Install

npx clawhub@latest install agenticflow-skill

Full SKILL.md

name	description	license
agenticflow-skills	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.	MIT

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.