bigquery-ml-model-creator

Bigquery Ml Model Creator - Auto-activating skill for GCP Skills. Triggers on: bigquery ml model creator, bigquery ml model creator Part of the GCP Skills skill category.

0.98x

Quality

Does it follow best practices?

Impact

89%

0.98x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/14-gcp-skills/bigquery-ml-model-creator/SKILL.md

Evaluation results

95%

Retail Demand Forecasting with BigQuery ML

gcloud CLI usage and step-by-step BigQuery ML workflow

Criteria

Without context

With context

gcloud for project config

100%

No bq CLI in bash scripts

CREATE MODEL with model type

100%

Model training options

100%

Evaluation query uses ML function

100%

Prediction query present

100%

Step-by-step structure in README

100%

Project and dataset references

100%

API enablement in setup

100%

Production code quality

100%

Without context: $0.2564 · 1m 15s · 15 turns · 16 in / 4,749 out tokens

With context: $0.4938 · 1m 56s · 25 turns · 98 in / 6,986 out tokens

98%

-2%

Customer Churn Prediction Model

Model validation and output verification

Criteria

Without context

With context

CREATE MODEL classification type

100%

Training options specified

100%

ML.EVALUATE used

100%

Additional evaluation functions

100%

Validation against thresholds

100%

Production-ready scoring query

100%

Label column specified

100%

Step-by-step workflow documented

100%

75%

Correct dataset references

100%

Comments in SQL

100%

Without context: $0.4032 · 1m 53s · 22 turns · 23 in / 6,355 out tokens

With context: $0.4711 · 1m 43s · 25 turns · 24 in / 6,526 out tokens

74%

-3%

GCP-Integrated BigQuery ML Training Pipeline

GCP multi-service integration with gcloud

Criteria

Without context

With context

gcloud in pipeline.sh

Cloud Storage interaction via gcloud

33%

BigQuery data load step

100%

CREATE OR REPLACE MODEL

100%

Model type specified

100%

Evaluation step in pipeline

100%

Predictions written to table

100%

Ordered pipeline steps in README

100%

Project configuration in script

100%

62%

Production-quality script

100%

Without context: $0.4324 · 1m 37s · 23 turns · 23 in / 6,506 out tokens

With context: $0.5047 · 1m 39s · 29 turns · 62 in / 6,559 out tokens

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 0c08951

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

Table of Contents

Retail Demand Forecasting with BigQuery ML Customer Churn Prediction Model GCP-Integrated BigQuery ML Training Pipeline

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