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This skill helps apply coding patterns from easy_stat_edu to improve JavaScript projects with clear structure and maintainable patterns.

npx playbooks add skill itou-daiki/easy_stat_edu --skill auto-generated

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SKILL.md

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---
name: easy_stat_edu-patterns
description: Coding patterns extracted from easy_stat_edu
version: 1.0.0
source: local-git-analysis
analyzed_commits: 200
---

# easy_stat_edu Patterns

## Commit Conventions
Based on recent commit history:
- Features: 50
- Fixes: 8
- Maintenance (chore): 3
- Documentation: 1
- Refactoring: 13
- Testing: 0

## Code Architecture
(Auto-generated architecture overview would go here - placeholder)

## Workflows
(Auto-generated workflow usage would go here - placeholder)

Overview

This skill captures coding patterns and team practices extracted from the easy_stat_edu project to help engineers adopt proven conventions. It summarizes commit conventions, architecture cues, and workflow hints to speed onboarding and align contributions. The content is focused on practical patterns observed in the codebase history and structure.

How this skill works

The skill inspects commit metadata and repository structure to identify recurring patterns such as commit types, frequency of refactors, and distribution of work across features and fixes. It aggregates these signals into concise recommendations and examples that can be applied to similar JavaScript projects. Outputs are designed to be directly actionable for maintainers and contributors.

When to use it

When onboarding new contributors to preserve consistent commit and development habits.
When defining or updating a lightweight contribution guide or commit policy.
When evaluating project health and prioritizing refactors versus feature work.
When deciding how to structure small-to-medium JavaScript projects and releases.

Best practices

Adopt clear commit types (feature, fix, chore, refactor, docs) to make history readable and automatable.
Prioritize feature work but schedule periodic refactors to reduce technical debt.
Keep documentation and testing efforts visible in commits to encourage coverage improvements.
Use commit frequency metrics to identify active areas of the codebase and allocate review resources.
Record maintenance or chore items separately to avoid mixing operational changes with feature commits.

Example use cases

Create a CONTRIBUTING guideline that mirrors observed commit types to streamline PR reviews.
Run periodic audits of commit history to spot modules needing refactor investment.
Set up CI checks that enforce commit message prefixes based on the project’s common conventions.
Use the pattern summary to train new team members on where to focus testing and code review.
Estimate effort allocation by comparing counts of features vs fixes and planning sprints accordingly.

FAQ

Does this skill enforce rules automatically?

No, it provides patterns and recommendations; enforcement requires integrating CI tools or hooks.

Are the patterns specific to JavaScript?

Patterns are derived from a JavaScript project and are most directly applicable there, but many suggestions generalize to other languages.