langflow-ai/langflow
Langflow is a powerful open-source platform for building, testing, and deploying AI-powered agents and workflows with visual authoring, multi-agent orchestration, and API integration capabilities.
Awesome AI Agents › AI Workflow Orchestrators
The project "Claude Code Slash Commands" is a comprehensive collection of 57 production-ready slash commands designed to extend the capabilities of Claude Code, a platform for intelligent automation and multi-agent orchestration in software development. The commands are divided into two main categories: 15 workflows and 42 tools. Workflows are multi-agent orchestration systems that coordinate complex, multi-step operations across various domains, enabling end-to-end feature implementation, code review, test-driven development, CI/CD automation, security hardening, and incident response among others. Tools are specialized single-purpose utilities optimized for specific development tasks such as AI and machine learning integration, agent collaboration, code quality improvement, data pipeline management, DevOps and infrastructure optimization, testing and development support, security and compliance auditing, and debugging and analysis. The repository requires Claude Code to be installed and configured, and it uses a slash commands pattern for invocation. Commands are organized in directories and can be invoked with directory prefixes or copied to the root directory for prefix-free usage. The project also mentions an alternative modern approach using a Plugin Marketplace that offers similar functionalities through a cleaner plugin architecture. Each workflow and tool is designed to address specific aspects of software development, from feature development and legacy modernization to AI-assisted debugging and compliance checks. The workflows coordinate multiple specialized agents to handle complex tasks, while the tools provide focused utilities for tasks like code migration, prompt optimization, Kubernetes configuration, API scaffolding, and security scanning. This collection aims to enhance productivity, automation, and quality in modern software development by leveraging multi-agent orchestration and intelligent automation techniques.
https://github.com/wshobson/commands
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