agenticflow-skills

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

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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.

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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

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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

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Glossary

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