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Ereignisgesteuerte Dokumenten-Agenten-Workflows mit LlamaAgents…

Verwenden Sie LlamaAgents, um asynchrone Python-Workflow-Schritte zu definieren, dokumentenzentrierte Agenten-Pipelines zu koordinieren und diese Workflows als Dienste, Clients oder bereitstellbare Agenten-Apps bereitzustellen.

Was ist Ereignisgesteuerte Dokumenten-Agenten-Workflows mit LlamaAgents…?

Dieses Skill ermöglicht es Entwicklern, mit LlamaAgents ereignisgesteuerte Workflows für dokumentenzentrierte Agenten zu erstellen. LlamaAgents basiert auf der Bibliothek 'Agent Workflows', bei der Schritte als asynchrone Python-Funktionen definiert werden, die Ereignisse senden und empfangen. Der Skill unterstützt die Definition von Workflows, die Koordination von Pipelines zur Dokumentenverarbeitung und die Bereitstellung dieser Workflows als Dienste, Clients oder eigenständige Agenten-Apps. Die Plattform ist Open Source und eignet sich besonders für Szenarien, in denen Dokumente wie PDFs, Word-Dateien oder Texte von mehreren KI-Agenten verarbeitet werden müssen. Die Installation erfolgt über Paketmanager wie 'uv tool install llamactl', und die Dokumentation bietet detaillierte Anleitungen zur Nutzung. Das Skill ist ideal für Entwickler, die komplexe, asynchrone Agenten-Workflows in Python orchestrieren möchten, ohne sich um die zugrunde liegende Infrastruktur kümmern zu müssen.

Funktioniert mit~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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Dokumentation

Ereignisgesteuerte Dokumenten-Agenten-Workflows mit LlamaAgents erstellen

Verwenden Sie LlamaAgents, um asynchrone Python-Workflow-Schritte zu definieren, dokumentenzentrierte Agenten-Pipelines zu koordinieren und diese Workflows als Dienste, Clients oder bereitstellbare Agenten-Apps bereitzustellen.

Voraussetzungen

Python; llama-index-workflows; optional llama-agents-server, llama-agents-client und llamactl für das Bereitstellen und Ausführen

Installation

Verwenden Sie den Upstream-Installations- oder Einrichtungspfad, der Ihrer Umgebung entspricht:

  • uv tool install llamactl

Anforderungen und Hinweise von Upstream:

  • Ein Open-Source-Framework zum Erstellen und Bereitstellen von dokumentenzentrierten Agenten in Python.
  • LlamaAgents basiert auf Agent Workflows, einer ereignisgesteuerten Orchestrierungsbibliothek, bei der Schritte asynchrone Python-Funktionen sind, die Ereignisse senden und empfangen.
  • python

Grundlegende Nutzung oder erste Schritte:

Dokumentation

Quelle

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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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

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Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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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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