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LlamaAgents로 이벤트 기반 문서 에이전트 워크플로 구축

LlamaAgents를 사용하여 비동기 Python 워크플로 단계를 정의하고, 문서 중심 에이전트 파이프라인을 조정하며, 해당 워크플로를 서비스, 클라이언트 또는 배포 가능한 에이전트 앱으로 노출합니다.

LlamaAgents로 이벤트 기반 문서 에이전트 워크플로 구축란 무엇인가요?

이 스킬은 LlamaAgents 프레임워크를 사용하여 이벤트 기반 문서 에이전트 워크플로를 구축하는 방법을 설명합니다. LlamaAgents는 문서 중심 에이전트를 Python으로 구축하고 배포하기 위한 오픈소스 프레임워크로, 비동기 Python 함수인 단계들이 이벤트를 생성하고 소비하는 에이전트 워크플로우(Agent Workflows) 위에 구축됩니다. 개발자는 이를 활용하여 복잡한 문서 처리 파이프라인을 비동기 단계로 정의하고, 서비스, 클라이언트, 또는 배포 가능한 에이전트 앱으로 노출할 수 있습니다. 필요 사항으로 Python과 llama-index-workflows 라이브러리가 있으며, 추가로 llama-agents-server, llama-agents-client, llamactl을 사용하면 더 고급 서빙과 배포가 가능합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-event-driven-document-agent-workflows-with-llamaagents
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이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

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스킬 README에서

Unit Testing
Coverage Status
GitHub contributors

문서

LlamaAgents로 이벤트 기반 문서 에이전트 워크플로 구축은(는) 무엇을 하나요?

LlamaAgents를 사용하여 비동기 Python 워크플로 단계를 정의하고, 문서 중심 에이전트 파이프라인을 조정하며, 해당 워크플로를 서비스, 클라이언트 또는 배포 가능한 에이전트 앱으로 노출합니다.

필수 구성 요소

Python; llama-index-workflows; 선택사항: 서빙 및 배포를 위한 llama-agents-server, llama-agents-client, llamactl

설치

환경에 맞는 업스트림 설치 또는 설정 경로를 사용하세요:

  • uv tool install llamactl

업스트림 요구 사항 및 주의 사항:

  • 문서 중심 에이전트를 Python으로 구축하고 배송하기 위한 오픈소스 프레임워크입니다.
  • LlamaAgents는 에이전트 워크플로우 위에 구축되며, 이는 단계가 이벤트를 생성하고 소비하는 비동기 Python 함수인 이벤트 기반 오케스트레이션 라이브러리입니다....
  • python

기본 사용법 또는 시작하기 참고:

문서

소스

Individual skills in this repo

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

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

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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