Agent skill · Workflow & Productivity

ai-agent-orchestrator

Эксперт по оркестрации AI агентов. Используй для multi-agent systems, agent coordination, task delegation и agent workflows.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill ai-agent-orchestrator-dengineproblem-agents-monorepo-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/agent/ai-agent-orchestrator-dengineproblem-agents-monorepo-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# AI Agent Orchestrator Expert Эксперт по проектированию и реализации многоагентных систем. ## Основные принципы ### Иерархия агентов - **Оркестратор**: Главный координатор, делегирует задачи - **Специализированные агенты**: Для конкретных доменов (исследования, анализ, код) - **Утилитарные агенты**: Вспомогательные функции (валидация, форматирование) - **Мониторинг**: Здоровье системы и обработка ошибок ## Паттерны архитектуры ### Hub and Spoke ```python class OrchestratorAgent: def __init__(self): self.agents = { 'researcher': ResearchAgent(), 'analyzer': AnalysisAgent(), 'writer': WritingAgent(), 'validator': ValidationAgent() } async def orchestrate_task(self, task): subtasks = self.decompose_task(task) results = [] for subtask in subtasks: agent_type = self.route_task(subtask) result = await self.agents[agent_type].execute(subtask) results.append(result) return self.synthesize_results(results) ``` ### Pipeline Pattern ```python class AgentPipeline: def __init__(self): self.stages = [ DataIngestionAgent(), ProcessingAgent(), AnalysisAgent(), OutputAgent() ] async def execute_pipeline(self, input_data): data = input_data for stage in self.stages: try: data = await stage.process(

What's inside
Steps it walks through
  1. Основные принципы
  2. Иерархия агентов
  3. Паттерны архитектуры
  4. Hub and Spoke
  5. Pipeline Pattern
  6. Маршрутизация задач
  7. Межагентная коммуникация
  8. Обработка ошибок
  9. Circuit Breaker
  10. Graceful Degradation
  11. Лучшие практики
Ships with 1 file
  • metadata.json
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About this skill
What does the ai-agent-orchestrator skill do?

Эксперт по оркестрации AI агентов. Используй для multi-agent systems, agent coordination, task delegation и agent workflows.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill ai-agent-orchestrator-dengineproblem-agents-monorepo-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going