bemrosetta-parsing
Sub-skill of bemrosetta: Parsing (+3).
Best use case
bemrosetta-parsing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of bemrosetta: Parsing (+3).
Teams using bemrosetta-parsing 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/parsing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How bemrosetta-parsing Compares
| Feature / Agent | bemrosetta-parsing | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of bemrosetta: Parsing (+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
# Parsing (+3) ## Parsing - Parse AQWA .LIS files extracting RAOs, added mass, damping - Parse QTF files for second-order wave forces - Extract solver metadata (version, water depth, frequencies, headings) ## Conversion - Convert to OrcaFlex vessel type YAML - Export coefficient CSV files - Export QTF data in OrcaFlex format ## Mesh Processing - Read/write WAMIT GDF format - Read/write AQWA/NEMOH DAT format - Read/write STL format (ASCII and binary) - Calculate mesh quality metrics ## Validation - Coefficient symmetry checks - Positive definiteness verification - Physical limits validation - Kramers-Kronig causality checking
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