Agent skill

orcaflex-post-processing

Post-process OrcaFlex simulation results using OPP (OrcaFlex Post-Process). Use for extracting summary statistics, linked statistics, range graphs, time series, histograms, and generating interactive HTML reports from .sim files.

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill orcaflex-post-processing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/analysis/orcaflex-post-processing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# OrcaFlex Post-Processing Skill Extract and analyze results from OrcaFlex simulation files (.sim) using the OPP (OrcaFlex Post-Process) module. ## Version Metadata ```yaml version: 1.0.0 python_min_version: '3.10' dependencies: orcaflex-modeling: '>=2.0.0,<3.0.0' signal-analysis: '>=1.0.0,<2.0.0' orcaflex_version: '>=11.0' compatibility: tested_python: - '3.10' - '3.11' - '3.12' - '3.13' os: - Windows - Linux - macOS ``` ## Changelog ### [1.0.0] - 2026-01-07 **Added:** - Initial version metadata and dependency management - Semantic versioning support - Compatibility information for Python 3.10-3.13 **Changed:** - Enhanced skill documentation structure ## When to Use - Extracting summary statistics from simulation results - Creating range graphs for motion/load envelopes - Generating time series plots for specific variables - Computing linked statistics (correlations between variables) - Creating histogram distributions of results - Building interactive HTML dashboards from simulation data - Batch processing multiple .sim files in parallel ## Prerequisites - OrcaFlex license (for reading .sim files) - Completed simulations in `.sim/` directory - Python environment with `digitalmode

What's inside
Steps it walks through
  1. Version Metadata
  2. Changelog
  3. [1.0.0] - 2026-01-07
  4. When to Use
  5. Prerequisites
  6. Post-Processing Types
  7. 1. Summary Statistics
  8. 2. Linked Statistics
  9. 3. Range Graphs
  10. 4. Time Series
  11. 5. Histograms
  12. Python API
  13. Basic Post-Processing
  14. Batch Processing with Parallel Execution
Ships with 1 file
  • metadata.json
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About this skill
What does the orcaflex-post-processing skill do?

Post-process OrcaFlex simulation results using OPP (OrcaFlex Post-Process). Use for extracting summary statistics, linked statistics, range graphs, time series, histograms, and generating interactive HTML reports from .sim files.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill orcaflex-post-processing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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