Generate confusion matrix generator operations. Auto-activating skill for ML Training.
SkillScore96Maintained
Automatic
◆AI Engineer pack
Last verified 8/29/2026
What it changes
Passed 23 of 24 test cases with the skill, and 22 of 24 without it.
Without skill92%
With skill96%
Checks it passed that the model alone missed
Computes True Negatives by summing matrix elements outside row class_idx and column class_idx.
1 fixed22 passed either way1 still failing0 broke
Pass-rate lift
+4 pp
Tokens
+34%
Agent turns
0%
Response time
+16%
Model gemini-3.6-flashMeasured 8/29/2026v123 of 24 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
A test case the skill fixed. Same model, same prompt, with and without the skill.
Prompt
Given a multi-class confusion matrix array `cm` (rows = actual, columns = predicted), write a Python function `get_class_specificity(cm, class_idx)` that calculates Specificity (True Negative Rate) for class `class_idx`. Specificity is TN / (TN + FP).
What was checked, without and with the skill
Checked
Without skill
With skill
Computes True Negatives by summing matrix elements outside row class_idx and column class_idx.
Missed
Passed
Computes False Positives by summing column class_idx excluding diagonal element cm[class_idx, class_idx].
Passed
Passed
case-17 · gemini-3.6-flash · 8/29/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md60 linessingle file
Confusion Matrix Generator
Overview
This skill provides automated assistance for confusion matrix generator tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
Mention "confusion matrix generator" in your request
Ask about confusion matrix generator patterns or best practices
Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.
Instructions
Provides step-by-step guidance for confusion matrix generator
Follows industry best practices and patterns
Generates production-ready code and configurations
Validates outputs against common standards
Examples
Example: Basic Usage
Request: "Help me with confusion matrix generator"
Result: Provides step-by-step guidance and generates appropriate configurations