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Create conventional commit messages. Use when committing changes or writing commit messages.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
Comprehensive fullstack development skill for building complete web applications with React, Next.js, Node.js, GraphQL, and PostgreSQL. Includes project scaffolding, code quality analysis, architecture patterns, and complete tech stack guidance. Use when building new projects, analyzing code quality, implementing design patterns, or setting up development workflows.
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
| name | git-commit |
| description | Create conventional commit messages. Use when committing changes or writing commit messages. |
<type>(<scope>): <subject>
<body>
<footer>
| Type | Description |
|---|---|
feat | New feature |
fix | Bug fix |
docs | Documentation only |
style | Formatting, no code change |
refactor | Code restructuring, no behavior change |
perf | Performance improvement |
test | Adding/updating tests |
build | Build system or dependencies |
ci | CI/CD configuration |
chore | Maintenance tasks |
revert | Reverting previous commit |
Closes #123, Fixes #456BREAKING CHANGE: descriptionfeat(auth): add OAuth2 login support
fix(api): handle null response from payment gateway
The payment gateway occasionally returns null instead of an error
object when the service is degraded. This caused unhandled exceptions.
Added null check and appropriate error handling.
Fixes #789
refactor(api)!: change user endpoint response format
BREAKING CHANGE: The /api/users endpoint now returns an object
with a `data` wrapper instead of a raw array.
Before: [{ id: 1, name: "John" }]
After: { data: [{ id: 1, name: "John" }], meta: { total: 1 } }
# Stage and commit
git add .
git commit -m "feat(scope): description"
# Amend last commit
git commit --amend
# Interactive rebase to fix commits
git rebase -i HEAD~3