Orchestrate parallel subagent swarms to decompose and distribute complex tasks.
npx skills add https://github.com/ShaheerKhawaja/ProductionOS --skill auto-swarm
Please help me install this Agent Skill. Skill: auto-swarm Source: https://github.com/ShaheerKhawaja/ProductionOS/tree/main/skills/auto-swarm Command: npx skills add https://github.com/ShaheerKhawaja/ProductionOS --skill auto-swarm
Coordinating complex tasks across multiple subagents is tedious and error-prone, leading to inconsistent results and slower delivery.
Invoke the auto-swarm workflow with a defined task to begin decomposing and distributing work across the swarm.
High-intent search queries and answers about installing and using this skill.
To orchestrate parallel subagents, the auto-swarm workflow automatically decomposes complex tasks into independent slices and distributes them across controlled waves. It tracks convergence to ensure desired quality before stopping.
Subagent swarm orchestration coordinates multiple agents by breaking large tasks into independent slices and building a coverage map. It runs waves of subagents only when beneficial, tracking progress until coverage converges to the desired quality.
Yes, you can configure both swarm size and depth for AI code review workflows. The orchestration applies explicit task boundaries and guardrails while running subagent waves only when beneficial for the specified convergence criteria.
The best way to decompose large tasks is to invoke the auto-swarm workflow with a defined task. It automatically breaks the task into independent slices, builds a coverage map, and distributes work across controlled parallel subagent waves.
No, auto-swarm requires no external dependencies to run parallel subagent orchestration. It operates as a standalone workflow that manages task decomposition, controlled parallelism, and convergence tracking internally.
You should avoid using subagent swarms when tasks cannot be broken into independent slices or when controlled parallelism provides no benefit. The workflow explicitly runs subagent waves only when beneficial for convergence and coverage.
The-RabakOrchestrate autonomous engineering workflows with swarm-based task delegation across multiple agents.
hanibalskExecute implementation plans by dispatching fresh subagents with code reviews between tasks.
patriotnewsactivismDelegate tasks to specialized subagents for synchronous and asynchronous execution.
OpenAEC-FoundationGenerate a plan.json, spawn parallel workers, and synthesize results.
