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ml-best-practices

Skill

CRITICAL RULE: You MUST use this skill whenever the task involves any machine learning tasks or data analysis. Use this skill if the user's prompt or requirements mention any of the following: * Clustering * Classification * Regression * Time series forecasting * Statistical testing * Model comparis

0Machine Learning

Install

git clone https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack.git ~/.claude/skills/ml-best-practices

What is ml-best-practices?

CRITICAL RULE: You MUST use this skill whenever the task involves any machine learning tasks or data analysis. Use this skill if the user's prompt or requirements mention any of the following: * Clustering * Classification * Regression * Time series forecasting * Statistical testing * Model comparison * ML * Data analysis SQL/BigQuery ML HANDOFF: If the user requires a SQL solution, use this skill to dictate the ANALYSIS STEPS (e.g., markdown analysis cells, visualization logic), but defer to `bigquery` for all SQL syntax.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~132 tokens of context used while enabled, before you invoke anything

Documentation

README · ~6 min read

ML Best Practices

I want to read a story about the data, not just run code. Ensure every code cell is followed by a markdown cell analyzing the results. End the notebook with a summary comprehensively answering the prompt.

If there is a good match between the user's request and a corresponding example plan, then adapt the example plan to fully answer the user's request:

Clustering:

Identify distinct groups based on their features.

  • Understand the schema and field descriptions.
  • Visualize features referenced in the prompt (e.g., with histograms,

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