| 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
Workflow
Workflows are linear automation pipelines composed of sequential nodes. Each node performs a specific action.
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.
