agent-orchestration
SolidAgent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows. Use when building autonomous agent loops, coordinating multiple agents, evaluating CrewAI/AutoGen/Swarm, or orchestrating complex multi-step scenarios.
Install
Quality Score: 86/100
Skill Content
Details
- Author
- yonatangross
- Repository
- yonatangross/orchestkit
- Created
- 5 months ago
- Last Updated
- today
- Language
- TypeScript
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
agent-orchestration
Provides best practices for AI agent orchestration including MCP servers, A2A protocol, multi-agent coordination, and swarm architectures. Use when designing agent systems, configuring MCP servers, setting up agent teams, or when user mentions 'MCP', 'A2A', 'agent orchestration', 'multi-agent', 'swarm', 'agent team', 'LangGraph', 'CrewAI', 'AutoGen'.
agent-orchestration
Proactively orchestrate running AI agents — scan statuses, assess progress, send next instructions, and coordinate multi-agent workflows. Use when users ask to manage agents, orchestrate work across agents, or check on agent progress.
agent-orchestration
Agent Orchestration Rules
agent-orchestration
Agent Orchestration Rules
agent-patterns
Select and implement the right agentic architecture pattern for a task. Use when designing a multi-step AI workflow, choosing between chaining/routing/parallelization/orchestrator-workers/evaluator-optimizer, or when the user asks how to structure an agent system. Do NOT use for single LLM calls or prompt writing (use prompt-craft).