Co-Pilot / 辅助式
更新于 24 days ago

agenticflow-skill

PPixelML
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pixelml/agenticflow-skill
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💡 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开发人员工作流自动化专家数据科学家业务流程经理精通技术的项目经理

🤖 AI 吐槽:看起来很能打,但别让配置把人劝退。

安全分析中风险

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.

五维分析
清晰度8/10
创新性7/10
实用性9/10
完整性7/10
可维护性8/10
优缺点分析

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

useful-ai-prompts

A
toolCo-Pilot / 辅助式
88/ 100

“一个提示的宝藏,但别指望它们为你写小说。”

mcpspy

A
toolCo-Pilot / 辅助式
86/ 100

“MCPSpy:因为谁不想窥探他们 AI 的秘密?”

fastmcp

A
toolCo-Pilot / 辅助式
86/ 100

“FastMCP:因为谁不喜欢在AI中添加一点复杂性呢?”

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.