Coordinate parallel agent execution with git worktree isolation and PASS/FAIL results.
npx skills add https://github.com/maystudios/maxsimcli --skill maxsim-batch
Please help me install this Agent Skill. Skill: maxsim-batch Source: https://github.com/maystudios/maxsimcli/tree/main/templates/skills/maxsim-batch Command: npx skills add https://github.com/maystudios/maxsimcli --skill maxsim-batch
Batch orchestration for AI agents requires coordinating multiple tasks in parallel while avoiding file conflicts and stale context. This skill provides a structured approach to decompose work, spawn isolated agents, and collect consistent results.
Spawn all agents in a single message block to execute independent tasks in parallel.
High-intent search queries and answers about installing and using this skill.
To run parallel agents in isolated git worktrees, spawn all agents within a single message block. This provides each agent with an isolated worktree context, enforcing non-overlapping file modifications and preventing conflicts during batch execution.
Orchestrating batch tasks requires decomposing large tasks into independent units with non-overlapping outputs. Agents execute in parallel across isolated worktrees, tracking progress and performing per-wave verification before merging results into a final plan.
Parallel agent execution enforces deterministic results by applying worktree isolation and a strict 'RESULT: PASS/FAIL' output contract. This explicit output format enables automated orchestration and reliable per-wave verification across all spawned agents.
Use parallel batch orchestration when three or more independent tasks can run without overlapping file modifications, where speed matters and deterministic results are required. It accelerates execution by coordinating multiple isolated agents in a single wave.
Yes, you can spawn multiple agents in a single message block for batch processing. This technique launches all agents simultaneously, each operating within isolated worktree contexts to execute independent tasks and accelerate overall workflow completion.
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