💡 摘要
AgenticFlow使创建AI工作流、代理和协作工作系统成为可能。
🎯 适合人群
🤖 AI 吐槽: “看起来很能打,但别让配置把人劝退。”
风险:Medium。建议检查:是否发起外网请求(SSRF/数据外发)。以最小权限运行,并在生产环境启用前审计代码与依赖。
name: agenticflow-skills description: Comprehensive guide for building AI workflows, agents, and workforce systems with AgenticFlow. Use when designing workflows with various node types, configuring single agents, or orchestrating workforce collaboration patterns. license: MIT
AgenticFlow Skills
AgenticFlow is a platform for building AI-powered automation workflows, intelligent agents, and workforce systems.
Quick Navigation
| Topic | When to Use | Reference | |-------|-------------|-----------| | Workflow | Building automation flows with nodes | workflow/overview.md | | Agent | Creating single intelligent agents | reference/agent/overview.md | | Workforce | Orchestrating multiple agents | reference/workforce/overview.md |
Workflow
Workflows are linear automation pipelines composed of sequential nodes. Each node performs a specific action.
| Guide | Description | |-------|-------------| | overview.md | Core concepts, schemas, execution model | | how-to-build.md | Step-by-step build guide | | how-to-run.md | Execute workflows and handle results | | node-types.md | Node type schemas and discovery | | connections.md | Connection providers and setup |
Node Types Overview
| Category | Example Node Types | Purpose |
|----------|-------------------|---------|
| AI/LLM | claude_ask, openai_chat, gemini | AI model calls, text generation |
| Image Generation | generate_image, dall_e | Create images from prompts |
| Data Processing | json_parse, text_transform | Transform and manipulate data |
| Integrations | slack_send, gmail, notion | Connect to 300+ external services (MCPs) |
| API Calls | http_request, webhook | HTTP requests and webhooks |
| File Operations | file_upload, pdf_parse | Upload, download, process files |
Note: Workflows in AgenticFlow are linear and sequential - nodes execute top to bottom with no branching or loops.
Agent
An Agent is an AI entity with specific capabilities, tools, and a defined persona.
To learn about agent configuration, load: reference/agent/overview.md
Workforce
Workforce systems coordinate multiple agents to solve complex tasks collaboratively.
To understand orchestration patterns, load: reference/workforce/overview.md
Common Patterns
- Supervisor - One agent delegates to specialists
- Swarm - Agents self-organize dynamically
- Pipeline - Sequential agent handoffs
- Debate - Agents discuss to reach consensus
Glossary
For terminology and definitions, see reference/glossary.md.
优点
- 提供各种AI工作流的全面指南。
- 支持多种节点类型以处理多样化任务。
- 促进代理之间的协作。
缺点
- 缺乏实际实施的示例。
- 某些领域的文档可以更详细。
- 未提及工作流中的错误处理。
相关技能
免责声明:本内容来源于 GitHub 开源项目,仅供展示和评分分析使用。
版权归原作者所有 PixelML.
