💡 Summary
AgenticFlow enables the creation of AI workflows, agents, and collaborative workforce systems.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Medium. Review: outbound network access (SSRF, data egress). Run with least privilege and audit before enabling in production.
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.
Pros
- Comprehensive guide for various AI workflows.
- Supports multiple node types for diverse tasks.
- Facilitates collaboration among agents.
Cons
- Lacks examples for practical implementation.
- Documentation could be more detailed in some areas.
- No mention of error handling in workflows.
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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author PixelML.