Patterns for efficient ML data pipelines using Polars, Arrow, and ClickHouse. TRIGGERS - data pipeline, polars vs pandas, arrow format, clickhouse ml, efficient loading, zero-copy, memory optimization.
Quickly install ml-data-pipeline-architecture AI skill to your development environment via command line
Source: terrylica/cc-skills.
Patterns for efficient ML data pipelines using Polars, Arrow, and ClickHouse.
ADR: 2026-01-22-polars-preference-hook (efficiency preferences framework)
Note: A PreToolUse hook enforces Polars preference. To use Pandas, add # polars-exception: at file top.
Patterns for efficient ML data pipelines using Polars, Arrow, and ClickHouse. TRIGGERS - data pipeline, polars vs pandas, arrow format, clickhouse ml, efficient loading, zero-copy, memory optimization. Source: terrylica/cc-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/terrylica/cc-skills --skill ml-data-pipeline-architecturePatterns for efficient ML data pipelines using Polars, Arrow, and ClickHouse. TRIGGERS - data pipeline, polars vs pandas, arrow format, clickhouse ml, efficient loading, zero-copy, memory optimization. Source: terrylica/cc-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/terrylica/cc-skills --skill ml-data-pipeline-architecture Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/terrylica/cc-skills