pyaethu-aung/skills: A Structured Development Workflow Skill Set for Claude

pyaethu-aung/skills is a collection of AI Agent skills built on the npx skills standard, specifically designed for Claude. It enforces development norms through reusable slash commands, covering three core scenarios: Git commits, PR creation, and PostgreSQL database modeling. Its goal is to solve the problem of inconsistent code styles in AI-assisted programming, improving team collaboration efficiency and code maintainability.

With the popularity of AI programming assistants like Claude Code, developers rely on AI to complete coding tasks. However, AI-generated code often has issues such as messy commit messages, incomplete PR descriptions, and varying database modeling styles, leading to difficulties in code reviews and hard-to-trace version history in team collaboration. This project focuses on structural constraints, enabling Claude to follow established norms through predefined skills, achieving consistency maintenance based on the 'convention over configuration' principle.

The project includes three core skills:

1. commit-message: Enforces atomic commits, the 50/72 character rule, and Conventional Commits format, and provides confirmation prompts;
2. create-pr: Intelligently derives PR titles and bodies, generates a structured template containing Summary, Changes, and Test plan, and submits after double confirmation;
3. postgres-scaffold: Generates Goose migration files and UUIDv7 primary keys, enforces schema conventions such as snake_case plural table names and audit fields, and supports GORM model generation.

Based on the npx skills standard: Specific skills can be installed via the npx command (e.g., npx skills add pyaethu-aung/skills --skill commit-message) or installed globally; Git Hooks integration: Provides a commit-msg hook that checks the compliance of commit messages when activated; Claude protection mechanism: Intercepts non-compliant commands (such as direct git commit) via PreToolUse hooks, forcing the use of skills for execution.

This skill set is applicable to:

• Team collaboration: Unify AI-generated code styles and reduce review burdens;
• Open-source projects: Maintain clear change history for easy CHANGELOG generation;
• Personal development: Cultivate good commit habits;
• Database-intensive applications: Automate schema norms to avoid low-level errors.

pyaethu-aung/skills represents the transition of AI-assisted programming from 'being able to do things' to 'doing things according to norms'. By encoding best practices into reusable skills, developers can enjoy the efficiency of AI while maintaining code professionalism. This 'constraint is freedom' concept is expected to become a new paradigm for team collaboration in the AI era.