Generative AI Skills — Vibe Coding in Practice with Cursor

1. Introduction

Modern software development with Generative AI is no longer about experimenting with tools. It is about operating in flow with an AI copilot. One of the most effective emerging practices for this is vibe coding: a way of coding where intent, structure, and judgment lead, while the AI removes friction.

In tools like Cursor, these skills are not abstract. They are explicit, written, and reusable, often expressed as Markdown files (MD) that guide how the AI collaborates with you.

This article explains: what these skills are, how they translate into MD artifacts, and concrete examples you can use immediately in Cursor.

2. What "skills as MD" really means in Cursor

In Cursor, Markdown files act as behavioral contracts between you and the AI. They define:

• how the AI should think,
• how it should respond,
• what it should and should not do,
• and how work should flow.

In practice:

• A skill is not assumed.
• A skill is written.

Each MD file encodes a reusable way of working.

3. Core skill categories for Vibe Coding (1/2)

# AI Role – Senior Software Engineer

You act as a senior software engineer.

Principles:
- Prefer simple and readable solutions
- Avoid overengineering
- Explain tradeoffs briefly
- Assume production-grade quality

Constraints:
- Do not introduce external libraries unless explicitly requested
- Keep functions small and testable

# Vibe Coding Guidelines

We work in small, fast iterations.

Rules:
- Generate partial solutions, not full systems
- Ask clarifying questions when context is missing
- Optimize for clarity and momentum
- Prefer refactoring over rewriting

Tone:
- Concise
- Pragmatic
- Action-oriented

# Architecture Rules

Core principles:
- Separate deterministic logic from AI logic
- Business rules must be explicit and traceable
- AI is used for interpretation, analysis, or generation only

Structure:
- /core → deterministic logic
- /ai → prompts and orchestration
- /ui → presentation and rendering

4. Core skill categories for Vibe Coding (2/2)

# Prompting Style

For code generation:
- Always specify language and version
- Define input and output formats
- State constraints explicitly

For data analysis:
- Summarize observations first
- List inconsistencies second
- Propose actions last

Avoid generic explanations.

# Validation and Review Rules

- Never assume AI output is correct
- Highlight assumptions and risks
- Prefer explicit error handling
- Flag unclear logic immediately

If uncertainty exists, ask before proceeding.

# AI Usage Boundaries

Use AI for:
- Scaffolding and boilerplate
- Refactoring
- Documentation
- Summarization

Avoid AI for:
- Core financial logic
- Security-sensitive code
- Critical calculations

5. How Cursor actually uses these MD files

Cursor:

• reads the open file,
• considers nearby and related files,
• preserves semantic context across edits.

When these MD files live in your repository and are referenced during work:

• outputs become more consistent,
• tone stabilizes,
• architectural alignment improves.

5. How Cursor actually uses these MD files

Cursor:

• reads the open file,
• considers nearby and related files,
• preserves semantic context across edits.

When these MD files live in your repository and are referenced during work:

• outputs become more consistent,
• tone stabilizes,
• architectural alignment improves.