digitalmodel-orcawave-orcaflex-proof-workflows
Class-level digitalmodel OrcaWave/OrcaFlex readiness, semantic-proof, fixture-proof, and closeout workflows.
Best use case
digitalmodel-orcawave-orcaflex-proof-workflows is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Class-level digitalmodel OrcaWave/OrcaFlex readiness, semantic-proof, fixture-proof, and closeout workflows.
Teams using digitalmodel-orcawave-orcaflex-proof-workflows 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/digitalmodel-orcawave-orcaflex-proof-workflows/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How digitalmodel-orcawave-orcaflex-proof-workflows Compares
| Feature / Agent | digitalmodel-orcawave-orcaflex-proof-workflows | 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?
Class-level digitalmodel OrcaWave/OrcaFlex readiness, semantic-proof, fixture-proof, and closeout workflows.
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
# Digitalmodel Orcawave Orcaflex Proof Workflows ## When to Use Use for digitalmodel readiness audits, OrcaWave/OrcaFlex semantic proof waves, fixture-backed reporting proof, closeout verification, and marine-engineering calculation reports that turn legacy workbook/source-pack logic into tested digitalmodel inputs, charts, and report artifacts. ## Class-Level Workflow 1. Separate semantic proof readiness from production solver readiness. 2. Use fixture-backed reports to prove parser/reporting behavior before external solver assumptions. 3. Close waves only after local artifacts, issue comments, and follow-up blockers are reconciled. ## Consolidated Session Learnings The `references/` directory contains archived narrow skills absorbed during the 2026-04-29 umbrella consolidation pass. Use the subsections below as the class-level index, then open the named reference when a case-specific recipe is needed. ## Absorbed Narrow Skills (2026-04-29) ### `orcawave-orcaflex-readiness-audit` - Former skill demoted to `references/orcawave-orcaflex-readiness-audit.md`. - Preserved insight: Audit the real readiness of digitalmodel OrcaWave/OrcaFlex spec-driven workflows by reconciling workspace-hub issues, source/tests, semantic-equivalence boundaries, and wiki synthesis gaps. ### `orcawave-orcaflex-semantic-proof-wave-closeout` - Former skill demoted to `references/orcawave-orcaflex-semantic-proof-wave-closeout.md`. - Preserved insight: Close out an OrcaWave/OrcaFlex semantic-proof wave after a PR merges, split unrelated CI blockers, and seed the next semantic-proof issue wave without duplicating existing issues.
Related Skills
OrcaFlex Specialist Skill
```yaml
orcaflex-reporting-fixture-proof-pattern
Build and extend fixture-backed OrcaFlex reporting proof paths in digitalmodel using stable metadata baselines, normalized HTML snapshots, and reusable reporting test helpers.
digitalmodel-worktree-test-execution-with-shared-venv
Run digitalmodel tests from isolated worktrees without uv editable-dependency failures by using the main repo's existing virtualenv and PYTHONPATH.
digitalmodel-code-explorer
Fast orientation guide for the digitalmodel codebase, with module lookup, source-to-test mapping, and targeted inspection patterns to avoid repeated bulk-reading of digitalmodel/src and tests.
orcawave-orcaflex-readiness-audit
Audit the real readiness of digitalmodel OrcaWave/OrcaFlex spec-driven workflows by reconciling workspace-hub issues, source/tests, semantic-equivalence boundaries, and wiki synthesis gaps.
digitalmodel-orcawave-orcaflex-workflow
Current-state workflow for navigating and extending digitalmodel OrcaWave/OrcaFlex capabilities across code, tests, issues, queue tooling, and licensed-machine boundaries.
orcawave-orcaflex-semantic-proof-wave-closeout
Close out an OrcaWave/OrcaFlex semantic-proof wave after a PR merges, split unrelated CI blockers, and seed the next semantic-proof issue wave without duplicating existing issues.
orcawave-to-orcaflex
Integration specialist for converting OrcaWave diffraction results to OrcaFlex vessel types. Handles hydrodynamic database generation, RAO import, viscous damping addition, and coordinate system transformations.
orcawave-qtf-analysis
Second-order wave force QTF computation in OrcaWave. Use when computing mean drift forces, difference-frequency or sum-frequency QTFs, slow-drift response, or applying Newman approximation for offshore structures.
orcawave-multi-body
Multi-body hydrodynamic interaction analysis in OrcaWave. Use when setting up coupled vessel models, side-by-side operations, FPSO-tanker interactions, gap resonance studies, or hydrodynamic shielding calculations.
orcawave-mesh-generation
Panel mesh generation for OrcaWave diffraction analysis. Use when converting CAD/STL to panel mesh, validating mesh quality, running convergence studies, or generating GDF files for hydrodynamic computations.
orcawave-damping-sweep
Viscous damping analysis for OrcaWave. Use when running parametric damping sweeps, optimizing roll damping coefficients, computing critical damping, or comparing damping results with model test data for vessel motion tuning.