sync-stratus

Audit and integrate AI project components within the Stratus framework.

1|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/MartinNevlaha/stratus-v2 --skill sync-stratus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sync-stratus
Source: https://github.com/MartinNevlaha/stratus-v2/tree/main/cmd/stratus/skills/sync-stratus
Command: npx skills add https://github.com/MartinNevlaha/stratus-v2 --skill sync-stratus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill acts as an automated auditor and integrator for your AI development environment, ensuring all components like agents, skills, and configurations are correctly set up and integrated. It identifies potential issues and offers to apply patches for seamless integration.

Core Features & Use Cases

  • Comprehensive Audit: Scans project configuration, hooks, skills, agents, and conventions.
  • Integration Assistance: Detects missing components, naming conflicts, and responsibility overlaps.
  • Tech Stack Detection: Identifies the project's technology stack and suggests relevant agent configurations.
  • Convention Mining: Extracts coding conventions from CLAUDE.md files and suggests governance rules.
  • Use Case: Before starting a new feature, run /sync-stratus to ensure your AI assistant's environment is perfectly configured, preventing common integration errors and optimizing agent performance.

Quick Start

Run the sync-stratus skill to audit your current AI project setup and identify integration recommendations.

Frequently Asked Questions about sync-stratus

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

FAQPage Schema
How do I audit my AI project setup for missing components?

AI project integration detects technology stacks, extracts coding conventions from CLAUDE.md files, and suggests relevant agent configurations. It applies integration patches to align agents, skills, rules, and hooks within the Stratus framework.

What's the best way to ensure my AI development environment is correctly configured?

The best way to ensure a correctly configured AI development environment is to run an automated audit that identifies potential issues and applies integration patches for seamless component setup, optimizing agent performance before starting new features.

How do I extract and apply coding conventions from CLAUDE.md files?

Extracting coding conventions from CLAUDE.md files is done through convention mining, which reads your project rules and suggests governance configurations. This ensures your AI assistant adheres to established coding standards and project conventions.

Can I detect my project's tech stack and configure relevant AI agents?

Yes, tech stack detection identifies your project's technology stack and suggests relevant agent configurations automatically. This ensures your AI assistant's environment matches your specific development framework and tools.

Why does my AI assistant have naming conflicts or responsibility overlaps between agents?

Naming conflicts and responsibility overlaps occur when multiple agents or skills share identifiers or tasks. An integration audit scans for these conflicts, detects overlapping responsibilities, and applies patches to resolve them.