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.

1.05x

Quality

Does it follow best practices?

Impact

83%

1.05x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/08-ml-deployment/model-quantization-tool/SKILL.md

Evaluation results

88%

Edge Deployment: Image Classifier Optimization

Quantization validation

Criteria

Without context

With context

Explicit quantization scheme

100%

Calibration or representative data

100%

Model size comparison

100%

Accuracy comparison

100%

Latency comparison

100%

Threshold check

80%

100%

Error handling

50%

30%

Functions or classes used

100%

Reproducibility config

50%

Large file cleanup

100%

Without context: $0.9571 · 11m 59s · 40 turns · 40 in / 14,577 out tokens

With context: $0.7858 · 5m 4s · 37 turns · 37 in / 10,502 out tokens

75%

11%

MLOps Pipeline for Quantized Model Serving

Production serving pipeline

Criteria

Without context

With context

Distinct pipeline stages

70%

100%

Validation stage

20%

Serving endpoint

100%

Health check endpoint

100%

Monitoring or metrics

100%

70%

Externalized configuration

Error handling in serving

100%

80%

Logging in pipeline

100%

Deployment documentation

100%

Large file cleanup

70%

80%

Without context: $0.6447 · 4m 42s · 33 turns · 145 in / 9,810 out tokens

With context: $0.5864 · 3m 45s · 32 turns · 30 in / 8,449 out tokens

88%

-4%

Reproducible Quantization Workflow for Team Onboarding

Step-by-step workflow documentation

Criteria

Without context

With context

Numbered sequential steps

70%

30%

Each step explained

70%

Quantization scheme specified

100%

Industry-standard tool named

100%

Calibration step present

100%

Validation step present

100%

Expected outcomes documented

80%

100%

Parameterized configuration

100%

80%

Runnable automation script

100%

Troubleshooting or caveats

100%

Without context: $1.6815 · 13m 8s · 57 turns · 59 in / 24,064 out tokens

With context: $1.7017 · 12m 37s · 65 turns · 359 in / 18,589 out tokens

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: f17dd51

Evaluated: 17 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Edge Deployment: Image Classifier Optimization MLOps Pipeline for Quantized Model Serving Reproducible Quantization Workflow for Team Onboarding

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