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itou-daiki
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easy_stat_edu-patterns

Extract coding patterns from the easy_stat_edu repository.

Updated Nov 17, 2025
Search Tags:#architecture#documentation#frontmatter#repository-analysis#coding-patterns#statistical-education#patterns-extraction
One-click install
npx skills add https://github.com/itou-daiki/easy_stat_edu --skill easy-stat-edu-patterns
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: easy_stat_edu-patterns
Source: https://github.com/itou-daiki/easy_stat_edu/tree/main/.agent/skills/auto-generated
Command: npx skills add https://github.com/itou-daiki/easy_stat_edu --skill easy-stat-edu-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Patterns extracted from easy_stat_edu help engineers quickly understand recurring design and implementation patterns across a large stats education project, enabling faster onboarding and standardized approaches.

Core Features & Use Cases

  • Pattern extraction: collects common coding patterns, architectures, and workflows from the repository.
  • Reference guidance: provides a concise map of module boundaries, testing practices, and data handling conventions.
  • Use case: a developer opening a new analytics project can reuse the identified patterns to accelerate setup and ensure consistency.

Quick Start

Review the extracted coding patterns to guide your own project setup and coding standards.

Frequently Asked Questions about easy_stat_edu-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract coding patterns from a statistical education repository?▼

Repository analysis for coding patterns involves identifying recurring architectures, module boundaries, and data handling conventions. This Skill surfaces those insights to help engineers quickly understand design workflows across a large stats education project.

What coding patterns can I discover from analyzing a stats analytics project?▼

Analyzing a stats analytics project reveals coding patterns related to repository structure, module boundaries, build practices, and test conventions. The Skill identifies these recurring designs to help standardize development approaches and accelerate project setup.

How do I identify module boundaries and build practices from an existing codebase?▼

You identify module boundaries and build practices by applying this Skill to analyze repository structure and workflows. It maps architectural conventions and testing practices, delivering a plain-text Quick Start guide for developer reference.

Does this pattern extraction tool require any dependencies to analyze repository structure?▼

No, this pattern extraction tool requires no dependencies to analyze repository structure. It operates independently to satisfy frontmatter requirements and process metadata like version and analyzed_commits without needing external components.

When do I need to extract coding patterns from a statistical analytics project?▼

You need to extract coding patterns from a statistical analytics project when onboarding to a new codebase or aiming to ensure consistency. It helps developers reuse identified architectures and workflows to accelerate project setup and standardize approaches.

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