Bindu enables AI agents to function as interoperable microservices. Operations teams can deploy agents that communicate, observe, and compose with other services. It supports agent-to-agent communication, orchestration, and autonomous operations.
git clone https://github.com/GetBindu/Bindu.gitBindu is an innovative Claude Code skill designed to transform any AI agent into a living microservice that is interoperable, observable, and composable. This skill allows developers and product managers to integrate multiple AI agents into a single cohesive service, enhancing collaboration and efficiency within AI-driven applications. By automating complex interactions between autonomous agents, Bindu streamlines workflows and enables real-time communication for improved decision-making. The key benefits of using Bindu include the ability to create production-ready AI agents in minutes using a cookiecutter template, which significantly reduces the time spent on setup and configuration. While the exact time savings are currently unknown, the skill's intermediate implementation difficulty, taking approximately 30 minutes, is manageable for developers familiar with AI automation. This makes Bindu a practical choice for teams looking to optimize their AI workflows and leverage automation for better productivity. Bindu is particularly relevant for developers, product managers, and AI practitioners who are involved in creating and managing AI systems. By using Bindu, these professionals can automate payment processing between AI agents in a distributed system or register and manage AI agents in the Bindu Directory for easy discoverability. This skill is ideal for teams aiming to enhance their AI-first workflows and improve the interoperability of their AI solutions. With its focus on workflow automation, Bindu fits seamlessly into modern AI-first environments. It enables organizations to harness the power of multiple AI agents, facilitating their integration into a unified service architecture. As businesses increasingly adopt AI technologies, skills like Bindu will be crucial in driving efficiency and innovation. For those ready to take their AI automation to the next level, Bindu offers a robust solution that simplifies the complexities of managing AI agents.
Integrate multiple AI agents into a single cohesive service for enhanced collaboration.
Automate payment processing between AI agents in a distributed system.
Enable real-time communication between autonomous agents for improved decision-making.
Create a production-ready AI agent in minutes using the cookiecutter template.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/GetBindu/BinduCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a Bindu microservice for [COMPANY] in the [INDUSTRY] sector. The microservice should handle [SPECIFIC TASK], using [DATA] as input. Ensure it is interoperable with existing systems and provides observability metrics.
# Bindu Microservice: Customer Support Triage ## Overview - **Company**: TechSolutions Inc. - **Industry**: IT Services - **Task**: Customer Support Triage - **Data**: Customer support tickets, historical resolution data ## Interoperability - REST API endpoints for integration with existing CRM systems - Webhook support for real-time notifications ## Observability - Metrics: Ticket resolution time, agent utilization, customer satisfaction scores - Logging: Detailed logs for each support interaction ## Composition - Can be composed with other microservices for advanced workflows - Supports chaining with payment processing and inventory management services
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