multi-agent-orchestration
SolidDesign and operate bounded multi-agent workflows with task decomposition, dependency graphs, ownership, handoff contracts, shared-state controls, approvals, recovery, and synthesis. Use when a task contains genuinely independent workstreams, specialized roles, parallel research or implementation, reviewer-worker loops, or coordination problems that one agent should not execute sequentially.
Install
Quality Score: 82/100
Skill Content
Details
- Author
- seb1n
- Repository
- seb1n/awesome-ai-agent-skills
- Created
- 7 months ago
- Last Updated
- 1 months ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
multi-agent-orchestration
Coordinate authorized parallel agents on independent bounded tasks with explicit ownership, evidence contracts, cost awareness, and final reconciliation. Invoke explicitly when parallel work can reduce latency without creating edit collisions or delegating irreversible decisions.
multi-agent-orchestration
Design and coordinate multi-agent systems where specialized agents work together to solve complex problems. Covers agent communication, task delegation, workflow orchestration, and result aggregation. Use when building coordinated agent teams, complex workflows, or systems requiring specialized expertise across domains.
multi-agent-orchestration
Coordinate multiple AI agents for complex tasks — decomposition, delegation, and synthesis