orcawave-aqwa-benchmark-benchmark-suite-configuration
Sub-skill of orcawave-aqwa-benchmark: Benchmark Suite Configuration (+1).
Best use case
orcawave-aqwa-benchmark-benchmark-suite-configuration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcawave-aqwa-benchmark: Benchmark Suite Configuration (+1).
Teams using orcawave-aqwa-benchmark-benchmark-suite-configuration 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/benchmark-suite-configuration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcawave-aqwa-benchmark-benchmark-suite-configuration Compares
| Feature / Agent | orcawave-aqwa-benchmark-benchmark-suite-configuration | 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 orcawave-aqwa-benchmark: Benchmark Suite Configuration (+1).
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
# Benchmark Suite Configuration (+1)
## Benchmark Suite Configuration
```yaml
# configs/benchmark_suite.yml
benchmark:
name: "FPSO Diffraction Validation"
description: "OrcaWave vs AQWA comparison for FPSO vessel"
reference:
tool: "AQWA"
version: "2024.R1"
*See sub-skills for full details.*
## Automated Validation Script
```yaml
# configs/validation_criteria.yml
validation:
pass_criteria:
# At least 90% of significant points within tolerance
min_points_within_tolerance: 0.90
# Maximum allowed deviation for any single point
max_single_deviation: 0.15
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