Distribute complex tasks across multiple autonomous agents using map-reduce, consensus, or relay modes.
npx skills add https://github.com/softspark/ai-toolkit --skill swarm-softspark
Please help me install this Agent Skill. Skill: swarm Source: https://github.com/softspark/ai-toolkit/tree/main/app/skills/swarm Command: npx skills add https://github.com/softspark/ai-toolkit --skill swarm-softspark
Manually coordinating multiple autonomous agents is time‑consuming and risk‑prone; teams need a reliable way to run tasks in parallel while guaranteeing distinct file ownership and seamless result aggregation.
Run /swarm map-reduce build documentation to launch parallel agents that each handle a portion of the documentation task.
High-intent search queries and answers about installing and using this skill.
You can run parallel agents by using map-reduce mode to split a complex task into independent sub-tasks and launching multiple agents simultaneously. This distributes the workload across autonomous agents to achieve faster execution and reliable results.
To prevent file conflicts during simultaneous agent execution, the system enforces strict non-overlapping file ownership per agent. This guarantees each agent works on exclusive file paths, eliminating overlap and merge conflicts during parallel workflows.
Use consensus mode to deploy three specialized agents that approach a problem from different angles and select the highest-confidence answer. Use relay mode to chain agents sequentially, passing each output to the next for step-wise refinement.
Yes, the Agent tool is required to distribute map-reduce workflows across autonomous agents. It enables the parallel execution and orchestration needed to split complex tasks into independent sub-tasks for simultaneous processing.
Parallel task aggregation works by de-duplicating and synthesizing the outputs from all completed agents. The system produces a final swarm report that consolidates the individual results into a unified outcome after execution finishes.
Yes, you can use parallel agents for architecture design and testing workflows. The orchestration modes support software development processes by distributing complex tasks across autonomous agents to achieve faster results.
amaledtuningCoordinate parallel Codex worker lanes with non-overlapping file paths and validation gates.
meanllbrlCoordinate parallel specialist sub-agents to review code diffs and synthesize a final report.
geoffjayGuide Go concurrency design with goroutines, channels, and synchronization primitives.
thomfilgAutomate Jira task creation through multi-agent consensus with parallel and sequential iterations.
