gmsh-openfoam-orcaflex-agent-usage-pattern

Sub-skill of gmsh-openfoam-orcaflex: Agent Usage Pattern.

5 stars

Best use case

gmsh-openfoam-orcaflex-agent-usage-pattern is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of gmsh-openfoam-orcaflex: Agent Usage Pattern.

Teams using gmsh-openfoam-orcaflex-agent-usage-pattern 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/agent-usage-pattern/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/engineering/workflows/gmsh-openfoam-orcaflex/agent-usage-pattern/SKILL.md"

Manual Installation

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

How gmsh-openfoam-orcaflex-agent-usage-pattern Compares

Feature / Agentgmsh-openfoam-orcaflex-agent-usage-patternStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of gmsh-openfoam-orcaflex: Agent Usage Pattern.

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

# Agent Usage Pattern

## Agent Usage Pattern


An agent can invoke the full pipeline with a single structured call:

```python
# Agent invocation (WRK item execution pattern)
import subprocess, json, sys

result = subprocess.run(
    [
        sys.executable,
        "scripts/pipelines/gmsh_openfoam_orcaflex.py",
        "--diameter", "1.0",
        "--length", "5.0",
        "--velocity", "1.5",
        "--work-dir", "/tmp/wrk_run",
        "--stub-mode",    # remove when solvers are installed
        "--json",
    ],
    capture_output=True, text=True
)

data = json.loads(result.stdout.split("\n{")[1])  # strip pipeline print
# OR: read /tmp/wrk_run/pipeline_results.json

assert data["passed"], f"Pipeline failed: {data['issues']}"
drag = data["summary"]["drag_force_N"]
deflection = data["summary"]["max_deflection_m"]
```

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