agents-swarm-orchestration
FeaturedCoordinates parallel subagents and multi-agent workflows. Use when splitting work into dependency-aware workers, verifier passes, or isolated research streams.
Install
Quality Score: 89/100
Skill Content
Details
- Author
- vasilyu1983
- Repository
- vasilyu1983/AI-Agents-public
- Created
- 9 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
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agent-swarm
(Industry standard: Parallel Agent) Primary Use Case: Work that can be partitioned into independent sub-tasks running concurrently across multiple agents. Parallel multi-agent execution pattern. Use when: work can be partitioned into independent tasks that N agents can execute simultaneously across worktrees. Includes routing (sequential vs parallel), merge verification, and correction loops.
orchestrating-parallel-work
Orchestrates parallel execution of AI agents with dependency analysis and batch scheduling. Use when coordinating multiple concurrent tasks, optimizing task ordering, or when multiple independent agents would benefit the workflow.
multi-agent-orchestration
Advanced multi-agent patterns using Claude Code's built-in orchestration. Teams, background agents, coordinator pattern, worker restrictions, SendMessage protocol, fork subagents. Auto-activates on multi-agent, orchestrate, team, coordinator, parallel agents, worker agents, background agent, agent swarm.