Spawn parallel worker terminals to execute multi-domain tasks concurrently.
npx skills add https://github.com/lofidonut3/oh-my-speckit --skill orchestrate-lofidonut3
Please help me install this Agent Skill. Skill: orchestrate Source: https://github.com/lofidonut3/oh-my-speckit/tree/main/skills/orchestrate Command: npx skills add https://github.com/lofidonut3/oh-my-speckit --skill orchestrate-lofidonut3
Spawn parallel worker terminals to execute multi-domain tasks concurrently by dedicating a separate OpenCode instance per domain.
Use /orchestrate to spawn workers for 3+ independent tasks spanning 2+ domains. If you have a plan file, reference it with execute.
High-intent search queries and answers about installing and using this skill.
To run parallel tasks across multiple domains, you can spawn dedicated worker terminals that execute independent tasks concurrently. This orchestration approach assigns one worker per domain to process tasks without strong sequential dependencies.
Parallel worker terminals are needed when you have at least three independent tasks spanning two or more domains. This orchestration method is designed for scenarios where tasks can run concurrently without strong sequential dependencies.
To spawn parallel workers in WSL, the orchestration tool supports environment controls and tmux to launch dedicated terminal sessions. It monitors these domain-specific workers and collects their results into a shared workspace.
Parallel orchestration supports Windows environments by spawning workers through Windows Terminal or via WSL using tmux. This ensures cross-platform compatibility for executing concurrent multi-domain tasks.
The maximum orchestration depth is strictly limited to 2 to prevent uncontrolled spawning of worker terminals. The ORCH_DEPTH and ORCH_MAX_DEPTH environment variables govern this worker behavior and enforce the depth limits.
If opencode is unavailable during multi-domain task execution, the orchestration system supports prompt-based fallbacks to continue operations. It also monitors the workers and collects all resulting outputs to a shared workspace.
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