ruflo-core

Audit MOP Flow runtime configuration and provider-specific integration files across AI coding environments.

Updated Jun 12, 2026
One-click install
npx skills add https://github.com/BURHANDEV-ENTERPRISE/BURHAN-WEB-DEV --skill ruflo-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ruflo-core
Source: https://github.com/BURHANDEV-ENTERPRISE/BURHAN-WEB-DEV/tree/main/.agents/skills/ruflo-core
Command: npx skills add https://github.com/BURHANDEV-ENTERPRISE/BURHAN-WEB-DEV --skill ruflo-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves fragmentation in runtime behavior by providing a unified configuration and instruction set for MOP Flow across multiple AI coding surfaces and CLI environments.

Core Features & Use Cases

  • Cross-Platform Parity: Ensures consistent execution logic whether using Claude Code, Gemini CLI, or Antigravity.
  • Configuration Inspection: Provides a standardized checklist for auditing provider-specific files like .mcp.json and .claude-flow/config.yaml.
  • Use Case: When migrating a project from Claude Code to a Gemini CLI environment, use this skill to verify that all runtime hooks and integration behaviors remain portable and compliant with MOP Flow standards.

Quick Start

Use the ruflo-core skill to audit the current directory for MOP Flow compatibility and provider-specific configuration issues.

Frequently Asked Questions about ruflo-core

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I standardize MOP Flow runtime configuration across different AI coding environments?

Standardizing MOP Flow runtime configuration requires auditing provider-specific integration files like .mcp.json and .claude-flow/config.yaml. This approach validates local environment settings to ensure consistent execution logic across diverse AI coding surfaces and CLI environments.

What does cross-platform portability mean for MOP Flow in AI agents?

Cross-platform portability for MOP Flow ensures consistent execution logic whether using Claude Code, Gemini CLI, or Antigravity. It audits provider-specific entry points and integration files to maintain standardized runtime behavior across different AI coding environments.

How do I verify runtime hooks when migrating between Claude Code and Gemini CLI?

Verifying runtime hooks during migration involves auditing the current directory for MOP Flow compatibility and checking provider-specific configuration files. This ensures integration behaviors remain portable and compliant with MOP Flow standards across the new environment.

Can I audit local environment settings for MOP Flow without exposing system secrets?

Auditing local environment settings for MOP Flow operates under strict safety constraints regarding system state and secret exposure. It validates your local configuration without compromising sensitive data while checking provider-specific files for compatibility issues.

What is the best way to check provider-specific configuration files for MOP Flow compatibility?

The best way to check MOP Flow compatibility is using a standardized checklist to audit provider-specific files like .mcp.json and .claude-flow/config.yaml. This resolves fragmentation in runtime behavior by providing a unified configuration and instruction set.