Coordinate multi-agent workflows by assigning tasks to Coder, Debug, and Tester workers via nanoworker CLI.
npx skills add https://github.com/ponsde/multi-agent-workflow --skill leader
Please help me install this Agent Skill. Skill: leader Source: https://github.com/ponsde/multi-agent-workflow/tree/main/skills/leader Command: npx skills add https://github.com/ponsde/multi-agent-workflow --skill leader
This Skill provides leadership orchestration capabilities to manage and coordinate multiple AI agents in a scalable workflow, reducing manual coordination and ensuring reliable task routing.
Start by deploying the Leader and dispatching the first task via nanoworker as shown in the Agent Registry.
High-intent search queries and answers about installing and using this skill.
Multi-agent workflow coordination is managed by a Leader role that dynamically assigns tasks to Coder, Debug, and Tester workers, using a centralized routing system to dispatch asynchronous instructions via the nanoworker CLI.
The three-stage flow for multi-agent verification consists of agent-change-review, agent-apply, and agent-verify stages, providing iterative validation and centralized orchestration governance across the distributed worker roles.
Yes, dynamic agent discovery and strict task routing are executed using Bash and nanoworker CLI commands, allowing the Leader to query the agent registry and asynchronously dispatch tasks to available workers.
Task distribution across coder, debug, and tester roles is handled by a centralized control point that dynamically routes assignments, ensuring scalable collaboration and reducing manual coordination overhead.
The best way to orchestrate multi-agent workflows without manual coordination is deploying a centralized Leader role to govern task routing, utilizing asynchronous dispatch and dynamic agent registry lookups for reliable end-to-end execution.
userFRMDownload and dispatch specialized subagents on demand via keyword routing.
droxeyConvert engineering requests into specs, TDD-oriented plans, and verified execution steps.
bestdanDecompose software tasks into work packets dispatched to multiple AI coder backends.
brolagCoordinate multi-agent workflows across architect, dev, and critic roles.
