model-quantization-tool
Model Quantization Tool - Auto-activating skill for ML Deployment. Triggers on: model quantization tool, model quantization tool Part of the ML Deployment skill category.
33
3%
Does it follow best practices?
Impact
83%
1.05xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/08-ml-deployment/model-quantization-tool/SKILL.mdEvaluation results
88%
5%Edge Deployment: Image Classifier Optimization
Quantization validation
Explicit quantization scheme
100%
100%
Calibration or representative data
100%
100%
Model size comparison
100%
100%
Accuracy comparison
100%
100%
Latency comparison
100%
100%
Threshold check
80%
100%
Error handling
50%
30%
Functions or classes used
100%
100%
Reproducibility config
0%
50%
Large file cleanup
100%
100%
75%
11%MLOps Pipeline for Quantized Model Serving
Production serving pipeline
Distinct pipeline stages
70%
100%
Validation stage
0%
20%
Serving endpoint
100%
100%
Health check endpoint
100%
100%
Monitoring or metrics
100%
70%
Externalized configuration
0%
0%
Error handling in serving
100%
80%
Logging in pipeline
0%
100%
Deployment documentation
100%
100%
Large file cleanup
70%
80%
88%
-4%Reproducible Quantization Workflow for Team Onboarding
Step-by-step workflow documentation
Numbered sequential steps
70%
30%
Each step explained
70%
70%
Quantization scheme specified
100%
100%
Industry-standard tool named
100%
100%
Calibration step present
100%
100%
Validation step present
100%
100%
Expected outcomes documented
80%
100%
Parameterized configuration
100%
80%
Runnable automation script
100%
100%
Troubleshooting or caveats
100%
100%
- Commit
3076d78
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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