systemcc

Orchestrate multi-phase AI development with task routing, prompt optimization, and triple code review.

15|4|Updated Jul 4, 2025
One-click install
npx skills add https://github.com/Kasempiternal/Claude-Agent-System --skill systemcc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: systemcc
Source: https://github.com/Kasempiternal/Claude-Agent-System/tree/main/claude-agent-system-plugin/skills/systemcc
Command: npx skills add https://github.com/Kasempiternal/Claude-Agent-System --skill systemcc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the entire AI development workflow, from understanding a user's request to executing complex tasks, performing rigorous code reviews, and delivering a final, quality-assured result without manual intervention.

Core Features & Use Cases

  • Intelligent Routing: Automatically selects the best workflow based on task complexity, risk, and scope.
  • AI Prompt Optimization: Enhances user prompts for better AI understanding and execution using the Lyra AI methodology.
  • Build Configuration Adherence: Automatically detects and applies project-specific formatting, linting, and testing standards.
  • Automated Execution & Review: Runs the chosen workflow and performs a triple-phase code review to ensure quality and identify critical issues.
  • Use Case: A user needs to implement a new authentication feature. Instead of manually breaking down the task, selecting agents, and reviewing code, they simply run /systemcc "Implement a secure JWT-based authentication system". SystemCC handles the rest, from planning and coding to validation and review.

Quick Start

Use systemcc to implement a secure JWT-based authentication system.

Frequently Asked Questions about systemcc

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

FAQPage Schema
How do I automate AI workflow orchestration for complex feature implementation?

Automated AI workflow orchestration handles complex feature implementation by routing tasks intelligently, optimizing prompts via Lyra AI, and executing builds with automated triple code review. This multi-phase process ensures quality gates are met without manual intervention.

What is the best way to ensure code review adherence to project build configuration standards?

To ensure code review adheres to project build configuration standards, this orchestration process automatically detects and applies project-specific formatting, linting, and testing rules. It performs a triple-phase review to identify critical issues and guarantee quality.

How does AI prompt optimization work for development workflow execution?

AI prompt optimization works by enhancing user requests using the Lyra AI methodology before execution. This ensures the AI correctly understands the task scope and complexity, leading to more accurate automated development and rigorous validation.

Can I use automated task routing for diverse workflows like project setup and web development?

Yes, automated task routing supports diverse workflows including web development, project setup, and complex planning. It automatically selects the best workflow based on task risk, scope, and complexity to deliver a quality-assured result.

Does automated workflow execution require manual intervention during the multi-phase AI development process?

Automated workflow execution does not require manual intervention during the multi-phase AI development process. It orchestrates everything from understanding requests and planning to coding and executing a triple code review automatically.

Why use intelligent task routing over manual workflow selection for AI development?

Intelligent task routing evaluates task complexity, risk, and scope to automatically select the optimal execution path, unlike manual workflow selection. This ensures strict adherence to project standards and automates quality validation efficiently.