How do I install the Agenticflow Skills skill?

Run npx skillmds@latest add modbender/agenticflow-skills in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Agenticflow Skills safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Agenticflow Skills?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Agenticflow Skills free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Agenticflow Skills?

modbender (@modbender) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Agenticflow Skills by modbender — Agent Skill

Name: Agenticflow Skills
Rating: 4.666666666666667 (3 reviews)
Author: modbender

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.

modbender Updated Sep 9, 2026 12 repo stars

File contents

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.

---name: agenticflow-skillsdescription: 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](./reference/workflow/overview.md) | | **Agent** | Creating single intelligent agents | [reference/agent/overview.md](./reference/agent/overview.md) | | **Workforce** | Orchestrating multiple agents | [reference/workforce/overview.md](./reference/workforce/overview.md) | --- ## Workflow Workflows are linear automation pipelines composed of sequential nodes. Each node performs a specific action. | Guide | Description | |-------|-------------| | [overview.md](./reference/workflow/overview.md) | Core concepts, schemas, execution model | | [how-to-build.md](./reference/workflow/how-to-build.md) | Step-by-step build guide | | [how-to-run.md](./reference/workflow/how-to-run.md) | Execute workflows and handle results | | [node-types.md](./reference/workflow/node-types.md) | Node type schemas and discovery | | [connections.md](./reference/workflow/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](./reference/agent/overview.md) --- ## Workforce Workforce systems coordinate multiple agents to solve complex tasks collaboratively. **To understand orchestration patterns, load:** [reference/workforce/overview.md](./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](./reference/glossary.md).

Frequently asked questions