Bigquery ML Design — AI skill for Claude Code
BigQuery ML Design System Prompt Template.
How to install Bigquery ML Design
Installs to ~/.claude/skills/gmanch94-claude-code-aidlc-template-bigquery-ml-design/SKILL.md
mkdir -p ~/.claude/skills/gmanch94-claude-code-aidlc-template-bigquery-ml-design && curl -fsSL https://raw.githubusercontent.com/gmanch94/claude-code-aidlc-template/HEAD/prompts/bigquery-ml-design.md -o ~/.claude/skills/gmanch94-claude-code-aidlc-template-bigquery-ml-design/SKILL.md Restart Claude Code, or start a new session, for it to be picked up.
What Bigquery ML Design does
BigQuery ML Design System Prompt Template
Use when: scoping a BigQuery ML (BQML) footprint — the in-warehouse, SQL-driven ML surface on Google Cloud — before writing `CREATE MODEL` / `ML.PREDICT` SQL or wiring scheduled retraining. Outputs the BQML-vs-Vertex gate decision, model-type choice, generative/vector plan, compute + cost model, MLOps (TRANSFORM + retraining + versioning), serving pattern, and lock-in posture — keyed to the workload.
Adjacent: `/vertex-ai-design` (the export target w
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Full documentation available on GitHub
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