```python
SetScriptVersion(Version="0.1.0")
Open(FilePath=r"/path/to/project.wbpj")
system1 = GetSystem(Name="AQW")      # Name set by user in WB project
system1.Update(AllDependencies=True)
Save(Overwrite=True)
```

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