solver-benchmark-correlation-thresholds
Sub-skill of solver-benchmark: Correlation Thresholds (+1).
Best use case
solver-benchmark-correlation-thresholds is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of solver-benchmark: Correlation Thresholds (+1).
Teams using solver-benchmark-correlation-thresholds 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/correlation-thresholds/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How solver-benchmark-correlation-thresholds Compares
| Feature / Agent | solver-benchmark-correlation-thresholds | 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 solver-benchmark: Correlation Thresholds (+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
# Correlation Thresholds (+1)
## Correlation Thresholds
| Range | Interpretation | Action |
|-------|---------------|--------|
| > 0.99 | Excellent agreement | Solvers validated |
| 0.95 – 0.99 | Good agreement | Minor differences (phase convention, numerics) |
| 0.80 – 0.95 | Fair agreement | Investigate input differences |
| < 0.80 | Poor agreement | Likely input mismatch or unit error |
| Negative | Anti-correlated | Data extraction bug (wrong frequency order, wrong units) |
## Common Causes of Poor Correlation
1. **Negative correlations**: Frequency arrays in different order (ascending vs descending)
2. **Near-zero correlations**: Hz vs rad/s mismatch (factor of 2*pi offset)
3. **NaN correlations**: Zero standard deviation (all-zero DOF, e.g. yaw for head seas)
4. **Good amplitude, bad phase**: Different time convention (e^{+iwt} vs e^{-iwt})Related Skills
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