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Microsoft Agent Framework로 멀티 에이전트 워크플로우 구축 및 추적

Microsoft Agent Framework를 사용하여 프로덕션 수준의 멀티 에이전트 워크플로우를 구성, 오케스트레이션 및 추적합니다.

Microsoft Agent Framework로 멀티 에이전트 워크플로우 구축 및 추적란 무엇인가요?

이 스킬은 Microsoft Agent Framework(MAF)를 활용하여 .NET과 Python 환경에서 생산성 높은 AI 에이전트 및 멀티 에이전트 워크플로우를 구축, 오케스트레이션 및 추적하는 방법을 설명합니다. MAF는 프로토타입에서 프로덕션으로 전환하는 팀을 위해 설계된 오픈 소스 프레임워크로, 일관된 API와 도구를 제공하여 복잡한 에이전트 시스템을 쉽게 관리할 수 있게 합니다. Python 및 C#/.NET을 완전히 지원하며, OpenTelemetry 호환 백엔드를 통해 관측 가능성(observability)을 활성화하면 워크플로우 실행을 추적하고 디버깅할 수 있습니다. 이 스킬은 설치, 기본 사용법 및 관련 문서에 대한 링크를 포함하여 MAF를 시작하는 데 필요한 모든 정보를 제공합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-and-trace-multi-agent-workflows-with-microsoft-agent-framework
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이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

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문서

Microsoft Agent Framework로 멀티 에이전트 워크플로우 구축 및 추적은(는) 무엇을 하나요?

Microsoft Agent Framework를 사용하여 프로덕션 수준의 멀티 에이전트 워크플로우를 구성, 오케스트레이션 및 추적합니다.

필수 조건

Python 또는 .NET 런타임, Microsoft Agent Framework 패키지, 관측 가능성 활성화 시 OpenTelemetry 호환 추적 백엔드

설치

사용자 환경에 맞는 업스트림 설치 또는 설정 경로를 사용하세요:

  • pip install agent-framework

업스트림의 요구 사항 및 주의 사항:

  • Microsoft Agent Framework(MAF)는 .NET 및 Python에서 프로덕션 수준의 AI 에이전트 및 멀티 에이전트 워크플로우를 구축하기 위한 오픈소스 다중 언어 프레임워크입니다.
  • Microsoft Agent Framework는 에이전트를 프로토타입에서 프로덕션으로 전환하는 팀을 위해 설계되었습니다. Python과 .NET 전반에서 에이전트 시스템을 구축, 오케스트레이션 및 운영하기 위한 일관된 기반을 제공합니다.
  • Python 및 C#/.NET 지원: 일관된 API를 제공하는 Python 및 C#/.NET 구현에 대한 완전한 프레임워크 지원

기본 사용법 또는 시작하기 참고 사항:

문서

출처

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

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act Local GitHub Actions Runner

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Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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