Superset is a terminal for orchestrating multiple AI agents like Claude Code and OpenCode. It allows operations teams to run parallel agents on their machines, streamlining coding tasks and workflow automation. Connects to CLI-based agents and integrates with existing development environments.
git clone https://github.com/superset-sh/superset.gitSuperset is an innovative automation skill designed for orchestrating multiple agents, including Claude Code and OpenCode, directly from your terminal. This skill allows developers and AI practitioners to run a team of CLI agents on their machines, enabling seamless collaboration and task execution. By leveraging Superset, users can manage various coding agents in parallel, significantly enhancing productivity and efficiency in development workflows. One of the key benefits of using Superset is its ability to isolate different projects within separate git worktrees, effectively avoiding conflicts that can arise during development. This feature is particularly valuable for teams working on multiple projects simultaneously. Additionally, Superset provides a centralized interface for monitoring the status of various agents, allowing users to receive notifications and updates in real-time. This streamlined approach not only saves time but also simplifies the management of complex development environments. Superset is ideal for developers, product managers, and AI practitioners who are looking to optimize their workflow automation. With its intermediate implementation difficulty, users can set up Superset in approximately 30 minutes. The skill is particularly beneficial for those who need to quickly review and edit code changes, thanks to its built-in diff viewer. Moreover, it allows for the establishment of automated environments for new projects using workspace presets, making it easier to onboard new team members or initiate new tasks. Incorporating Superset into your AI-first workflows can significantly enhance your team's efficiency and collaboration. As organizations increasingly adopt AI automation, having a robust tool like Superset can help streamline processes and improve overall productivity. With its practical use cases, such as running multiple coding agents in parallel and monitoring their performance from a single interface, Superset stands out as a valuable asset for anyone looking to leverage AI agent skills effectively.
Run multiple coding agents in parallel to speed up development tasks.
Isolate different projects in separate git worktrees to avoid conflicts.
Monitor the status of various agents from a single interface and receive notifications.
Quickly review and edit code changes using the built-in diff viewer.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/superset-sh/supersetCopy 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.
Run a series of commands using [AGENT_TYPE] to automate tasks for [COMPANY] in the [INDUSTRY] industry. Use the following data: [DATA].
### Command Execution Report **Company:** Tech Innovations Inc. **Industry:** Software Development #### Executed Commands: 1. **Initialize Project**: `create-project --name 'AI Automation'` 2. **Install Dependencies**: `npm install axios express` 3. **Run Server**: `node server.js` #### Summary: - The project 'AI Automation' was successfully created. - All dependencies were installed without errors. - The server is now running on port 3000. #### Next Steps: - Test API endpoints using Postman. - Begin development of user authentication features.
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