Launch and manage multi-agent Stoa teams with terminal sessions.
npx skills add https://github.com/denson/the-stoa --skill team-launcher
Please help me install this Agent Skill. Skill: team-launcher Source: https://github.com/denson/the-stoa/tree/main/substrate/skills/team-launcher Command: npx skills add https://github.com/denson/the-stoa --skill team-launcher
This Skill streamlines the process of launching and managing Stoa agent teams, reducing the need for manual terminal management and enabling efficient collaboration with agents.
Run the 'launch-team' command to initiate a team launch.
High-intent search queries and answers about installing and using this skill.
To launch a multi-agent team for project collaboration, run the 'launch-team' command to initiate a complete Stoa agent setup with predefined gauntlet and chain-of-command rules. This creates terminal sessions for agents like POLYBIUS and PLINY automatically.
Yes, you can customize the agent composition when setting up a Stoa team. The launcher supports custom agent additions like CHIRON or HAMILTON alongside the standard team, allowing you to tailor the collaborative workflow to specific project requirements.
Yes, you need Windows and Claude to run terminal sessions for agent teams. These are the required dependencies for the launcher to create terminal sessions and manage the multi-agent Stoa team coordination effectively.
The default gauntlet in Stoa agent team management is a predefined testing process that runs automatically upon team launch. It executes unless explicitly waived by the user, ensuring agents meet the required operational standards before collaboration begins.
Yes, you can configure separate windows, tabs, or panes for agent terminal sessions. The launcher supports customizable layouts, allowing you to organize the visual workspace for your Stoa agent team based on your project management preferences.
The best way to manage multiple agents for collaborative project work is using a unified terminal launch system that creates sessions for each agent. This approach handles the chain-of-command rules and team coordination automatically, reducing manual terminal management.
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