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OpenClaw skill

agenticflow-skill

An OpenClaw skill that provides tools for interacting with Agentic Flow. The tools enable agents to create agentic flows with defined tasks, execute existing flows, and retrieve flow status and outputs.

Files

Review the files below to add this skill to your agents.

SKILL.md content

---
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).

How this skill works

  • Provides capability `agenticflow:create`
  • Accepts required input `flow_yaml` of type string
  • Outputs `flow_id` of type string
  • Outputs `dashboard_url` of type string
  • Sends the `flow_yaml` to the AgenticFlow API
  • Creates a new workflow via the API
  • Returns the `flow_id` and `dashboard_url`

When to use it

  • When creating a new AgenticFlow workflow from a natural language description
  • When executing an existing AgenticFlow workflow
  • When querying the status of an AgenticFlow workflow execution
  • When updating parameters of an AgenticFlow workflow

Best practices

  • Obtain an AgenticFlow API key from the platform
  • Set the AGENTICFLOW_API_KEY environment variable
  • Optionally set AGENTICFLOW_BASE_URL for custom endpoints
  • Test the skill with simple queries before production use

Example use cases

  • Creating agentic workflows: Uses the create_workflow function to define and instantiate new workflows in AgenticFlow with specified name, description, and tasks.
  • Executing agentic workflows: Uses the execute_workflow function to run a specified workflow by ID, returning execution ID and status.
  • Monitoring workflow executions: Uses the get_execution_status function to retrieve the current status and results of a workflow execution by ID.
  • Listing available workflows: Uses the list_workflows function to retrieve a list of existing workflows in the AgenticFlow workspace.

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