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.

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

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

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.

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 systems coordinate multiple agents to solve complex tasks collaboratively.

To understand orchestration patterns, load: reference/workforce/overview.md

For terminology and definitions, see reference/glossary.md.