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agenticflow-skill skill

/SKILL.md

This skill helps you design and optimize AgenticFlow automation workflows, orchestrate agents, and connect services for scalable AI-powered operations.

npx playbooks add skill pixelml/agenticflow-skill --skill agenticflow-skill

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SKILL.md
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---
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](./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).

Overview

This skill is a practical guide for designing AI workflows, single agents, and multi-agent workforce systems using AgenticFlow. It consolidates node types, orchestration patterns, and execution models to help you build reliable automation with extensive service integrations. Use it to plan, configure, and run linear automation pipelines and coordinated agent teams.

How this skill works

The skill explains the linear workflow model where sequential nodes execute top-to-bottom, each performing a discrete action such as an LLM call, data transform, API request, or file operation. It describes agent configuration—defining persona, tools, and capabilities—and workforce patterns for coordinating multiple agents like supervisor, swarm, pipeline, and debate. The guide maps node schemas, connection providers, and execution behavior so you can compose end-to-end automations that integrate with 2,500+ services.

When to use it

  • Design an automation pipeline that must run deterministically in sequence
  • Create a single intelligent agent with defined tools and a persona
  • Orchestrate multiple agents to solve complex tasks collaboratively
  • Integrate external services (Slack, Gmail, Notion, etc.) into an AI flow
  • Prototype production-ready workflows that call models, APIs, and file ops

Best practices

  • Model flows as simple, linear sequences—avoid implicit branching since nodes run sequentially
  • Choose node types that match intent: LLMs for generation, json_parse for transforms, http_request for external APIs
  • Define clear agent tools and persona to constrain behavior and improve reliability
  • Use connection providers for secure credential management when integrating external services
  • Test flows end-to-end with representative inputs and add logging at node boundaries
  • Orchestrate workforce patterns intentionally: use Supervisor for delegation, Pipeline for staged work, Swarm for distributed exploration

Example use cases

  • Customer support automation: parse incoming messages, classify intent, generate responses, and log to CRM
  • Content production: generate briefs with an LLM node, create images, and publish via CMS integration
  • Data ingestion: parse PDFs, transform JSON, enrich via external APIs, and store results
  • Cross-team orchestration: supervisor agent assigns sub-tasks to specialist agents, aggregates outputs, and finalizes deliverable
  • Automated QA: run agents in debate pattern to compare solutions and pick best answer

FAQ

Are workflows allowed to branch or loop?

No. Workflows are linear and sequential; nodes execute top-to-bottom without branching or loops.

How do I connect external services securely?

Use the connection provider model to configure and manage credentials for integrations, ensuring secure access to services like Slack, Gmail, and Notion.