orcawave-aqwa-benchmark-html-report-structure
Sub-skill of orcawave-aqwa-benchmark: HTML Report Structure (+1).
Best use case
orcawave-aqwa-benchmark-html-report-structure is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcawave-aqwa-benchmark: HTML Report Structure (+1).
Teams using orcawave-aqwa-benchmark-html-report-structure 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/html-report-structure/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcawave-aqwa-benchmark-html-report-structure Compares
| Feature / Agent | orcawave-aqwa-benchmark-html-report-structure | 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: HTML Report Structure (+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
# HTML Report Structure (+1)
## HTML Report Structure
```python
from digitalmodel.diffraction.comparison_framework import BenchmarkReporter
# Initialize reporter
reporter = BenchmarkReporter()
# Generate comprehensive report
reporter.generate_html_report(
comparison_results=results,
output_file="reports/benchmark_report.html",
*See sub-skills for full details.*
## Report Sections (r4 Canonical Format)
The r4 benchmark report format is the **standard template for all diffraction analysis**. All new benchmark and diffraction reports must follow this structure:
1. **Header** — Vessel name, date, overall consensus badge
2. **Input Comparison** — Solver-column table (geometry, mass, environment, damping)
3. **Consensus Summary** — Per-DOF badges (FULL/SPLIT/NO_CONSENSUS)
4. **Per-DOF Analysis** — 2-col grid: text/conclusions left (45%), Plotly plot right (55%)
5. **Full Overlay Plots** — Combined amplitude/phase across all DOFs
6. **Notes** — Auto-generated observations
Reference implementation: `benchmark_plotter.py` + `benchmark_runner.py`Related Skills
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