Launch independent Claude sub-agents in isolated tmux sessions.
npx skills add https://github.com/nsheaps/ai-mktpl --skill tmux-subagent
Please help me install this Agent Skill. Skill: tmux-subagent Source: https://github.com/nsheaps/ai-mktpl/tree/main/plugins/tmux-subagent/skills/tmux-subagent Command: npx skills add https://github.com/nsheaps/ai-mktpl --skill tmux-subagent
Coordinate and run multiple independent Claude instances in parallel while keeping each agent isolated with its own configuration, tool permissions, and plugin environment to avoid interference, accidental modifications, or permission escalation.
Launch a tmux sub-agent named refactor-task to refactor the authentication module in src/auth and report the proposed changes.
High-intent search queries and answers about installing and using this skill.
To run parallel Claude instances without interference, you can launch isolated sub-agents in separate tmux sessions. This creates independent environments with per-session temporary workspaces, preventing accidental modifications and state sharing between agents.
Testing Claude plugins in an isolated environment is best achieved by launching a sub-agent in a dedicated tmux session. This approach allows you to install session-scoped plugins and apply specific tool permission rules without risking your main configuration.
Yes, you can enforce different tool permissions for each Claude agent by applying allow and deny rules per tmux session. This ensures each isolated sub-agent operates within its defined capability boundaries.
You can monitor and control long-running background AI tasks in tmux by using exposed tmux and iTerm monitoring utilities. These tools allow you to track output, send messages or interrupts, and clean up sessions when tasks are finished.
Yes, tmux-subagent works with iTerm by exposing specific iTerm integration utilities for monitoring and control. You can use these alongside tmux commands to observe sub-agent output and manage session lifecycles.
You should use isolated tmux sessions for AI automation workflows to prevent permission escalation and state interference. This method provides each agent with its own configuration and workspace, ensuring safe parallel processing.
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