A comprehensive operating methodology for building, testing, and deploying production-grade software using AI coding agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-vibe-coding
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-vibe-coding using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Vibe Coding Mastery?
Vibe Coding Mastery is a complete system designed to transform how developers interact with AI agents like Claude Code, Cursor, and Windsurf. Based on the concept of vibe coding—where you describe intent and let AI generate implementation—this skill provides a structured framework to move from low-stakes prototyping to high-stakes production deployment. It bridges the gap between simple AI assistance and autonomous agent orchestration.
By implementing this methodology within Openclaw Skills, developers gain access to a rigorous RPIV (Research, Plan, Implement, Validate) workflow. This ensures that AI-generated code isn't just a vibe but a technically sound, tested, and secure foundation for modern applications. The system covers everything from initial tool selection to advanced parallel session management for power users.
Vibe Coding Mastery Use Cases
- Rapidly prototyping internal tools or learning new frameworks using AI-first workflows.
- Orchestrating complex multi-file refactors across entire codebases with AI agents.
- Implementing standardized project rules and conventions through persistent context files.
- Graduating AI-generated prototypes to production-grade software using security and performance checklists.
- Debugging silent failures or race conditions using advanced AI prompting patterns.
How Vibe Coding Mastery Works
- Classification: Use the Decision Matrix to determine if a project is suitable for full vibe mode or requires strict guardrails.
- Context Setup: Initialize project-specific rules files like CLAUDE.md or .cursorrules to define architectural standards.
- RPIV Cycle: Execute the Research, Plan, Implement, and Validate lifecycle for every feature request.
- Constraint Management: Apply the 200-Line Rule and small-file architecture to minimize hallucinations and technical debt.
- Verification: Run the Vibe Testing Pyramid to ensure unit, integration, and E2E tests pass before merging.
- Production Hardening: Audit the codebase against the P0-P3 checklist for security, performance, and reliability.
Vibe Coding Mastery Setup
To begin using Vibe Coding Mastery within your environment, ensure you have an AI-enabled IDE or CLI tool installed. Create a rules file in your repository root to guide Openclaw Skills:
# For Claude Code workflows
touch CLAUDE.md
# For Cursor conditional rules
mkdir -p .cursor/rules && touch .cursor/rules/main.mdc
# For Windsurf environments
touch .windsurfrules
Populate these files with the Universal Rules Template provided in the documentation to establish your project technical constraints and coding standards.
Vibe Coding Mastery Data Schema & Taxonomy
The skill follows a schema-first design philosophy where data structures act as the source of truth for AI agents. Key organizational components include:
| Component | Description |
|---|---|
| Rules Configuration | Persistent context files (CLAUDE.md) defining stack, style, and architectural restrictions. |
| Types Registry | Shared interfaces (e.g., src/types/*.ts) that serve as implementation contracts for the AI. |
| RPIV Plans | Markdown-based implementation plans generated by the agent before any code is written. |
| Testing Pyramid | Co-located test files (*.test.ts) used for automated validation cycles. |
| Progress Log | A PROGRESS.md file used to maintain context across multi-session AI interactions. |
Vibe Coding Mastery Advanced Features
- Parallel AI Sessions: Guidelines for managing multiple AI agents working on frontend, backend, and tests simultaneously.
- Contract-Based Prompting: A Level 5 prompting hierarchy that uses YAML-like specifications for production-grade output.
- Conditional Cursor Rules: Using globs to apply specific standards to different parts of the codebase automatically.
- Automated Production Audits: Specialized prompts to scan for hardcoded secrets, SQL injection, and N+1 query patterns.
- Effectiveness Tracking: A YAML-based schema for monitoring AI developer productivity, bug rates, and prompt quality over time.
SKILL.md
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