🔍 Data Ml
This skill helps you leverage data and machine learning to build data-driven features by analyzing data, integrating models, and applying analytics insights.
npx playbooks add skill baz-scm/awesome-reviewers --skill data-ml
About Data Ml
This skill helps you leverage data and machine learning to build data-driven features by analyzing data, integrating models, and applying analytics insights.
This compact 22-word instruction set is purpose-built for code review & quality work in AI coding agents. Install with a single command.
Use Cases
- Catching bugs and security vulnerabilities before merge
- Enforcing code style and architectural consistency
- Reviewing PRs for performance and maintainability
- Generating detailed code review comments
Example Prompts
System Prompt (22 words)
This skill helps you leverage data and machine learning to build data-driven features by analyzing data, integrating models, and applying analytics insights.
Frequently Asked Questions
What is Data Ml?
Data Ml is a free code review & quality skill for AI coding agents. This skill helps you leverage data and machine learning to build data-driven features by analyzing data, integrating models, and applying analytics insights.. It provides a specialized system prompt that configures your agent with code review & quality expertise.
How do I use Data Ml with Claude Code?
Run npx playbooks add skill baz-scm/awesome-reviewers --skill data-ml in your terminal to install Data Ml into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Data Ml?
Data Ml is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Data Ml free to use?
Yes, Data Ml is completely free and open source. The full source is available on GitHub at https://github.com/baz-scm/awesome-reviewers/tree/main/_skills/data-ml. You only need a subscription to the AI agent you use it with.
