This repository provides a meta-framework for orchestrating specialized AI agents to automate software development workflows, transforming manual command chains into single-command, end-to-end processes with automated quality gates. It targets developers seeking to enhance productivity and code quality through AI-driven automation.

How It Works

The system employs a multi-agent architecture where specialized AI agents, configured in /agents/, handle distinct development tasks like requirements generation, coding, testing, and review. These agents operate in isolated contexts to prevent pollution and are orchestrated via slash commands defined in /commands/. A key innovation is the "Quality Gate Automation," which uses objective scoring (e.g., Functionality 40%, Integration 25%) to ensure a 90% quality threshold, triggering automatic optimization loops for iterative improvement.

Quick Start & Requirements

1. Setup: Copy the configuration structure (commands/, agents/, CLAUDE.md) into your project directory.
2. Usage: Execute commands like /requirements-pilot "Implement JWT user authentication system" for automated workflows or individual commands like /ask, /code, /test for manual orchestration.
3. Dependencies: Requires Claude AI access. Specific Claude model versions or API keys are not explicitly detailed but are implied for functionality.

Highlighted Details

• Automated workflows aim for 90%+ quality assurance with specialized AI teams.
• Supports both fully automated "Requirements-Driven Workflow" and step-by-step "Custom Commands" orchestration.
• Features an "Implementation-First Approach" focusing on generating actionable technical specifications for code.
• Includes an automatic optimization loop triggered when quality gates are not met.

Maintenance & Community

The project is presented as a "Claude Code configuration framework," welcoming contributions for new agent configurations, workflow patterns, and quality metrics. Support is available via GitHub issues and discussions for workflow patterns.

Licensing & Compatibility

The project is licensed under the MIT License, permitting commercial use and integration with closed-source projects.

Limitations & Caveats

The effectiveness and quality assurance heavily depend on the underlying Claude AI model's capabilities and the specific configurations within the /agents/ and /commands/ directories. The README implies a "95% quality assurance" in the description but details a "90% quality threshold" for automated progression, which may require clarification.